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Keywords = delta-SIRI

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14 pages, 653 KB  
Article
Role of Inflammatory and Coagulation Biomarkers in Distinguishing Placenta Accreta from Placenta Previa and Associated Hemorrhage
by Gülay Balkaş and Şevki Çelen
J. Clin. Med. 2025, 14(11), 3884; https://doi.org/10.3390/jcm14113884 - 31 May 2025
Cited by 4 | Viewed by 1456
Abstract
Objectives: This study aimed to differentiate patients with placenta accreta spectrum (PAS) from those with placenta previa (PP) and to assess the association between preoperative inflammatory and coagulation parameters and intraoperative blood loss. Methods: In this retrospective case-control study, 545 pregnant women were [...] Read more.
Objectives: This study aimed to differentiate patients with placenta accreta spectrum (PAS) from those with placenta previa (PP) and to assess the association between preoperative inflammatory and coagulation parameters and intraoperative blood loss. Methods: In this retrospective case-control study, 545 pregnant women were enrolled and divided into five groups: control (n = 251), PP (n = 246), PP with accreta (PPA, n = 18), PP with increta (PPI, n = 27), and PP with percreta (PPP, n = 33). Preoperative serum levels of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), delta neutrophil index (DNI), prothrombin time, fibrin degradation products (FDPs), D-dimer, and activated partial thromboplastin time (APTT) were analyzed. Results: The PPP group demonstrated significantly higher values of FDP, D-dimer, NLR, PLR, SII, SIRI, and DNI, and lower APTT values compared to the other groups (p < 0.001). For predicting PAS, SIRI and DNI showed the highest diagnostic performance, each achieving 100% sensitivity and specificity, with optimal cut-off values of 2.01 and 2.45, respectively. For predicting intraoperative blood loss ≥1000 mL, PLR and SIRI exhibited the highest diagnostic accuracy, with optimal cut-off values of 122.5 (sensitivity 76.6%; specificity 72.6%) and 2.25 (sensitivity 73.4%; specificity 74.1%), respectively. Conclusions: FDP, D-dimer, NLR, PLR, SII, SIRI, and DNI may serve as valuable biomarkers for differentiating PP from PAS, thereby enhancing preoperative risk assessment and guiding surgical planning to improve maternal outcomes. Additionally, PT, D-dimer, FDP, NLR, and DNI were identified as significant independent predictors of intraoperative blood loss. Full article
(This article belongs to the Section Obstetrics & Gynecology)
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18 pages, 7141 KB  
Article
The Predictive Value of Perioperative Inflammatory Indexes in Major Arterial Surgical Revascularization from Leriche Syndrome
by Anca Drăgan, Adrian Ştefan Drăgan and Ovidiu Ştiru
J. Clin. Med. 2024, 13(21), 6338; https://doi.org/10.3390/jcm13216338 - 23 Oct 2024
Cited by 2 | Viewed by 1406
Abstract
Objectives: The role of inflammation in the pathophysiology of atherosclerosis is extensive. Our study aims to assess the predictive role of inflammatory indexes regarding in-hospital mortality in major vascular surgery of Leriche syndrome as a convenient, low-cost, and noninvasive prognostic marker to optimize [...] Read more.
Objectives: The role of inflammation in the pathophysiology of atherosclerosis is extensive. Our study aims to assess the predictive role of inflammatory indexes regarding in-hospital mortality in major vascular surgery of Leriche syndrome as a convenient, low-cost, and noninvasive prognostic marker to optimize the patient’s perioperative course. Methods: Our retrospective single-center study enrolled consecutive patients diagnosed with aortoiliac occlusive disease, Leriche syndrome, who underwent elective major vascular surgery between 2017 and 2023 in a tertiary cardiovascular center. Preoperative, postoperative, and day-one after-surgery data, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio, and monocyte–lymphocyte ratio, were studied to the endpoint, in-hospital death. We also tested the delta values of the indexes to the endpoint. The indexes were compared to the Revised Cardiac Risk Index (RCRI) and Vascular Surgery Group Cardiac Risk Index (VSG-CRI) for outcome prediction. Results: The tested inflammatory indexes significantly increased from the preoperative to postoperative and, further, to the day-one settings. Preoperative AISI (p = 0.040) emerged as the only independent risk factor regarding in-hospital death occurrence in Leriche patients who underwent major revascularization surgery. While RCRI did not significantly predict the endpoint (AUC = 0.698, p = 0.057), VSG-CRI (AUC = 0.864, p = 0.001) presented the best result in ROC analysis. Postoperative NLR (AUC = 0.758, p = 0.006) was next, followed by NLR postoperative–preoperative (_Preop-_Postop) delta value (AUC = 0.725, p = 0.004), postoperative SIRI (AUC = 0.716, p = 0.016), SIRI_Preop-_Postop delta value (AUC = 0.712, p = 0.016), postoperative SII (AUC = 0.692, p = 0.032), and SII_Preop-_Postop delta value (AUC = 0.631, p = 0.030). Conclusions: Inflammatory indexes are valuable tools for assessing perioperative risk in major vascular surgery, enhancing the value of the already validated risk scores. Full article
(This article belongs to the Section Vascular Medicine)
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10 pages, 1235 KB  
Article
Systemic Inflammation Response Index (SIRI) and Monocyte-to-Lymphocyte Ratio (MLR) Are Predictors of Good Outcomes in Surgical Treatment of Periprosthetic Joint Infections of Lower Limbs: A Single-Center Retrospective Analysis
by Raffaele Vitiello, Alessandro Smimmo, Elena Matteini, Giulia Micheli, Massimo Fantoni, Antonio Ziranu, Giulio Maccauro and Francesco Taccari
Healthcare 2024, 12(9), 867; https://doi.org/10.3390/healthcare12090867 - 23 Apr 2024
Cited by 10 | Viewed by 2711
Abstract
Background: Periprosthetic joint infection (PJI) is a devastating complication that develops after total joint arthroplasty (TJA), whose incidence is expected to increase over the years. Traditionally, surgical treatment of PJI has been based on algorithms, where early infections are preferably treated with debridement, [...] Read more.
Background: Periprosthetic joint infection (PJI) is a devastating complication that develops after total joint arthroplasty (TJA), whose incidence is expected to increase over the years. Traditionally, surgical treatment of PJI has been based on algorithms, where early infections are preferably treated with debridement, antibiotics, and implant retention (DAIR) and late infections with two-stage revision surgery. Two-stage revision is considered the “gold standard” for treatment of chronic prosthetic joint infection (PJI) as it enables local delivery of antibiotics, maintenance of limb-length and mobility, and easier reimplantation. Many studies have attempted to identify potential predicting factors for early diagnosis of PJI, but its management remains challenging. In this observational retrospective study, we investigated the potential role of inflammatory blood markers (neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory index (SII), systemic inflammatory response index (SIRI), and aggregate index of systemic inflammation (AISI)) as prognostic factors in two-stage exchange arthroplasty for PJI. Methods: A single-center retrospective analysis was conducted, collecting clinical data and laboratory parameters from patients submitted to prosthetic explantation (EP) for chronic PJI. Laboratory parameters (PCR, NLR, MLR, PLR, SIRI, SII, and AISI) were evaluated at the explantation time; at 4, 6, and 8 weeks after surgery; and at reimplantation time. The correlation between laboratory parameters and surgery success was evaluated and defined as infection absence/resolution at the last follow-up. Results: A total of 57 patients with PJI were evaluated (62% males; average age 70 years, SD 12.14). Fifty-three patients with chronic PJI were included. Nine patients underwent DAIR revision surgery and chronic suppressive therapy; two patients died. Nineteen patients completed the two-stage revision process (prosthetic removal, spacer placement, and subsequent replanting). Among them, none showed signs of reinfection or persistence of infection at the last available follow-up. The other twenty-three patients did not replant due to persistent infection: among them, some (the most) underwent spacer retention; others (fewer in number) were submitted to resection arthroplasty and arthrodesis (Girdlestone technique) or chronic suppressive antibiotic therapy; the remaining were, over time, lost to follow-up. Of the patients who concluded the two-stage revision, the ones with high SIRI values (mean 3.08 SD 1.7 and p-value 0.04) and MLR values (mean 0.4 SD 0.2 and p-value 0.02) at the explantation time were associated with a higher probability of infection resolution. Moreover, higher variation in the SIRI and PCR, also defined, respectively, as delta-SIRI (mean −2.3 SD 1.8 and p-value 0.03) and delta-PCR (mean −46 SD 35.7 and p-value 0.03), were associated with favorable outcomes. Conclusions: The results of our study suggest that, in patients with PJI undergoing EP, the SIRI and MLR values and delta-SIRI and delta-PCR values could be predictive of a favorable outcome. The evaluation of these laboratory indices, especially their determination at 4 weeks after removal, could therefore help to determine which patients could be successfully replanted and to identify the best time to replant. More studies analyzing a wider cohort of patients with chronic PJI are needed to validate the promising results of this study. Full article
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