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Article

The Effect of Splenectomy on Postoperative Morbidity and Survival in Patients with Peritoneal Carcinomatosis

1
Gastroenterological Surgery Department, Kosuyolu Yüksek İhtisas Training and Research Hospital, TR University of Health Sciences, Istanbul 34865, Türkiye
2
Gastroenterological Surgery Department, Zonguldak Ataturk State Hospital, Ministry of Health, Zonguldak 67100, Türkiye
3
General Surgery Department, Bursa City Hospital, TR University of Health Sciences, Bursa 16250, Türkiye
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2025, 14(22), 8223; https://doi.org/10.3390/jcm14228223
Submission received: 13 September 2025 / Revised: 17 November 2025 / Accepted: 18 November 2025 / Published: 20 November 2025
(This article belongs to the Section General Surgery)

Abstract

Background/Objectives: Cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) are effective treatment modalities for patients with peritoneal carcinomatosis (PC), though splenectomy is frequently required and its impact on outcomes remains unclear. Previous studies have evaluated splenectomy as a binary variable without distinguishing surgical indication, potentially obscuring important prognostic differences. This retrospective study aimed to evaluate the impact of splenectomy on postoperative morbidity and survival in patients undergoing CRS + HIPEC. Methods: A retrospective analysis was conducted on 149 patients who underwent CRS + HIPEC between 2018–2022 at a single tertiary center. The study examined patients with various cancer origins, including colorectal, ovarian, gastric, pseudomyxoma peritonei, and malignant peritoneal mesothelioma. Demographic characteristics, surgical procedures, complications, and survival outcomes were comprehensively analyzed. Patients were categorized by splenectomy and further stratified by surgical indication (iatrogenic injury, peritoneal implants, hilar tumor invasion). Results: Splenectomy was associated with longer ICU stay (median 1.5 vs. 1 day, p < 0.001) and hospitalization (median 12 vs. 9 days, p = 0.005). Individual pulmonary complications were more frequent in the splenectomy group, though major complication rates (Clavien–Dindo ≥ 3) were similar (34.7% vs. 21.7%, p = 0.086). When analyzed without stratification by indication, splenectomy showed no impact on OS (median 42.7 vs. 42.2 months, p = 0.665) or DFS (median 32.1 vs. 35.4 months, p = 0.138). However, stratification by indication revealed divergent prognostic effects: splenectomy for peritoneal implants independently predicted worse DFS (OR = 17.814, 95% CI: 3.025–104.894, p = 0.001), while splenectomy for hilar invasion was protective (OR = 0.136, 95% CI: 0.025–0.736, p = 0.021). PCI independently predicted both OS (OR = 1.150 per point, p = 0.006) and DFS (OR = 1.166 per point, p < 0.001). Primary tumor type was not independently prognostic after adjusting for PCI (OS p = 0.345, DFS p = 0.163). Conclusions: Splenectomy during CRS + HIPEC was associated with prolonged intensive care and hospital stays without increasing major complications. Peritoneal implant-related splenectomy predicts worse DFS, likely reflecting extensive disease burden, while hilar invasion-related splenectomy is protective, possibly reflecting more complete regional clearance achieved during en bloc resection to attain CC-0. Given the retrospective nature of this study and the heterogeneous patient population, these findings should be interpreted with caution. Further prospective research with larger, more homogeneous patient cohorts is warranted to definitively establish the long-term implications of splenectomy in CRS + HIPEC procedures.

1. Introduction

Cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) is one of the surgical methods used in patients with peritoneal carcinomatosis (PC). Its benefits have been demonstrated particularly in appendiceal PC cases [1] while its efficacy in other origins remains a topic of debate [2]. Moreover, although no randomized trial has been performed for diffuse malignant peritoneal mesothelioma, the beneficial effect of CRS + HIPEC is widely accepted. Its applications have further expanded to include various malignancies with peritoneal spread, including colorectal, gastric and pseudomyxoma peritonei. However, given the life-threatening complications of this procedure, patients’ peculiarities should be considered in the selection of this procedure [3,4,5,6,7]. In recent studies, the morbidity rates in patients undergoing CRS + HIPEC ranged from approximately 12% to 60%, while mortality rates ranged from approximately 0.9% to 5.8% [8].
Splenectomy may be necessary in peritoneal carcinomatosis (PC) due to hematologic, direct, or peritoneal dissemination, as well as following iatrogenic injuries. A recent study involving patients with epithelial ovarian cancer undergoing CRS with concurrent splenectomy due to splenic invasion found no difference in postoperative prognosis compared to other patient populations [9]. Another study evaluating patients with advanced-stage epithelial ovarian cancer reported that splenectomy was associated with more aggressive surgical interventions, higher rates of reoperation, blood transfusions, postoperative infections, and prolonged ICU stays, although disease-free survival (DFS) and overall survival (OS) rates were comparable between groups [10].
Among patients undergoing CRS, splenectomy was associated with increased minor complications, leading to recommendations for spleen preservation when feasible [11]. Similarly, data from PC patients revealed higher rates of infectious complications, pancreatic fistula, and intestinal perforation in those undergoing splenectomy, identifying it as a poor perioperative risk indicator [12]. Moreover, it has been shown that splenectomy performed during CRS + HIPEC may induce hematotoxic effects, and that granulocyte counts may increase, particularly following the use of oxaliplatin [13,14]. Another analysis highlighted that splenectomy was more frequent in patients with higher peritoneal cancer index (PCI) scores and elevated BMI undergoing CRS + HIPEC [15].
The impact of splenectomy on survival remains more controversial. Several studies have reported that cancer patients exhibit altered immune responses following splenectomy [16]. The most prominent theories supporting this observation primarily emphasize the spleen’s central role in the immune system, and secondarily, the potential delay of adjuvant therapy in already vulnerable patients due to major morbidity associated with splenectomy [17].
Two main mechanisms may explain the potential impact of splenectomy on survival. The spleen exerts a dual role in tumor immunology, influencing both immune activation and suppression depending on the host status [16,18]. While some studies suggest reduced immunosuppression and enhanced cytotoxic activity after splenectomy, others report increased regulatory T cell activity and metastasis [19,20,21,22,23]. Clinically and experimentally, inferior survival outcomes or immunosuppression have been observed in gastric and pancreatic cancers, suggesting that immune dysregulation after splenectomy may contribute to poorer prognosis, particularly in conditions like peritoneal carcinomatosis [24]. As another example in patients with ovarian cancer undergoing CRS + HIPEC, splenectomy performed due to invasion or hematologic dissemination did not influence long-term survival outcomes, which were instead dependent on chemotherapy sensitivity [25]. The specific impact of splenectomy during CRS + HIPEC procedures in malignant peritoneal mesothelioma and gastric cancers has not yet been specifically evaluated in the literature.
While prior studies have explored the implications of splenectomy in CRS + HIPEC, its effect on postoperative morbidity in PC patients remains unclear [26]. This study aims to evaluate the impact of splenectomy on postoperative morbidity in patients with PC undergoing CRS + HIPEC.

2. Materials and Methods

2.1. Design

The study was initiated following the approval of the ethics committee with the reference number 2023/06/679 dated 4 April 2023 at Kosuyolu Training and Research Hospital. Records of 149 patients who underwent CRS + HIPEC at the Department of Gastroenterological Surgery, Kosuyolu Training and Research Hospital, between 1 January 2018, and 31 December 2021, were examined. Patients with histologically confirmed colorectal cancer, pseudomyxoma peritoneii, ovarian cancer, gastric cancer or peritoneal malignant mesothelioma cancer diagnosis were included in the study and retrospectively screened. Informed consent was not obtained due to the retrospective nature of the study.
Patients who underwent palliative or emergency surgery, had incomplete perioperative or early postoperative clinical/laboratory data, or did not attend follow-up visits after discharge were excluded from the study to ensure data completeness. Additionally, patients with Eastern Cooperative Oncology Group scores ≥ 3 were excluded because of contraindications. Regarding disease origins, patients with PCI > 18 for colon cancer, patients with PCI > 10 for gastric cancer, and patients with sarcomatoid malign mesothelioma were also excluded. Lastly, patients who were previously diagnosed with extra-abdominal metastasis, centralization, and mesenteric root involvement were excluded to avoid incomplete cytoreductions. The CRS + HIPEC was performed according to the open technique described by Sugarbaker et al. [27].

2.2. Surgical Procedures and Indications for Splenectomy

Splenectomy was performed when one or more of the following conditions were present: (1) direct tumor invasion of the splenic parenchyma or hilum, (2) extensive disease on the splenic capsule that could not be cleared with local resection, (3) involvement of splenic flexure requiring en bloc resection, (4) iatrogenic injury during mobilization of adjacent structures, or (5) to facilitate exposure for comprehensive cytoreduction of the left upper quadrant peritoneum or diaphragm. The decision to perform splenectomy was made intraoperatively based on these findings.
For survival analysis, these indications were categorized into three groups: hilar tumor invasion (indication #1), peritoneal implants (indications #2, #3, #5), and iatrogenic injury (indication #4). Cases with overlapping features were categorized based on the primary indication requiring the most extensive resection.
Peritonectomy was performed only in patients with evident peritoneal metastases, and was not applied prophylactically. The procedures were carried out according to the standard peritonectomy techniques defined by Sugarbaker, including pelvic, diaphragmatic, and paracolic peritoneal stripping when indicated [27].
Following complete cytoreduction, HIPEC was administered using the open coliseum technique with continuous perfusion for 60 min. Disease-specific chemotherapy regimens were categorized into oxaliplatin-based and cisplatin-based protocols according to established guidelines. For colorectal cancer and pseudomyxoma peritonei: Intraperitoneal oxaliplatin 360–460 mg/m2 combined with intravenous 5-fluorouracil 400 mg/m2 and leucovorin 20 mg/m2 at 42 °C for 60 min. For gastric cancer, ovarian cancer, and malignant mesothelioma: Intraperitoneal cisplatin 50–100 mg/m2 combined with doxorubicin 15–50 mg/m2 at 41–43 °C for 60 min. Drug dosing was individualized based on patient body surface area and comorbidities. Inflow and outflow temperatures were continuously monitored and maintained within target range. Perfusion was performed using a roller pump with flow rates adjusted to maintain adequate circulation throughout the peritoneal cavity [28].

2.3. Study Endpoints

The primary endpoints of this study were the evaluation of the impact of splenectomy on OS, defined as the time from CRS + HIPEC procedure to death from any cause or last follow-up, and DFS, defined as the time from CRS + HIPEC procedure to first documented recurrence, progression, or death from any cause. Secondary endpoints included the comparison of postoperative morbidity and complications between splenectomy and non-splenectomy groups using the Clavien–Dindo classification system, with major complications defined as Clavien–Dindo Grade ≥ 3.

2.4. Measurements

The following were measured and recorded: operation duration, intravenous (IV) fluid and transfusion given during the operation, types of fluids administered, hypothermia or hyperthermia, amount of bleeding, use of catecholamines during the operation, body temperatures during the perioperative period, fluid intake and output, medications and dosages used in HIPEC, PCI scores during surgery, and complete cytoreduction scores. Inadequate cytoreduction was defined based on tumor type-specific thresholds: CC-3 (residual disease > 2.5 cm) for ovarian cancer, and CC-2 or higher (residual disease > 2.5 mm) for colorectal, gastric, pseudomyxoma peritonei, and mesothelioma. Patients with inadequate cytoreduction were excluded, as HIPEC was not administered in these cases [29]. In addition to patients’ surgical histories, records of resections and indications for splenectomy during their current surgeries were documented.
Patients’ surgical site infections were defined according to the Centers for Disease Control 1988 classification of surgical site infections modified in 2017 [30,31] and confirmed with culture results in all patients. Mobilization was implemented in all possible patients starting from the first postoperative day. Respiratory physiotherapy was initiated as early as possible after extubation. Urinary catheters were removed during admission to the ward if hemodynamic stabilization was achieved after urine output, and there were no pathologies requiring hourly monitoring. Central venous catheters were removed as early as possible after oral intake was established if peripheral IV cannulation was present. Drains placed routinely in parasplenic, pelvic, Morrison’s pouch, and subdiaphragmatic areas were removed as early as possible after clinical evaluation. Patients who were not vaccinated preoperatively and underwent splenectomy received meningococcal, pneumococcal, and influenza vaccines on postoperative day 15 unless contraindicated.
During the postoperative follow-up of patients, records of early or late metabolic, neurological, respiratory, surgical, and all other complications were extracted. Records of treatments administered for these complications, whether patients underwent repeat surgical procedures, and whether they developed sequelae after recovery were noted. Surviving patients were contacted by phone for survival analysis. Records were kept regarding whether patients received chemotherapy during postoperative follow-up and the number of cycles received, as well as whether they experienced recurrence during follow-up intervals for routine check-ups.

2.5. Statistical Analysis

Statistical analysis of the data was performed using the IBM SPSS Statistics for Windows, version 23.0 (IBM Corp., Armonk, NY, USA). Categorical measurements were summarized as counts and percentages. The normality of the variables was assessed using the Shapiro–Wilk test. Normally distributed continuous variables were expressed as mean ± standard deviation, while non-normally distributed variables were presented as median (interquartile range). The chi-squared test was utilized for comparisons of categorical variables. In cases where groups did not adhere to a normal distribution, the Mann–Whitney U test was employed. Survival analyses were conducted using Kaplan–Meier analysis and Log Rank tests. Multivariate Cox proportional hazards regression models were used to identify independent predictors of overall survival and disease-free survival, adjusting for potential confounding variables including age, gender, BMI, primary tumor type, PCI, and splenectomy indication. A statistical significance level of 0.05 was considered for all tests.

3. Results

Among the 149 patients included in the study, 78 (52.3%) had colorectal cancer, 24 (16.1%) had pseudomyxoma peritonei, 20 (13.4%) had gastric cancer, 18 (12.1%) had ovarian cancer, and 9 (6.0%) had malignant peritoneal mesothelioma. Splenectomy was performed in 52 (34.9%) patients, while 97 (65.1%) patients did not undergo splenectomy.
When comparing demographic and clinical parameters, gender distribution showed no significant difference between splenectomy and non-splenectomy groups (p = 0.376).
Primary malignancy distribution differed significantly between groups (p < 0.001), with colorectal cancer predominant in the non-splenectomy group (64.0%) compared to the splenectomy group (30.8%). Conversely, pseudomyxoma peritonei (26.9% vs. 10.3%) and malignant mesothelioma (13.4% vs. 2.1%) were more frequent in the splenectomy group. Comorbidities did not affect splenectomy rates. The median Peritoneal Cancer Index was significantly higher in the splenectomy group (9 vs. 3, p = 0.010). HIPEC regimen differed between groups, with oxaliplatin more commonly used in the non-splenectomy group (74.9% vs. 57.6%) and cisplatin more frequent in the splenectomy group (42.4% vs. 25.1%, p = 0.038).
Splenectomy group patients underwent more extensive surgical procedures, including peritonectomy (86.6% vs. 38.2%, p < 0.001), diaphragmatic peritonectomy (80.8% vs. 24.7%, p < 0.001), pelvic peritonectomy (59.7% vs. 28.9%, p < 0.001), total colectomy (26.9% vs. 2.1%, p < 0.001), colon resection (59.7% vs. 50.5%, p = 0.009), gastrectomy (25.0% vs. 12.4%, p = 0.049), Glisson capsule resection (36.5% vs. 7.3%, p < 0.001), distal pancreatectomy (7.7% vs. 0%, p = 0.014), and small intestine resection (30.7% vs. 14.4%, p = 0.017). Ostomy formation was more common in the splenectomy group, with ileostomy being the predominant type (88.4% ileostomy vs. 11.6% colostomy in splenectomy group, p = 0.041).
Intraoperative complications were more frequent in the splenectomy group (9.6% vs. 1.1%, p = 0.048), primarily bladder injury. Splenectomy patients had longer operations (10 [5–16] vs. 6 [3–14] h, p < 0.001), higher mean albumin transfusion (0.32 ± 0.10 vs. 0.17 ± 0.04 vials, p < 0.002), and extended ICU (1.5 [1–21] vs. 1 [1–20] days, p < 0.001) and hospital stays (12 [5–43] vs. 9 [4–77] days, p = 0.005).
Postoperatively, splenectomy patients experienced significantly higher rates of hepatotoxicity (27.0% vs. 4.2%, p < 0.001), pleural effusion (25.0% vs. 4.1%, p < 0.001), pancreatic fistula (15.4% vs. 1.1%, p = 0.001), nephrotoxicity (21.2% vs. 7.2%, p = 0.012), and pneumothorax (7.7% vs. 0%, p = 0.013). Disease recurrence and progression for CCS1 patients was significantly more common in the splenectomy group (44.2% vs. 26.8%, p = 0.031) (Table 1).
During OS and DFS analysis, 3 patients with early postoperative mortality were excluded and remaining 146 patients were analyzed. OS analysis showed no gender differences between survivors and non-survivors (p = 0.510). Primary tumor distribution showed no significant difference (p = 0.063), though gastric cancer was more prevalent among non-survivors (26.1% vs. 10.6%). Comorbidities showed no impact on survival. OS was lower in patients who underwent ostomy formation. (p = 0.014), with more colostomies among non-survivors (26.1% vs. 4.9%). Non-survivors had significantly longer operations (8.25 [6.00–11.50] vs. 6.00 [5.00–9.00] h, p = 0.030) and hospital stays (13.00 [9.00–22.00] vs. 10.00 [7.00–13.00] days, p = 0.015).
Specific complications were significantly more common in non-survivors, including encephalopathy (8.7% vs. 0.0%, p = 0.001), paraplegia (4.3% vs. 0.0%, p = 0.020), and cellulitis (8.7% vs. 0.8%, p = 0.014) (Table 2).
During DFS analysis, 146 patients were evaluated (101 with recurrence, 45 without recurrence). Primary tumor distribution and demographics showed no differences between groups. Smoking history was unexpectedly more common in the non-recurrence group (17.8% vs. 5.9%, p = 0.025).
Patients without recurrence underwent significantly more extensive surgical procedures, including peritonectomy (68.9% vs. 48.5%, p = 0.022), total colectomy (24.4% vs. 5.0%, p < 0.001), total gastrectomy (22.2% vs. 9.9%, p = 0.046), and splenectomy (46.7% vs. 29.7%, p = 0.047). Correspondingly, these patients had longer operative times (8.25 [6.00–12.00] vs. 6.00 [5.00–8.00] h, p < 0.001) and hospital stays (12.00 [9.00–15.00] vs. 9.00 [7.00–13.00] days, p = 0.002), reflecting more aggressive cytoreductive efforts.
Patients with recurrence had higher PCI scores (5 vs. 3, p = 0.002) and greater transfusion requirements, including albumin (0.40 ± 0.08 vs. 0.12 ± 0.04 vials, p < 0.001), packed red blood cells (1.31 ± 0.22 vs. 0.61 ± 0.11 units, p = 0.008), and fresh frozen plasma (2.04 ± 0.30 vs. 0.67 ± 0.12 units, p = 0.002). CCS 0 rates were higher in those without recurrence (86.7% vs. 96.0%, p = 0.038) (Table 3).
Cox regression analyses for OS showed that demographic factors including age, gender, BMI and complications associated with mortality were not significant predictors. In univariate analysis, splenectomy indication was significant (overall p = 0.117), with peritoneal implant splenectomy associated with increased mortality risk (OR = 3.679, 95% CI: 1.224–11.060, p = 0.020), while hilar invasion and iatrogenic splenectomy showed no significant associations. Postoperative complications (nephrotoxicity, hepatotoxicity, pneumothorax, pleural effusion, pancreatic fistula) showed no significant associations. Hospitalization duration was significant in univariate analysis (OR = 1.055, 95% CI: 1.014–1.098, p = 0.008).
Multivariate Cox regression analysis for OS included primary tumor type, complete cytoreduction score, PCI, splenectomy indication, and hospital length of stay. Primary tumor type showed no significant association with OS (overall p = 0.345), with all individual diagnostic categories remaining non-significant in multivariate modeling. Pseudomyxoma peritonei could not be evaluated due to zero mortality events in this group.
PCI emerged as a significant independent predictor of OS when modeled continuously (OR = 1.150 per 1-point increase, 95% CI: 1.041–1.270, p = 0.006), indicating that each unit increase in PCI was associated with a 15% increase in mortality risk. Hospital length of stay remained an independent predictor (OR = 1.058 per day, 95% CI: 1.005–1.112, p = 0.030), with each additional day increasing mortality risk by approximately 5.8%.
Splenectomy indication showed no overall significant association with OS in multivariate analysis (p = 0.121). However, when examined by specific indication, peritoneal implant splenectomy demonstrated a borderline association with increased mortality risk (OR = 4.505, 95% CI: 0.939–21.620, p = 0.060), though this did not reach statistical significance. Hilar invasion splenectomy showed no association with OS (OR = 0.448, 95% CI: 0.078–2.582, p = 0.369), and iatrogenic splenectomy could not be estimated due to zero events. Complete cytoreduction score showed no significant association with OS in multivariate analysis (Table 4).
Cox regression analyses for DFS showed no significant associations with age, gender, BMI, complications or primary tumor type. Also HIPEC-related and splenectomy-associated complications showed no association. Splenectomy indication was significant in both univariate and multivariate analyses (p < 0.001). In univariate analysis, splenectomy for peritoneal implants was associated with significantly increased recurrence risk (OR = 25.146, 95% CI: 5.410–116.886, p < 0.001), while iatrogenic splenectomy and hilar invasion showed no significant associations. PCI analyzed as a continuous variable was an independent predictor of recurrence in univariate (OR = 1.080, p = 0.003) analysis. Complete cytoreduction score showed borderline significance in univariate analysis (p = 0.050).
Multivariate Cox regression analysis for DFS included primary tumor type, splenectomy indication, complete cytoreduction score, and PCI (continuous). Primary tumor type showed no overall significant association with DFS (p = 0.163), though gastric cancer demonstrated a borderline trend toward increased recurrence risk (OR = 3.081, 95% CI: 0.845–11.230, p = 0.088).
Splenectomy indication emerged as a highly significant independent predictor of DFS (overall p < 0.001). Peritoneal implant-related splenectomy was strongly associated with increased recurrence risk (OR = 17.814, 95% CI: 3.025–104.894, p = 0.001), indicating an approximately 18-fold increase in recurrence compared to patients without splenectomy. In contrast, hilar dissection-related splenectomy was independently associated with improved DFS (OR = 0.136, 95% CI: 0.025–0.736, p = 0.021), representing an 86% reduction in recurrence risk.
PCI analyzed as a continuous variable was a significant independent predictor of recurrence (OR = 1.166 per 1-point increase, 95% CI: 1.066–1.276, p = 0.001), with each unit increase in PCI associated with a 16.6% increase in recurrence risk. Complete cytoreduction score showed no significant association with DFS in multivariate analysis (Table 5).
Kaplan–Meier survival analyses demonstrated that the OS duration in patients who underwent splenectomy (median 42.7 months, 95% CI 36.7–48.7 months) was comparable to those who did not undergo splenectomy (median 42.2 months, 95% CI 37.9–46.5 months). The Log-Rank test confirmed no significant difference between the survival curves (χ2 = 0.187, p = 0.665). Similarly, DFS analysis showed no significant difference between patients who underwent splenectomy (median 32.1 months, 95% CI 25.8–38.5 months) and those who did not (median 35.4 months, 95% CI 31.2–39.6 months; Log-Rank χ2 = 2.202, p = 0.138). The Kaplan–Meier curves for OS and DFS are presented in Figure 1 and Figure 2, respectively, with corresponding survival data detailed in Table 6.

4. Discussion

This study aimed to analyze the morbidity and survival outcomes following splenectomy in patients undergoing CRS + HIPEC. Our findings demonstrated that splenectomy was significantly associated with prolonged ICU and hospital stay durations. While complications such as nephrotoxicity, hepatotoxicity, pneumothorax, pleural effusion, and pancreatic fistula were more frequently observed in patients who underwent splenectomy, the rates of major complications remained statistically similar between the splenectomy and non-splenectomy groups. Correspondingly, OS rates showed no significant differences between the two groups. However, when stratified by surgical indication, splenectomy demonstrated divergent prognostic impacts on DFS. In patients who underwent splenectomy due to the presence of peritoneal implants, DFS was independently and strongly associated with recurrence (OR = 17.814, p = 0.001), representing an approximately 18-fold increased risk. Conversely, splenectomy for hilar tumor invasion was independently associated with improved DFS (OR = 0.136, p = 0.021), likely reflecting the more extensive perisplenic lymphadenectomy required in these cases. This association was not observed in cases where the indication was iatrogenic injury, which showed a protective trend without reaching statistical significance. Additionally, peritoneal disease burden quantified as continuous PCI emerged as an independent predictor of both OS (OR = 1.150, p = 0.006) and DFS (OR = 1.166, p = 0.001), while primary tumor type showed no independent prognostic significance after adjusting for PCI and surgical factors (OS p = 0.345, DFS p = 0.163).
Non-hematological cancer cases have been associated with splenectomy as an additional surgical procedure, which has been shown to be associated with additional surgical complications and a poor prognostic effect. Studies evaluating the relationship between splenectomy and complications in patients with PC reveal that splenectomy in CRS + HIPEC procedures is associated with an increased frequency of pulmonary complications and a higher incidence of Grade 3–4 complications. In our study, although individual pulmonary complications were observed more frequently in the splenectomy group (pneumothorax, pleural effusion), multivariate analyses showed that major complications (Clavien–Dindo Grade ≥ 3) were not independently associated with splenectomy. Splenectomy was independently associated with prolonged hospitalization (OR = 1.058 per day, p = 0.030), likely reflecting overall surgical complexity and disease burden rather than representing a direct causal effect.
Saxena et al. conducted a comprehensive study including 936 patients to investigate the outcomes of splenectomy in all patients undergoing CRS + HIPEC. It was observed that patients who underwent splenectomy, approximately 418 patients, had higher PCIs, and underwent more aggressive surgical procedures such as major peritonectomy, partial gastrectomy, or colectomy. It was shown that patients who underwent splenectomy had a higher incidence of pancreatic fistula, infectious complications, intra-abdominal collection development, bleeding, intestinal fistula, and sepsis. An increase in all grade 3 and 4 complications, as well as prolonged hospital and ICU stays, were observed. Similarly, in the present study, similar to the report by Saxena et al., the need for splenectomy increased when the PCI was ≥6. Additionally, longer hospital and ICU stays in splenectomy patients were also demonstrated in our study. However, the isolated or overall increase in complications mentioned in the study by Saxena et al. was not observed to be associated with splenectomy in our study [12].
In a study by Angeles et al. involving 992 patients who underwent HIPEC, splenectomy requirement was found to be associated with the development of gastric perforation, high BMI, and high PCI in 533 patients who underwent CRS. However, in our study group, no patients with gastric perforation were observed. Similarly to the study by Angeles et al., our study also showed a significant association between higher peritoneal disease burden and increased need for splenectomy [15].
Regarding studies on patient survival, only studies associated with CRS + HIPEC in ovarian cancers have been identified in the literature. In a study involving 28 patients with ovarian cancer who underwent CRS + HIPEC, it was shown that there was no difference between patients who underwent splenectomy and those who did not [9]. However, this study included only patients with splenectomized ovarian cancers and was primarily designed to evaluate hematological complications. Therefore, it would not be appropriate to make comparisons between the study and our study. In a study by Said et al., splenectomy was performed in 99 patients with advanced ovarian cancer, and their data were compared with those of patients who did not undergo splenectomy. Although patients who underwent splenectomy required more aggressive surgical interventions, surgical procedure reoperations, and blood transfusions and had more postoperative infections and longer ICU stays, similar rates of DFS and OS were found in these patients [10]. In our study, no increased need for splenectomy, specifically in patients with ovarian cancers, was observed. When all patient groups were examined, it was shown that patients who underwent splenectomy had higher PCI scores, required more transfusions, and had longer ICU and hospital stays; this is similar to the findings in the study by Said et al. [10]. However, in our study, the rates of postoperative surgical site infections and reoperation were similarly distributed between the groups. Disease-specific subgroup analysis for ovarian cancer was not feasible due to limited sample size (n = 18 with only 2 deaths), precluding reliable survival comparisons stratified by splenectomy status. Nevertheless, in the overall cohort analysis, splenectomy indication emerged as a critical prognostic determinant: splenectomy performed for peritoneal implants was independently associated with worse DFS (OR = 17.814, p = 0.001), while splenectomy for hilar invasion requiring extensive lymphadenectomy was protective (OR = 0.136, p = 0.021).
In our study, no relationship was found between early postoperative mortality (<90 days) and splenectomy. When analyzed without stratification by indication, splenectomy showed no independent association with OS or DFS. However, stratification by surgical indication revealed critical prognostic differences: splenectomy for peritoneal implants independently predicted markedly increased recurrence (OR = 17.814, p = 0.001), while splenectomy for hilar tumor invasion was protective (OR = 0.136, p = 0.021). The association between peritoneal implant splenectomy and recurrence primarily reflects the extent of peritoneal disease burden rather than the splenectomy procedure itself. Patients requiring splenectomy for peritoneal implants had significantly higher PCI scores (median 9 vs. 3, p = 0.010) and more extensive peritoneal involvement, which independently drives recurrence risk.
Several limitations should be considered when interpreting our findings. The retrospective design limits our ability to control for all confounding factors. Patient selection for CRS + HIPEC is individualized based on tumor characteristics and clinical condition. Our cohort included patients with different primary malignancies, each with different biological behavior and prognosis. This heterogeneity makes it difficult to separate the effects of splenectomy from the effects of underlying disease.
The rarity of some conditions prevented reliable disease-specific analyses (Supplementary Materials). Therefore, survival outcomes may reflect tumor biology and disease burden rather than splenectomy itself. For this reason, we analyzed the entire cohort to maintain statistical power while acknowledging this limitation. In view of these limitations, we analyzed the widest possible range of parameters to achieve the most comprehensive evaluation of patient survival and postoperative complications. Further evaluations with more homogenous and disease specific studies are needed.
While our stratified analysis by splenectomy indication revealed divergent prognostic effects (implant indicated splenectomy predicting worse DFS vs. hilar invasion-related splenectomy being protective), we cannot definitively establish causality. The finding that hilar invasion splenectomy improves DFS while peritoneal implant splenectomy worsens outcomes cannot fully separate whether benefits derive from completeness of lymphadenectomy, en bloc resection technique, or unmeasured confounders such as intrinsic tumor biology. Prospective studies with standardized lymph node dissection protocols, pathologic assessment of lymph node yields and metastatic involvement, and ideally propensity score matching or randomized comparison would be required to definitively establish whether lymphadenectomy completeness causally determines outcomes.
Even when analyzing the overall cohort without disease-specific stratification, sample sizes within splenectomy indication subgroups were limited, resulting in wide confidence intervals and limited statistical power for detecting small effect sizes. The protective trend observed with iatrogenic splenectomy (OR = 0.133, p = 0.120), while reassuring, did not reach statistical significance and should be interpreted cautiously given the small sample size.
Also exploring complications for CRS + HIPEC in a heterogenous cohorts should be carefully evaluated. As for disease specific regimens used in protocols, tendency for complications may cause different results. Our cohort consists of two different hipec protocols. OS and DFS analysis stratified by tumor type was not feasible due to small sample sizes in most diagnostic categories (gastric n = 20, ovarian n = 18, mesothelioma n = 9) and insufficient outcome events. Notably, pseudomyxoma peritonei demonstrated zero mortality events (excellent prognosis), precluding any statistical comparison. This limitation also depends on both temporal factors (patients operated in 2021–2022 with <2 years follow-up) and the favorable oncologic outcomes achieved in certain diagnostic subgroups.
Also these limitations reflect the natural challenges of studying rare peritoneal surface malignancies, where even multi-year single-center cohorts struggle to achieve adequate sample sizes for disease-specific analyses. Multicenter collaborative studies or international registry data would be required to adequately power subgroup analyses by tumor type.
This study has several notable strengths. The stratified analysis by splenectomy indication represents a novel approach not previously reported in peritoneal surface malignancy literature, revealing prognostic differences obscured in aggregate analyses. Complete perioperative data collection, standardized HIPEC protocols, and detailed documentation of splenectomy indications strengthen the validity of our findings. The analysis of PCI as a continuous variable rather than dichotomized cutoffs provides superior prognostic stratification and validates the Sugarbaker index as a quantitative biomarker. Finally, inclusion of both morbidity and survival outcomes provides comprehensive evaluation of splenectomy’s impact on perioperative and oncologic endpoints.

5. Conclusions

This study evaluated the impact of splenectomy in patients undergoing CRS + HIPEC on morbidity and mortality. Our findings demonstrate that splenectomy significantly increases ICU and hospital stay durations in patients. However, splenectomy was not found to be a risk factor for the development of major complications in CRS + HIPEC cases. Additionally, when analyzed without stratification by surgical indication, splenectomy did not show any significant effect on overall survival or disease-free survival.
However, stratification by splenectomy indication revealed critical prognostic differences previously obscured in aggregate analyses. While PCI was the main predictor of both OS and DFS as expected; DFS rates in patients who underwent splenectomy for peritoneal implants were found to be markedly lower, while splenectomy for hilar tumor invasion requiring extensive perisplenic lymphadenectomy was strongly protective.
The protective effect observed with hilar invasion splenectomy represents a hypothesis-generating finding requiring prospective validation. Specifically, randomized controlled trials or propensity score-matched studies are needed to distinguish whether improved disease-free survival derives from complete regional clearance to achieve CC-0 in cases of hilar involvement, or disease-specific systematic lymphadenectomy beyond what is necessary for macroscopic cytoreduction. Such studies should incorporate standardized splenectomy indication definitions, protocolized extent of perisplenic dissection, comprehensive pathologic examination with lymph node yields and stations documented, and ideally randomized comparison of standard versus extended lymphadenectomy in patients with hilar involvement.
Furthermore, investigating the increased occurrence of pulmonary complications after splenectomy and assessing factors associated with delayed recovery in these patients through quality-of-life scoring could help explain the lack of differences in survival or recurrence timing despite the increase in hospital and ICU stays. Conducting such studies could also lead to a clearer understanding of the situation.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/jcm14228223/s1. Figure S1: OS analysis of Colorectal Cancer Patients; Figure S2: DFS analysis of Colorectal Cancer Patients; Figure S3: OS analysis of Gastric Cancer Patients; Figure S4: OS analysis of Ovary Cancer Patients; Figure S5: OS analysis of Malign Mesothelioma Patients.

Author Contributions

Conceptualization: S.A. and İ.C.A.; Methodology: S.A. and İ.C.A.; Investigation: S.A., İ.C.A. and A.O.S.; Data Curation: S.A. and E.P.; Original Draft Preparation: S.A., İ.C.A. and A.O.S.; Review and Editing: U.D., M.Ö.Ö., M.D. (Mürşit Dinçer), M.D. (Mustafa Duman) and E.P.; Supervision: E.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki, and ethical approval was obtained from the Koşuyolu Yüksek İhtisas Training and Research Hospital Ethical Committee (Approval number: 2023/06/679, date of approval: 4 April 2023).

Informed Consent Statement

Patient consent was waived because this was a retrospective cohort study.

Data Availability Statement

The data that support the findings of this study are available from TR S.B.U. Kosuyolu Yuksek Ihtisas Training and Research Hospital, but restrictions apply to the availability of these data, which were used under license for the current study and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of TR S.B.U. Kosuyolu Yuksek Ihtisas Training and Research Hospital’s administration.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

CRSCytoreductive Surgery
HIPECHyperthermic Intraperitoneal Chemotherapy
PCPeritoneal Carcinomatosis
OSOverall Survival
DFSDisease-Free Survival
PCIPeritoneal Cancer Index
ICUIntensive Care Unit

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Figure 1. Overall Survival Analysis of All Cases Depending on Splenectomy.
Figure 1. Overall Survival Analysis of All Cases Depending on Splenectomy.
Jcm 14 08223 g001
Figure 2. Disease-Free Survival Analysis of All Cases Depending on Splenectomy.
Figure 2. Disease-Free Survival Analysis of All Cases Depending on Splenectomy.
Jcm 14 08223 g002
Table 1. Clinicopathologic Variables Compared Based on Splenectomy Presence.
Table 1. Clinicopathologic Variables Compared Based on Splenectomy Presence.
Splenectomy
None (n = 97)Present (n = 52)p
n (%)n (%)
Gender Female54 (55.7)25 (48)0.376
Male43 (44.3)27 (52)
DiagnosisColorectal Cancer62 (64)16 (30.8)<0.001 ***
Gastric Cancer12 (12.3)8 (15.4)
Ovary Cancer11 (11.3)7 (13.4)
Pseudomyxoma Peritonei10 (10.3)14 (26.9)
Malignant Mesothelioma2 (2.06)7 (13.4)
Diabetes None84 (86.6)43 (82.7)0.092
Present13 (13.4)9 (17.3)
CADNone91 (93.8)52 (100.0)0.068
Present6 (6.2)0 (0.00)
Smoking None88 (90.7)47 (90.4)0.359
Present9 (9.3)5 (9.6)
COPD or Asthma None95 (97.9)49 (94.2)0.343
Present2 (2.1)3 (5.8)
HypothyroidismNone93 (95.9)49 (94.2)0.695
Present4 (4.1)3 (5.8)
Hypertension None70 (72.1)41 (78.8)0.372
Present27 (27.9)11 (21.2)
Radiotherapy HistoryNone91 (93.8)52 (100.0)0.092
Present6 (6.2)0 (0.00)
Chemotherapy HistoryNone32 (32.9)16 (30.7)0.782
Present65 (67.1)36 (69.3)
HIPEC RegimenOxaliplatin Based72 (74.9)30 (57.6)0.038 *
Cisplatin Based25 (25.1)22 (42.4)
Peroperative ComplicationNone 96 (98.9)47 (90.4) 0.048 *
Ureter Injury1 (1.1)1 (1.9)
Diaphragma Injury0 (0.0)3 (5.8)
Bladder Injury0 (0.0)1 (1.9)
Peroperative Colonic or Small Intestine ResectionNone 95 (97.9)52 (100)0.297
Present2 (2.1)0 (0)
PeritonectomyNone 60 (61.8)7 (13.4)<0.001 ***
Present37 (38.2)45 (86.6)
Diaphragmatic Peritonectomy None 73 (75.3)10 (19.2)<0.001 ***
Present24 (24.7)42 (80.8)
Pelvic Peritonectomy None 69 (71.1)21 (40.3)<0.001 ***
Present28 (28.9)31 (59.7)
TAHBSO 1None 18 (33.3)12 (48.0)0.212
Present36 (66.7)13 (52.0)
GastrectomyNone 85 (87.6)39 (75.0)0.049 *
Present12 (12.4)13 (25.0)
Colon ResectionNone 48 (49.5)21 (40.3)0.009 **
Present49 (50.5)31 (59.7)
Total ColectomyNone 95 (97.9)38 (73.1)<0.001 ***
Present2 (2.1)14 (26.9)
Right HCNone 81 (83.5)43 (82.6)0.899
Present16 (16.5)9 (17.4)
Left HCNone 94 (96.9)46 (88.4)0.065
Present3 (3.1)6 (11.6)
Subtotal ColectomyNone 96 (98.9)52 (100)1
Present1 (1.1)0 (0.00)
Glisson Capsule Resection None 90 (92.7)33 (63.5)<0.001 ***
Present7 (7.3)19 (36.5)
Liver MetastasectomyNone 92 (94.8)48 (92.3)0.719
Present5 (5.2)4 (7.7)
Distal PancreatectomyNone 97 (100)48 (92.3)0.014 **
Present0 (0)4 (7.7)
Ostomy FormationIleostomy14 (63.6)23 (88.4)0.041 *
Colostomy8 (36.4)3 (11.6)
Rectosigmoid ResectionNone 65 (67.1)32 (61.5)0.504
Present32 (32.9)20 (38.5)
Small Intestine ResectionNone 83 (85.5)36 (69.3)0.017 *
Present14 (14.4)16 (30.7)
Postoperative MortalityNone 95 (97.9)51 (98.1)1
Mortality within 30 days2 (2.1)1 (1.9)
ComplicationMinor 76 (78.3)34 (65.3)0.086
Major21 (21.7)18 (34.7)
ReoperationNone90 (92.7)45 (86.5)0.245
Present7 (7.3)7 (13.5)
RecurrenceNone71 (73.2)29 (55.8)0.031 *
Present26 (26.8)23 (44.2)
ResectionNone2 (2.1)0 (0.00)0.543
Present95 (97.9)52 (100.0)
NephrotoxicityNone90 (92.8)41 (78.8)0.012
Present7 (7.2)11 (21.2)
HepatotoxicityNone93 (95.8)38 (73)<0.001 ***
Present4 (4.2)14 (27)
NeutropeniaNone97 (100)51 (98)0.171
Present0 (0)1 (2)
PneumothoraxNone97 (100)48 (92.3)0.013 *
Present0 (0)4 (7.7)
Pleural EffusionNone93 (95.9)39 (75)<0.001 ***
Present4 (4.1)13 (25)
Anastomosis Leakage 2None76 (96.2)34 (94.5)0.653
Present3 (3.8)2 (5.5)
Chylous FistulaNone88 (90.7)50 (96.1)0.33
Present9 (9.3)2 (3.9)
Intestinal FistulaNone94 (96.9)51 (98)1
Present3 (3.1)1 (2)
Pancreatic FistulaNone96 (98.9)44 (84.6)0.001 ***
Present1 (1.1)8 (15.4)
Biliary Tract FistulaNone96 (98.9)52 (100)1
Present1 (1.1)0 (0)
Ostomy Necrosis 3None23 (100)25 (96.1)0.342
Present0 (0)1 (3.9)
Postoperative IleusNone89 (91.7)51 (98)0.162
Present8 (8.3)1 (2)
CellulitisNone96 (98.9)50 (96.1)0.278
Present1 (1.1)2 (3.9)
EncephalopathyNone97 (100)50 (96.1)0.12
Present0 (0)2 (3.9)
ParaplegiaNone96 (98.9)52 (100)1
Present1 (1.1)0 (0)
PneumoniaNone91 (93.8)44 (84.6)0.081
Present6 (6.2)8 (15.4)
Bleeding None91 (93.8)48 (92.3)0.39
Medical Treatment4 (4.1)1 (1.9)
Surgical Treatment2 (2.1)3 (5.8)
ArrhythmiaNone94 (96.9)50 (96.1)1
Present3 (3.1)2 (3.9)
Rectovaginal Fistula 1None53 (98.1)25 (100)0.493
Present1 (1.9)0 (0)
SSINone73 (75.3)37 (71.2)0.587
Present24 (24.7)15 (28.8)
Median (IQR)Median (IQR)p
AgeYears56 (53–59)57 (53–60)0.578
BMIkg/m226.64 (25.91–28.48)27.48 (25.38–29.69)0.873
Operation DurationHours6 (3–14)10 (5–16)<0.001 ***
ICU durationDays1 (1–20)1.5 (1–21)<0.001 ***
Hospitalization DurationDays9 (4–77)12 (5–43)0.005 **
PCI 3 (3–4)9 (2–14)0.010 **
Mean ± sdMean ± sdp Γ
Albumin TransfusionPer Vial0.17 ± 0.040.32 ± 0.10<0.002 **
PRBC TransfusionUnit0.80 ± 0.110.92 ± 0.230.326
FFP Transfusion Unit1.14 ± 0.160.97 ± 0.260.563
1 Only female patients included. 2 Patients who underwent gastrointestinal anastomosis during surgery were included. 3 Patients who underwent ileostomy or colostomy during surgery were included. CAD: Coronary artery disease; COPD: Chronic obstructive pulmonary disease; HIPEC: hyperthermic intraperitoneal chemotherapy, TAHBSO: Total Abdominal Hysterectomy and Bilateral Salpingo-Oophorectomy; HC: Hemicolectomy; PCI: Peritoneal Cancer Index; BMI: Body Mass Index, PRBC: Packed Red Blood Cells; FFP: Fresh Frozen Plasma; SSI: Surgical Site Infection; ICU: Intensive Care Unit, * p < 0.05, ** p < 0.01, *** p < 0.001, † Chi-squared test, ‡ Mann–Whitney U test, Γ: Independent Samples T Test.
Table 2. Clinicopathologic Variables Compared Based on Overall Survival.
Table 2. Clinicopathologic Variables Compared Based on Overall Survival.
Overall Survival
Alive (n = 123)Not Alive (n = 23)p
n (%)n (%)
Gender Female68 (55.3)11 (47.8)0.51
Male55 (44.7)12 (52.2)
DiagnosisColorectal Cancer62 (50.4)14 (60.9)0.063
Gastric Cancer13 (10.6)6 (26.1)
Ovary Cancer16 (13.0)2 (8.7)
Pseudomyxoma Peritonei24 (19.5)0 (0.0)
Malignant Mesothelioma8 (6.5)1 (4.3)
Diabetes None104 (84.6)21 (91.3)0.397
Present19 (15.4)2 (8.7)
CADNone118 (95.9)22 (95.7)0.95
Present5 (4.1)1 (4.3)
Smoking None112 (91.1)20 (87.0)0.54
Present11 (8.9)3 (13.0)
COPD or Asthma None120 (97.6)21 (91.3)0.13
Present3 (2.4)2 (8.7)
HypothyroidismNone117 (95.1)23 (100.0)0.279
Present6 (4.9)0 (0.0)
Hypertension None93 (75.6)17 (73.9)0.862
Present30 (24.4)6 (26.1)
Radiotherapy HistoryNone118 (95.9)21 (91.3)0.917
Present5 (4.1)2 (8.7)
Chemotherapy HistoryNone42 (34.1)5 (21.7)0.242
Present81 (65.9)18 (78.3)
HIPEC RegimenOxaliplatin Regimen94 (76.4)17 (73.9)0.796
Cisplatin Regimen29 (23.5)6 (26.1)
Peroperative ComplicationNone 119 (96.7)22 (95.7)0.107
Ureter Injury2 (1.6)0 (0.0)
Diaphragma Injury2 (1.6)0 (0.0)
Bladder Injury0 (0.0)1 (4.3)
Peroperative Colonic or Small Intestine ResectionNone2 (1.6)0 (0.0)0.538
Present121 (98.4)23 (100.0)
PeritonectomyNone57 (46.3)9 (39.1)0.524
Present66 (53.7)14 (60.9)
TAHBSO 1None22 (48.9)1 (12.5)0.056
Present23 (51.1)7 (87.5)
GastrectomyNone106 (86.2)17 (73.9)0.311
Subtotal Gastrectomy2 (1.6)1 (4.3)
Total Gastrectomy15 (12.2)5 (21.7)
Colon ResectionNone83 (67.5)13 (56.5)0.309
Present40 (32.5)10 (43.5)
Total ColectomyNone110 (89.4)20 (87.0)0.727
Present13 (10.6)3 (13.0)
Right HCNone103 (83.7)18 (78.2)0.522
Present20 (16.3)5 (21.8)
Left HCNone116 (95.1)20 (90.9)0.432
Present6 (4.9)2 (9.1)
Subtotal ColectomyNone122 (99.2)23 (100.0)0.664
Present1 (0.8)0 (0.0)
Liver MetastasectomyNone116 (94.3)21 (91.3)0.582
Present7 (5.7)2 (8.7)
Glisson Capsule Resection None100 (81.3)20 (87.0)0.515
Present23 (18.7)3 (13.0)
Distal PancreatectomyNone119 (96.7)23 (100.0)0.381
Present4 (3.3)0 (0.0)
Ostomy FormationNone87 (70.7)12 (52.2)0.014 *
Ileostomy30 (24.4)5 (21.7)
Colostomy6 (4.9)6 (26.1)
Rectosigmoid ResectionNone84 (68.3)12 (52.2)0.135
Present39 (31.7)11 (47.8)
Small Intestine ResectionNone100 (81.3)17 (73.9)0.415
Present23 (18.7)6 (26.1)
PCI<680 (65.0)12 (52.2)0.241
≥643 (35.0)11 (47.8)
ComplicationMinor 93 (75.6)16 (69.6)0.541
Major30 (24.4)7 (30.4)
CCS0115 (93.4)21 (91.3)0.703
18 (6.6)2 (8.7)
ReoperationNone113 (91.9)19 (82.6)0.166
Present10 (8.1)4 (17.4)
NephrotoxicityNone110 (89.4)18 (78.3)0.135
Present13 (10.6)5 (21.7)
HepatotoxicityNone108 (87.8)20 (87.0)0.91
Present15 (12.2)3 (13.0)
NeutropeniaNone122 (99.2)23 (100.0)0.664
Present1 (0.8)0 (0.0)
PneumothoraxNone120 (97.6)22 (95.7)0.607
Present3 (2.4)1 (4.3)
Pleural EffusionNone111 (90.2)18 (78.3)0.1
Present12 (9.8)5 (21.7)
Anastomosis Leakage 2None93 (97.9)16 (88.9)0.058
Present2 (2.1)2 (11.1)
Chylous FistulaNone113 (91.9)22 (95.7)0.528
Present10 (8.1)1 (4.3)
Intestinal FistulaNone121 (98.4)21 (91.3)0.057
Present2 (1.6)2 (8.7)
Pancreatic FistulaNone117 (95.1)20 (87.0)0.135
Present6 (4.9)3 (13.0)
Biliary Tract FistulaNone122 (99.2)23 (100.0)0.664
Present1 (0.8)0 (0.0)
Ostomy Necrosis 3None36 (100.0)10 (90.9)0.067
Present0 (0.0)1 (9.1)
Postoperative IleusNone117 (95.1)21 (91.3)0.46
Present6 (4.9)2 (8.7)
CellulitisNone122 (99.2)21 (91.3)0.014 *
Present1 (0.8)2 (8.7)
EncephalopathyNone123 (100.0)21 (91.3)0.001 *
Present0 (0.0)2 (8.7)
ParaplegiaNone123 (100.0)22 (95.7)0.020 *
Present0 (0.0)1 (4.3)
PneumoniaNone115 (93.5)19 (82.6)0.081
Present8 (6.5)4 (17.4)
Bleeding None115 (93.5)21 (91.3)0.206
Medical Treatment3 (2.4)2 (8.7)
Surgical Treatment5 (4.1)0 (0.0)
ArrhythmiaNone120 (97.6)22 (95.7)0.607
Present3 (2.4)1 (4.3)
Rectovaginal Fistula 1None65 (98.4)11 (100.0)0.681
Present1 (1.6)0 (0.0) 0 (0.0)
SSINone88 (71.5)13 (56.5)0.152
Present35 (28.5)10 (43.5)
Median (IQR)Median (IQR)p
AgeYears56.00 (48.00–62.00)57.00 (44.00–64.00)0.593
BMIkg/m226.64 (24.22–30.47)28.11 (25.39–31.51)0.769
Operation DurationHours6.00 (5.00–9.00)8.25 (6.00–11.50)0.030 *
Hospitalization DurationDays10.00 (7.00–13.00)13.00 (9.00–22.00)0.015 *
PCIScore3 (2–5)5 (3–14)0.019 *
Mean ± sdMean ± sdp Γ
Albumin TransfusionPer Vial0.07 ± 0.030.45 ± 0.090.045 *
PRBC TransfusionUnit0.71 ± 0.131.82 ± 0.280.462
FFP Transfusion Unit1.03 ± 0.151.43 ± 0.330.111
1 Only female patients included. 2 Patients who underwent gastrointestinal anastomosis during surgery were included. 3 Patients who underwent ileostomy or colostomy during surgery were included. CAD: Coronary artery disease; COPD: Chronic obstructive pulmonary disease; HIPEC: hyperthermic intraperitoneal chemotherapy, TAHBSO: Total Abdominal Hysterectomy and Bilateral Salpingo-Oophorectomy; HC: Hemicolectomy; PCI: Peritoneal Cancer Index; CCS: Complete Cytoreduction Score, BMI: Body Mass Index, PRBC: Packed Red Blood Cells; FFP: Fresh Frozen Plasma; SSI: Surgical Site Infection; * p < 0.05, † Chi-squared test, ‡ Mann–Whitney U test, Γ Independent Samples t Test.
Table 3. Clinicopathologic Variables Compared Based on Recurrence.
Table 3. Clinicopathologic Variables Compared Based on Recurrence.
Disease-Free Survival
Recurrence (n = 101)Non-Recurrence (n = 45)p
n (%)n (%)
Gender Female58 (57.4)21 (46.7)0.228
Male43 (42.6)24 (53.3)
DiagnosisColorectal Cancer54 (53.5)22 (48.9)0.787
Gastric Cancer11 (10.9)8 (17.8)
Ovary Cancer12 (10.9)6 (13.3)
Pseudomyxoma Peritonei18 (17.8)6 (13.3)
Malignant Mesothelioma6 (5.9)3 (6.7)
Diabetes None86 (85.1)39 (86.7)0.809
Present15 (14.9)6 (13.3)
CADNone97 (96.0)43 (95.6)0.892
Present4 (4.0)2 (4.4)
Smoking None95 (94.1)37 (82.2)0.025 *
Present6 (5.9)8 (17.8)
COPD or Asthma None98 (97.0)43 (95.6)0.651
Present3 (3.0)2 (4.4)
HypothyroidismNone97 (96.0)43 (95.6)0.892
Present4 (4.0)2 (4.4)
Hypertension None73 (72.3)37 (82.2)0.198
Present28 (27.7)8 (17.8)
Radiotherapy HistoryNone95 (95.0)44 (97.8)0.437
Present5 (5.0)1 (2.2)
Chemotherapy HistoryNone36 (35.6)11 (24.4)0.181
Present65 (64.4)34 (75.6)
Peroperative ComplicationNone99 (98.0)42 (93.3)0.391
Ureter Injury1 (1.0)1 (2.2)
Diaphragma Injury1 (1.0)1 (2.2)
Bladder Injury0 (0.0)1 (2.2)
Peroperative Colonic or Small Intestine ResectionNone2 (2.0)0 (0.0)0.342
Present99 (98.0)45 (100.0)
PeritonectomyNone52 (51.5)31 (68.9)0.022 *
Present49 (48.5) 14 (31.1)
TAHBSO 1None17 (47.2)6 (35.3) 0.413
Present19 (52.8)11 (64.7)
GastrectomyNone90 (89.1)33 (73.3)0.046*
Subtotal Gastrectomy1 (1.0)2 (4.4)
Total Gastrectomy10 (9.9)10 (22.2)
Colon ResectionNone71 (70.3)25 (55.6)0.083
Present30 (29.7)20 (44.4)
SplenectomyNone71 (70.3)24 (53.3)0.047 *
Present30 (29.7)21 (46.7)
Total ColectomyNone96 (95.0)34 (75.6)<0.001 ***
Present5 (5.0)11 (24.4)
Right HCNone81 (80.2)40 (88.9)0.198
Present20 (19.8)5 (11.1)
Left HCNone97 (96.0)41 (91.1)0.227
Present4 (4.0)4 (8.9)
Subtotal ColectomyNone100 (99.0)45 (100.0)0.503
Present1 (1.0)0 (0.0)
Glisson Capsule Resection None86 (85.1)34 (75.6)0.162
Present15 (14.9)11 (24.4)
Liver MetastasectomyNone94 (93.1)43 (95.6)0.564
Present7 (6.9)2 (4.4)
Distal PancreatectomyNone97 (96.0)45 (100.0)0.176
Present4 (4.0)0 (0.0)
Ostomy FormationNone75 (74.3)24 (53.3)0.042 *
Ileostomy21 (20.8)14 (31.1)
Colostomy5 (5.0)6 (13.3)
Rectosigmoid ResectionNone71 (70.3)25 (55.6)0.083
Present30 (29.7)20 (44.4)
Small Intestine ResectionNone81 (80.2)36 (80.0)0.978
Present20 (19.8)9 (20.0)
HIPEC RegimenOxaliplatin Based79 (77.4)32 (71.1)0.353
Cisplatin Based23 (22.6)13 (28.9)
CCS097390.038 *
146
ComplicationMinor27 (26.7) 74 (73.3)10 (22.2) 35 (77.8)0.563
Major74 (73.3) 27 (26.7)35 (77.8) 10 (22.2)
ReoperationNone90 (89.1)42 (93.3)0.423
Present11 (10.9)3 (6.7)
NephrotoxicityNone91 (90.1)37 (82.2)0.181
Present10 (9.9)8 (17.8)
HepatotoxicityNone92 (91.1)36 (80.0)0.06
Present9 (8.9)9 (20.0)
NeutropeniaNone100 (99.0)45 (100.0)0.503
Present1 (1.0)0 (0.0)
PneumothoraxNone98 (97.0)44 (97.8)0.798
Present3 (3.0)1 (2.2)
Pleural EffusionNone91 (90.1)38 (84.4)0.325
Present10 (9.9)7 (15.6)
Anastomosis Leakage 2None77 (97.5)32 (94.1)0.377
Present2 (2.5)2 (5.9)
Chylous FistulaNone95 (94.1)40 (88.9)0.274
Present6 (5.9)5 (11.1)
Intestinal FistulaNone99 (98.0)43 (95.6)0.4
Present2 (2.0)2 (4.4)
Pancreatic FistulaNone96 (95.0)41 (91.1)0.361
Present5 (5.0)4 (8.9)
Biliary Tract FistulaNone100 (99.0)45 (100.0)0.503
Present1 (1.0)0 (0.0)
Ostomy Necrosis 3None27 (100.0)19 (95.0)0.24
Present0 (0.0)1 (5.0)
Postoperative IleusNone95 (94.1)43 (95.6)0.714
Present6 (5.9)2 (4.4)
CellulitisNone100 (99.0)43 (95.6)0.174
Present1 (1.0)2 (4.4)
EncephalopathyNone101 (100.0)43 (95.6)0.033 *
Present0 (0.0)2 (4.4)
ParaplegiaNone100 (99.0)45 (100.0)0.503
Present1 (1.0)0 (0.0)
PneumoniaNone91 (90.1)43 (95.6)0.268
Present10 (9.9)2 (4.4)
Bleeding None93 (92.1)43 (95.6)0.291
Medical Treatment3 (3.0)2 (4.4)
Surgical Treatment5 (5.0)0 (0.0)
ArrhythmiaNone100 (99.0)42 (93.3)0.052
Present1 (1.0)3 (6.7)
Rectovaginal Fistula 1None55 (98.3)21 (100.0)0.538
Present1 (1.7)0 (0.0)
SSINone72 (71.3)29 (64.4)0.408
Present29 (28.7)16 (35.6)
Median (IQR)Median (IQR)p
AgeYears56 (48–63)55 (44–59)0.363
BMIkg/m226.64 (23.88–30.74)27.48 (24.76–30.42)0.715
Operation DurationHours6.00 (5.00–8.00)8.25 (6.00–12.00)<0.001 ***
Hospitalization DurationDays9.00 (7.00–13.00)12.00 (9.00–15.00)0.002 **
PCIScore5 (3–12)3 (2–5)0.002 **
Mean ± sdMean ± sdp Γ
Albumin TransfusionPer Vial0.40 ± 0.080.12 ± 0.04<0.001 ***
PRBC TransfusionUnit1.31 ± 0.220.61 ± 0.110.008 **
FFP Transfusion Unit2.04 ± 0.300.67 ± 0.120.002 **
1 Only female patients included. 2 Patients who underwent gastrointestinal anastomosis during surgery were included. 3 Patients who underwent ileostomy or colostomy during surgery were included. CAD: Coronary artery disease; COPD: Chronic obstructive pulmonary disease; HIPEC: hyperthermic intraperitoneal chemotherapy, TAHBSO: Total Abdominal Hysterectomy and Bilateral Salpingo-Oophorectomy; HC: Hemicolectomy; PCI: Peritoneal Cancer Index; CCS: Complete Cytoreduction Score, BMI: Body Mass Index, PRBC: Packed Red Blood Cells; FFP: Fresh Frozen Plasma; SSI: Surgical Site Infection; * p < 0.05, ** p < 0.01, *** p < 0.001, † Chi-squared test, ‡ Mann–Whitney U test, Γ: Independent Samples t Test.
Table 4. Cox regression analyses of parameters associated with overall survival.
Table 4. Cox regression analyses of parameters associated with overall survival.
Variables UnivariateMultivariate
pOR [95% CI]pOR [95% CI]
Age 0.7191.007 (0.968–1.048)--
Gender 0.5111.349 (0.553–3.291)--
BMI 0.4261.038 (0.947–1.138)--
DiagnosisColorectal Cancer0.57-0.345-
Gastric Cancer0.2142.044 (0.662–6.314)0.1203.253 (0.737–14.368)
Ovary Cancer0.4630.554 (0.114–2.688)0.3980.419 (0.056–3.144)
PSP0.998NE *0.997NE *
MM0.5610.554 (0.064–5.792)0.4980.437 (0.040–4.788)
SplenectomyNone0.117-0.121-
Iatrogenic0.9990.0000.999NE *
Peritoneal Implant0.0203.679 [1.224–11.060]0.0604.505 (0.939–21.620)
Hilar Invasion0.8790.901 [0.235–3.454]0.3690.448 (0.078–2.582)
Nephrotoxicity 0.1442.350 (0.748–7.390)--
Hepatotoxicity 0.9101.080 (0.286–4.076)--
Pneumothorax 0.6121.818 (0.181–18.287)--
Pleural Effusion 0.1102.569 (0.809–8.164)--
Pancreatic Fistula 0.1512.925 (0.676–12.656)--
HIPEC Drug Regimen 0.7961.144 (0.413–3.171)--
Hospitalization, days 0.0081.055 (1.014–1.098)0.030 **1.058 (1.005–1.112)
CCS 0.7041.369 (0.272–6.903)0.1660.167 (0.013–2.103)
PCI, Score 0.0931.052 (0.992–1.116)0.006 **1.150 (1.041–1.270)
* NE: Not estimable due to zero or very few events in this category. OR: Odds ratio, 95% CI = 95% Confidence Interval for the Odds Ratio, BMI: Body Mass Index, CCS: Complete Cytoreduction Score PCI: Peritoneal Carcinomatosis Index, PSP: Psudomyxoma Peritoneii, MM: Malignant Mesothelioma. ** p < 0.01
Table 5. Cox regression analyses of parameters associated with disease-free survival.
Table 5. Cox regression analyses of parameters associated with disease-free survival.
Variables UnivariateMultivariate
pOR [95% CI]pOR [95% CI]
Age 0.4850.989 (0.960–1.020)--
Gender 0.231.542 (0.761–3.123) --
BMI 0.7621.012 (0.939–1.089)--
DiagnosisColorectal Cancer0.792-0.163-
Gastric Cancer0.2731.785 (0.633–5.035)0.0883.081 (0.845–11.230)
Ovary Cancer0.7151.227 (0.409–3.680)0.6250.688 (0.153–3.086)
PSP0.7080.818 (0.287–2.335)0.1170.255 (0.046–1.409)
MM0.7851.227 (0.282–5.348)0.5860.879 (0.081–4.147)
SplenectomyNone<0.001-<0.001-
Iatrogenic0.4310.423 (0.049–3.613)0.120.133 (0.011–1.690)
Peritoneal Implant<0.00125.146 [5.410–116.886]0.00117.814 (3.025–104.894)
Hilar Invasion0.1920.423 [0.116–1.543]0.0210.136 (0.025–0.736)
Nephrotoxicity 0.1871.968 (0.720–5.376)--
Hepatotoxicity 0.0662.556 (0.939–6.954)--
Pneumothorax 0.7990.742 (0.075–7.338)--
Pleural Effusion 0.3291.676 (0.594–4.730)--
Pancreatic Fistula 0.3671.873 (0.479–7.333)--
HIPEC Drug Regimen 0.3541.459 (0.656–3.244)--
Hospitalization 0.2631.019 (0.986–1.052)--
CCS 0.0503.731 (0.998–13.946)0.7300.698 (0.090–5.402)
PCI, Score 0.0031.080 (1.027–1.136)<0.0011.166 (1.066–1.276)
OR: Odds ratio, 95% CI = 95% Confidence Interval for the Odds Ratio, BMI: Body Mass Index, CCS: Complete Cytoreduction Score, PCI: Peritoneal Carcinomatosis Index, PSP: Psudomyxoma Peritoneii, MM: Malignant Mesothelioma.
Table 6. Data table regarding Disease-Free and Overall Survival Times.
Table 6. Data table regarding Disease-Free and Overall Survival Times.
DFS Time (Months)Standard Error95% Confidence Interval
Splenectomy Present32.1353.256(25.754–38.517)
No Splenectomy35.4092.147(31.201–39.616)
General36.4982.032(32.515–40.481)
OS Time (months)Standard Error%95 Confidence Interval
Splenectomy Present42.6663.053(36.682–48.650)
No Splenectomy42.2222.207(37.897–46.547)
General43.6061.901(39.880–47.333)
DFS: Disease-Free Survival, OS: Overall Survival.
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MDPI and ACS Style

Ademoğlu, S.; Aydın, İ.C.; Sunar, A.O.; Özduman, M.Ö.; Duman, U.; Dinçer, M.; Polat, E.; Duman, M. The Effect of Splenectomy on Postoperative Morbidity and Survival in Patients with Peritoneal Carcinomatosis. J. Clin. Med. 2025, 14, 8223. https://doi.org/10.3390/jcm14228223

AMA Style

Ademoğlu S, Aydın İC, Sunar AO, Özduman MÖ, Duman U, Dinçer M, Polat E, Duman M. The Effect of Splenectomy on Postoperative Morbidity and Survival in Patients with Peritoneal Carcinomatosis. Journal of Clinical Medicine. 2025; 14(22):8223. https://doi.org/10.3390/jcm14228223

Chicago/Turabian Style

Ademoğlu, Serkan, İsa Caner Aydın, Ahmet Orhan Sunar, Mehmet Ömer Özduman, Uğur Duman, Mürşit Dinçer, Erdal Polat, and Mustafa Duman. 2025. "The Effect of Splenectomy on Postoperative Morbidity and Survival in Patients with Peritoneal Carcinomatosis" Journal of Clinical Medicine 14, no. 22: 8223. https://doi.org/10.3390/jcm14228223

APA Style

Ademoğlu, S., Aydın, İ. C., Sunar, A. O., Özduman, M. Ö., Duman, U., Dinçer, M., Polat, E., & Duman, M. (2025). The Effect of Splenectomy on Postoperative Morbidity and Survival in Patients with Peritoneal Carcinomatosis. Journal of Clinical Medicine, 14(22), 8223. https://doi.org/10.3390/jcm14228223

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