Elderly Patients Managed Non-Operatively with Abscesses of the Anorectal Region Have Five Times Higher Rate of Mortality Compared to Non-Elderly
1
School of Medicine, New York Medical College, Valhalla, NY 10595, USA
2
Westchester Medical Center, Valhalla, NY 10595, USA
3
Department of Surgery, College of Medicine-Tucson, University of Arizona, Tucson, AZ 85721, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(7), 5387; https://doi.org/10.3390/ijerph20075387
Submission received: 2 January 2023
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Revised: 27 February 2023
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Accepted: 17 March 2023
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Published: 4 April 2023
(This article belongs to the Special Issue Hospital Length of Stay and Health Outcomes)
Abstract
:This study’s purpose was to investigate risk factors for mortality from anorectal abscesses through a more comprehensive examination. This was a retrospective study that evaluated National Inpatient Sample patient data of adult and elderly patients emergently admitted with a primary diagnosis of anorectal abscess. Data was stratified by variables of interest and examined through statistical analysis, including backward logistic regression modelling. Roughly 40,000 adult patients and nearly 7000 elderly patients were admitted emergently with a primary diagnosis of abscess in anorectal regions. The mean age of adult male patients was 43 years while elderly male patients were, on average, 73 years old. Both adult males (69.0%) and elderly males (63.9%) were more frequently seen in the hospital for anorectal abscess compared to females. Mortality rates were lower in adult patients as only 0.2% (n = 62) of adult patients and 1.0% (n = 73) of elderly patients died in the hospital. Age increased the odds of mortality (OR = 1.03; 95% CI: 1.02–1.04, p < 0.001) as did hospital length of stay (OR = 1.02; 95% CI: 1.01–1.03, p < 0.001). Surgical procedure decreased the odds of mortality by more than 50% (OR = 0.49; 95% CI: 0.33–0.71, p < 0.001). Risk factors for mortality from anorectal abscess included age and non-operative management, which leads to prolonged hospital length of stay. Surgical management of anorectal abscesses offered protective benefits.
1. Introduction
Abscesses of the perirectal region are common causes for surgical consultation that often require invasive procedures [1]. Anorectal abscesses are known to be infections of the anal gland which spread into proximal locales and may often result in fistulas. These fistulas can be problematic and result in incontinence or even cancer if long-lasting [2]. Additionally, although rare, anorectal abscesses that do not resolve with medications and other conservative treatments can sometimes in actuality be lymphomas [3]. The estimated incidence of anorectal abscess is roughly 16 to 20 for every 100,000 patients [4,5]. In the US, the incidence of anorectal abscess is estimated at roughly 68,000 to 96,000 patients per year [6,7]. In the UK, there are roughly 14,000 to 20,000 cases and 12,500 surgeries related to anorectal abscesses each year [8]. Fistulas are frequent following anorectal abscess treatment, with an incidence between 26–37% [2].
The etiology of anorectal abscesses consists of an infection of the anal gland. When the infection is between the internal sphincter and external sphincter, it is considered perianal; an infection located solely in the external sphincter is considered ischiorectal; an infection coming anteriorly through the rectal wall is an intermuscular abscess; an infection coming above through the levators is a supralevator abscess; and an infection located in the ischiorectal fossae is known as a horseshoe abscess [2]. Common risk factors for anorectal abscesses include male sex, smoking, diabetes, HIV, or other immunosuppressive circumstances that impede wound healing [9]. Interestingly, lower socioeconomic status was found to be associated with fistula formation after incision and drainage for the abscess [10]. Being able to properly diagnose and then subsequently classify the anorectal abscess is quite important, as finding the internal orifice of anorectal abscesses significantly decreases rates of recurrence of both fistulas and abscesses [11]. A correct early surgical treatment protocol and proper wound-care monitoring for abscesses after surgery is imperative not only for preventing recurrence, but also for preventing mortality. If the abscess is not diagnosed and corrected in a timely manner, the abscess can potentially lead to perianal sepsis or necrotizing soft tissue infection (NSTI) of the perineum and multiple organ system failure, requiring major operation and diversion of the fecal stream [9]. Early and aggressive surgical treatment of NSTI has been proven to be the most important factor in prognosis of these infections [12,13], which may have mortality rates approaching 50% [9]. Thus, clearly, a significant risk factor of mortality from anal abscess is delayed or improper treatment of the abscess. The other known major risk factors for mortality include an immunocompromised status, Crohn’s Disease, and advanced rectal cancer [9].
Recurrence rates and mortality rates increase significantly with delayed treatment even in a healthy population; this makes swift diagnosis, proper treatment, and careful monitoring imperative to help decrease the risks from anorectal abscess. The purpose of this study was to analyze patients who were admitted emergently to the hospital with a primary diagnosis of perirectal abscess. This was done on a large scale and over a 10-year period, with the goal to observe those patients’ characteristics and also their relationship to mortality. This paper’s research is especially important because, while there is copious research on risk factors leading to recurrence of anorectal abscess and fistula, there is a dearth of research exploring various risk factors for mortality in patients with anorectal abscesses.
2. Materials and Methods
This research made use of the National Inpatient Sample (NIS) databases. The database was created by AHRQ (the Agency for Healthcare Research and Quality), which has been frequently used nationally as a public data source for analysis of variegated types and qualities of patient care and their associated results. This has allowed us to perform a comprehensive and holistic path to research diseases, a path to the ideal way to treat and care for patients with those diseases, and ultimately a path to find how patients respond to both the diseases and treatments [13,14,15,16,17,18,19,20,21,22,23,24,25]. The NIS database includes certain weighting when constructing its sample of discharges and it excludes long-term acute care facilities and rehabilitation centers. These particular categorizations allowed the NIS database to parse out predictors of nation-wide hospitalizations. This paper consists of retrospective research encompassing patients with a primary diagnosis of an abscess in the anal or rectal region (ICD-9 code 566). These patients were emergently admitted from 2004 to 2014 (2005–2014 in the regression), and were part of the National Inpatient Sample database. The data were organized and subsequently examined in terms of age, with adults classified as ages 18–64 and elderly patients classified as ages 65 and older. The data was then further stratified into sex categories, patient mortality, and operation status (operation or no operation). The variables of interest were age, race (White, Black, Hispanic, Asian/Pacific Islander, or other), income quartile, insurance type (private, Medicare, Medicaid, self-pay, no-charge, or other), hospital location (rural, urban teaching, or urban non-teaching), comorbidity (AIDS, alcohol abuse, deficiency anemias, rheumatoid arthritis, chronic blood loss, CHF, chronic pulmonary disease, coagulopathy, depression, uncomplicated diabetes, chronic diabetes, drug abuse, hypertension, hypothyroidism, liver disease, lymphoma, fluid or electrolyte disorders, metastatic cancer, other neurological disorders, obesity, paralysis, peripheral vascular disorders, psychoses, pulmonary circulation disorders, renal failure, solid tumor, peptic ulcer, valvular disease, or weight loss), invasive diagnostic procedures, surgical procedures, medical or surgical complications, reoperation, deceased status, time to invasive diagnostic procedure, time to surgical procedure, hospital length of stay, and total charges in American dollars.
The modified frailty index in our study was scored from 0 to 5, with 5 being the frailest, and 0, not being frail. This modified frailty index included 5 variables: congestive heart failure, chronic obstructive pulmonary disease, hypertension, diabetes mellitus, and a patient’s functional status. The index was then calculated via summation of one point of the following disease histories. A history of diabetes was included in the index if patients had either diabetes with chronic complications or uncomplicated diabetes. Congestive heart failure was marked to be included in the index for a patient if that patient had this comorbidity. Patient history of hypertension was included if hypertension was a comorbidity for the respective patient. Patients were marked for having a history of COPD if chronic obstructive pulmonary disease was noted for that respective patient. The NIS data did not explicitly include ‘functional health status’, so it was extrapolated from other comorbidities in the data set; patients with tumors, metastatic cancer, kidney failure, coagulopathy, lymphoma, paralysis, or weight loss were assumed to have some level of dependence and were thus marked as functionally dependent.
Statistical Analysis
The data were organized into tables (Table 1, Table 2 and Table 3) in which the correlated number and percentage or mean and standard deviation were presented. These tables were then analyzed using the chi-squared test for categorical variables and a t-test for continuous variables. Risk factors for mortality were analyzed through backward elimination multivariable logistic regression analysis (Table 4). The risk factors were analyzed and presented as odds ratios with 95% confidence intervals, and p values below 0.05 were considered significant. Characteristics considered for adjustment in the model were age, surgical procedure, hospital length of stay in days, invasive procedure, respiratory diseases, cardiac diseases, liver diseases, genitourinary system diseases, platelet and white blood cell diseases, trauma, burns and poisons, neoplasms, and neurological diseases. Table 5 was analyzed in the same manner as Table 1, Table 2 and Table 3. We used SPSS version 24 (SPSS Inc., Chicago, IL, USA) and R software (Foundation of Statistical Computing, Vienna, Austria).
3. Results
3.1. Gender Differences
A total of 40,046 adult patients (age 18–64) were admitted emergently with a primary diagnosis of abscess in anal or rectal regions from 2004 to 2014. Of these, 27,646 (69.0%) were male while 12,400 (31.0%) were female, with a mean (SD) age of 43.05 (11.69) and 41.47 (12.28), respectively. On the other hand, there were 6982 elderly patients (age 65+) of which 4463 (63.9%) were male while 2519 (36.1%) were female, with a mean (SD) age of 73.42 (6.96) and 76.08 (8.11), respectively. For adults, most patients were White, funded by private insurance, and admitted to urban teaching hospitals. For elderly patients, most were White and largely funded by Medicare (Table 1).
Major comorbidities for adults included hypertension, uncomplicated diabetes, obesity, and fluid/electrolyte disorders. Adult males manifested higher rates of alcohol abuse, AIDS, drug abuse, liver disease, and paralysis, while adult females had higher rates of deficiency anemias due to chronic blood loss, rheumatoid arthritis, chronic pulmonary disease, depression, diabetes, hypothyroidism, fluid or electrolyte disorders, neurological disorders, obesity, and psychoses. Major comorbidities for elderly patients included hypertension, uncomplicated diabetes, fluid or electrolyte disorders, and deficiency anemias. Elderly males presented with higher rates of alcohol abuse, coagulopathy, lymphoma, metastatic cancer, and peripheral vascular disorders, while elderly females manifested higher rates of deficiency anemias, rheumatoid arthritis, depression, hypertension, hypothyroidism, fluid or electrolyte disorders, obesity, psychoses, and weight loss.
Adult females had longer hospital length of stay (HLOS), longer time to invasive diagnostic procedures, and longer time to surgical procedures than adult males. Adult females also were charged more money than adult males. Elderly females also had a longer HLOS than elderly males, but there was no significant difference between genders in terms of time to procedures and hospital charges. Elderly male patients had higher rates of surgical and invasive procedures than elderly female patients, but there was no significant gender difference in adult patients (Table 1).
3.2. Operative vs. Non-Operative Treatment
There were 34,137 (84.7%) adult patients admitted who underwent an operation in comparison to 6169 (15.3%) admitted adult patients who did not have an operation. A total of 5370 (76.9%) of the elderly patients underwent surgical procedure in comparison to 1616 (23.1%) elderly patients who did not have an operation (Table 2). For adults, the mean age of the group of patients who had an operation was 1.19 years younger than the group of patients who had no operation. For elderly patients, the mean age of the group of patients who had an operation was 1.40 years younger than the group of patients who had no operation (Table 2). For adults, in both the operative and non-operative groups, most patients were male, White, in income quartile 1, funded by private insurance, and admitted to urban teaching hospitals. For the elderly, in both the operative and non-operative groups, most patients were male, White, in income quartile 1, funded by Medicare, and admitted to urban non-teaching hospitals. In both adults and elderly patients, the mortality rate of operated patients was significantly lower than those managed non-operatively. For adults, those who had an operation had lower rates of incidence for most comorbidities. For elderly patients, there were fewer significant differences in comorbidity frequencies between those operated and not operated on; when there were significant differences, those who had an operation also had lower incidences of comorbidities, except for hypertension. Additionally, both adult and elderly patients who were operated on had higher rates of invasive diagnostic procedures, shorter hospital length of stay, and shorter time to invasive diagnostic procedure compared to those who did not have an operation. There was no significant difference in costs for adult patients regardless of whether they underwent operation, but among elderly patients, those who had an operation had higher total charges from hospitals than those who did not have an operation (Table 2).
3.3. Mortality and Age
Only 0.2% (n = 62) of adult patients died in the hospital, while 1.0% (n = 73) of elderly patients died in the hospital. Thus, the mortality rate in elderly patients was roughly five times the rate in nonelderly patients. While adult patients who survived as well as those who did not survive predominantly had private insurance, deceased patients were more likely to have used Medicare and Medicaid, while patients who survived were more likely to have used private insurance or self-pay (Table 3). Additionally, adult deceased patients had a larger percentage that were at urban teaching hospitals compared to those who survived. There was no significant difference between elderly patients who survived or died in terms of insurance or hospital location (Table 3). The deceased adults were roughly 9 years older than the adults that survived, while the deceased elderly patients were roughly 5 years older than the elderly patients who survived. The deceased elderly patients had a significantly longer time to invasive diagnostic and surgical procedure than those who survived; deceased adults had a significantly longer time to surgical procedure, but no significant difference in time to invasive diagnostic procedure compared to those adults who survived. Both deceased elderly and deceased adult patients had a longer hospital length of stay than their counterparts who survived: the elderly who died stayed over 6 days longer (on average) than those who survived, and adult patients who died stayed over 11 days longer (on average) than those who survived (Table 3). Similarly, total hospital charges were larger for both adult and elderly deceased patients than patients who survived.
There were also differences in terms of comorbidities exhibited by deceased patients and those who survived. For adults, those who died in the hospital were more likely to exhibit alcohol abuse, deficiency anemias, congestive heart failure, coagulopathy, hypertension, liver disease, lymphoma, fluid/electrolyte disorders, metastatic cancers, neurological disorders, peripheral vascular disorders, renal failure, and weight loss. For elderly patients who died in the hospital, they were more likely to present with congestive heart failure, chronic pulmonary disease, coagulopathy, fluid or electrolyte disorders, metastatic cancer, neurological disorders, peripheral vascular disorders, pulmonary circulation disorders, renal failure, and weight loss. This is similar to the study by Latifi et al. that demonstrated that presence of comorbid conditions such as alcohol abuse, peripheral vascular disease, diabetes, obesity, and hypothyroidism were associated with increased mortality in patients with NSTI, which is often associated with death in anorectal abscess patients [13].
Both elderly and adult deceased patients also exhibited higher rates of reoperation, medical or surgical complication diagnosis, and invasive diagnostic procedures; both elderly and adult patients who survived exhibited higher rates of surgical or invasive procedures. Elderly patients who survived had higher rates of uncomplicated diabetes (Table 3).
3.4. Risk Factors of Mortality
The backward logistic regression model, with mortality as the dependent variable, was created to assess associations of mortality and different risk factors for patients. Variables used to adjust the model included age, surgical procedure, invasive procedure, respiratory disease, cardiac disease, liver disease, genitourinary disease, platelet and white blood cell disease, trauma, burns and poisons, neoplasms, and neurological disease (Table 4). Management of patients through operation decreased the odds of mortality by 51%. Each additional year aged (in our patient sample of adults and elderly) increased the odds of mortality by 3%. Each additional day of hospital stay increased the odds of mortality by 2%. Having a surgery was a protective factor, however, as non-operative management doubled the odds of mortality. As we can see, trauma, burns, and poisons increased the odds of mortality more than 7-fold. Respiratory disease increased the odds of mortality more than 4-fold, and both cardiac and liver diseases increased the chances of mortality by greater than 3 times. Genitourinary system diseases increased the odds of mortality by 3 times. Platelet and white blood cell diseases more than doubled the odds of mortality. Neoplasms and neurological diseases increased the mortality odds by 93% and 70%, respectively (Table 4).
3.5. The Role of Lifestyle, Complications, Comorbidities and Secondary Diagnoses in Mortality
When comparing the lifestyle, complications, comorbidities, and secondary diagnoses of adult patients who were admitted emergently with a primary diagnosis of abscess of anal and rectal regions, differences were noted between those who survived and those who did not. Both deceased elderly and deceased adult patients had higher rates of bacterial infections other than tuberculosis, nonbacterial infections, anemia and, or hemorrhage, respiratory diseases, cardiac diseases, genitourinary system diseases, neurological diseases, fluid and electrolyte disorders, platelet and white blood cell diseases, and skin diseases, as well as trauma, burns, and poisoning. The deceased adults alone had higher rates of hypertension, peripheral vascular diseases, coagulopathy, cerebrovascular disease, liver diseases, endocrine diseases, and neoplasms, as well as alcohol abuse, withdrawal, or dependence (Table 5). Deceased elderly patients alone had higher rates of diabetes and tobacco use. Elderly patients who survived had higher rates of abnormal BMI (underweight, overweight, or obese) compared to those who died (Table 5).
4. Discussion
This study’s results demonstrate the differences in mortality rates between adult and elderly patients, along with the main risk factors for mortality in patients admitted emergently with a primary diagnosis of abscess in the anal and rectal regions.
4.1. Age as a Risk Factor
Age was seen to be a major risk factor as the mortality rate in elderly patients was more than five times that of adult patients. The association of increasing age with increasing death rates can possibly be attributed to intrinsic factors of aging and more specific anorectal abscess-related factors. In terms of aging, Rosenthal et al. found that the general odds of death in-hospital for all patients increases with each 5-year increase in age [26]. From the age groups of 40–44 to 80–84, the odds of mortality, independent of illness severity, increased from 1.51 to 3.86, respectively [26]. Additionally, between these two age groups, Rosenthal et al. found an increase of mortality in every 5 years of age [26]. Thus, from a broader scope, age is a risk factor for mortality in cases of anorectal abscess diagnosis.
A more specific potential cause of aging in mortality could possibly be due to advances of the disease process from an abscess to NSTI with perineum and retroperitoneal involvement. Increased age enhances the likelihood of these more deleterious types of abscesses in anal or rectal regions, which elevates the chance of mortality in patients [27,28,29]. These abscesses are relatively rarer compared to intraperitoneal abscesses and tend to have a delayed course of action, which leads to delayed diagnoses and improper drainage [9,29]. As aforementioned, delay in diagnosis and timely and complete drainage of abscesses increases risks related to necrotizing tissue [9,12]. Delayed treatment increases mortality in patients with other primary diseases such as hemorrhoids, duodenal ulcers, and ventral hernias [14,15,16]. Even with proper treatment, research has shown these retroperitoneal abscesses can result in an 11–20% mortality rate [28]. These rarer anorectal abscesses are very often seen in males and in the 6th decade of life, which could connect to the relative increase in death rates of elderly patients in this study [28]. Thus, age is a significant risk factor for mortality in patients with anorectal abscesses.
4.2. Interplay between HLOS and Operation Status
The next central finding in our study was that operative treatment was a protective factor against mortality, while prolonged hospital length of stay was a risk factor for mortality. In this study, however, those having an operation had a significantly shorter HLOS. Others have reported similar findings. Hsieh et al. found that, in anorectal abscess patients on dialysis, those who had surgery had better in-hospital survival [30]. They also note the possibility that those who received the more conservative non-surgical treatment potentially had more significant comorbidities [30]. Similarly, Dos-Santos et al. found that a predominant cause of death from anorectal abscess (Fournier’s Gangrene) is often associated with comorbidities and results in longer hospital length of stay and greater mortality rates [31].
In our study, it also was observed that patients that had an operation had lower rates of comorbidities compared to those who did not undergo an operation. Therefore, the higher rates of comorbidities in the non-surgical group of patients may have meant they were poor candidates for surgery, and also may have caused them to require a prolonged HLOS and consequently, increased mortality. From a surgical standpoint, irrespective of comorbidities, patients with an abscess need to be operated on as soon as possible, usually in the first 2–3 h, in order to prevent development of NSTI. Having co-morbidities should not be a contraindication for surgical intervention, and in fact should increase the awareness [13]. The common dictum that we should resuscitate patients with NSTI before operating is inappropriate and has deleterious effects. These patients need to be resuscitated simultaneously with surgical intervention and blood and blood products aggressively, and thus the need for resuscitation should not delay surgery. Further, Ramanujam et al. state that more aggressive surgical procedures in abscess treatment reduces complications and the need for further surgery [32]. The reduction in complications and reduced need for further surgery is in line with the aforementioned notion that delayed or improper treatment of abscesses results in worsened outcomes. Lower complication rates may then partially explain both the lowered HLOS and mortality found in the operated group.
Longer hospital length of stay has been shown to be detrimental in many diverse conditions [14,15,16,17,18,19,20,21,22,23,24,25,30,33,34]. Interestingly, for patients with ruptured abdominal aortic aneurysm, longer hospital length of stay was inversely correlated with mortality and thus improved outcomes [35]. In elderly patients with colon cancer that were emergently admitted, there was a non-linear, U-shaped association with HLOS and mortality [36]. Similarly, in patients admitted emergently for C. Difficile colitis, hospital length of stay had a J-shaped association with mortality in non-elderly patients and a V-shaped association in elderly patients [37]. In elderly patients with an emergent admission for phlebitis and thrombophlebitis, the association between mortality and HLOS was V-shaped [38]. In patients with acute pancreatitis, HLOS and mortality had a V-shaped association [39].
4.2.1. Other Risk Factors
The other main risk factors of mortality included various pre-existing diseases (specifically respiratory, cardiac, liver, genitourinary, platelet and white blood cell, as well as trauma, burns and poisons, neoplasms, and neurological diseases). Anorectal abscesses can also result in fistulas that lead to NSTI, significantly increasing odds of death [40]. Diabetes is a common comorbidity resulting in mortality by contributing to the development of NSTI [41]. Developing necrotic tissue is often associated with comorbidities that negatively impact one’s immune system, with alcoholism, HIV, and leukemia being the most common contributors [42]; necrotizing perineal infection is uncommon but associated with high mortality in those who are immunocompromised or have diabetes [43]. There is limited research on risk factors associated with perirectal abscess mortality, as most studies on mortality are limited to case studies or studies with low sample sizes. Despite limited research on risk factors for mortality, there is a multitude of research in terms of risk factors for recurrence of perirectal abscess. Akkapulu et al. demonstrate no association between recurrence of abscess and sex, age, and hospital length of stay [44]. Additionally, diabetes and obesity were connected to a significant increase in patients developing anorectal abscesses, but they were not significant in readmission to the hospital for anorectal abscess [4]. Sigmon et al. also mention that common risk factors include smoking and diabetes, along with immunosuppressive drugs and HIV [9].
Because of the aforementioned lack of research into risk factors for mortality from anorectal abscess, this paper is important in its role in addressing some gaps in our understanding. Future research should hopefully explore other pertinent risk factors and attempt to determine the exact mechanism of death by each significant risk factor.
4.2.2. Gender and Abscess Likelihood
Our study showed that there were gender differences in admission to the hospital for patients with a primary diagnosis of peri-anal abscess. For both adult and elderly patients, men were more commonly admitted for peri-anal abscess, which has also been copiously supported by the literature. According to Read et al., males are 1.76 times more likely to have a peri-anal abscess than females [45], while Sigmon et al. reported that males are roughly twice as likely to develop these abscesses as females [9]. Additionally, Sahnan et al. also show a roughly 2:1 male-to-female ratio in abscess frequency [8]. This may be explained by the fact that there are significantly more anal glands in males than females [46].
4.2.3. Differences in Total Hospital Charges
Both adult and elderly females had longer hospital length of stay than males of their respective age. Interestingly, however, adult females had higher charges compared to adult males while elderly females had no significant difference in charges when compared to elderly males. Owens states that, when analyzing healthcare cost disparities of men and women in different segmental ages (0–18, 18–44, 45–64, and >64), adult females and males aged 45–64 have the largest gap, while those older than 64 have the lowest gap. He attributes this difference to health burdens (osteoporosis, CVD, breast cancer, etc.) due to menopause-associated conditions [47]. Assaf et al. also note that there is a burden of increased healthcare costs related to managing menopausal symptoms, particularly in females aged 45–64 [48]. Thus, complications associated with menopause may have resulted in greater hospital charges in adult women.
4.2.4. Strength of the Study
This study’s strength lies in its patient sample. The patient population is substantial in number and includes a wide array of different hospital types and geographic locations. These aspects of the sample allow generalizability to many different clinical settings across the nation, while also allowing this study to analyze how different hospital characteristics, patient demographics, and patient idiosyncrasies interplay in anorectal abscesses. These strengths allow for future investigations.
4.2.5. Limitations of the Study
This study lacks specifications of abscess location, size, severity, procedure approach, and experience of the provider. Additionally, this study is retrospective: this naturally limits our ability for a cause-and-effect analysis and makes the study prone to bias. Further research on cause of death due to anorectal abscess and case complexity are necessary, especially due to the limited research on anorectal-abscess-associated mortality. An additional limitation is that the NIS database uses ICD codes, which may provide inaccurate disease classifications and restrict potential conclusions. Thus, this paper’s ‘Other risk factors’ section must be qualified in that our ability to interpret interplay with comorbidities may be limited.
5. Conclusions
The odds of mortality from anorectal abscesses increased in emergently admitted patients who had non-operative management, preexisting disease, older age, and extended hospital stays.
Author Contributions
Conceptualization, A.S. and R.L.; methodology, A.S. and R.L.; software, A.S.; validation, A.S. and R.L.; formal analysis, A.S.; investigation, A.L.; resources, R.L.; data curation, A.S.; writing—original draft preparation, A.L.; writing—review and editing, A.S. and R.L.; visualization, A.S. and A.L.; supervision, A.S. and R.L.; project administration, R.L.; funding acquisition, Not Applicable. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of New York Medical College (protocol code 14177, approved in June 2019).
Data Availability Statement
Data will be available upon request.
Acknowledgments
We thank Jonathan Butler for his help in statistical analysis.
Conflicts of Interest
The authors of this paper declare no conflict of interest.
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Table 1.
Characteristics of emergently admitted patients with the primary diagnosis of abscess of anal/rectal regions. Data are stratified according to sex categories, NIS 2004–2014.
Table 1.
Characteristics of emergently admitted patients with the primary diagnosis of abscess of anal/rectal regions. Data are stratified according to sex categories, NIS 2004–2014.
| Adult, N (%) | Elderly, N (%) | ||||||
|---|---|---|---|---|---|---|---|
| Male | Female | p | Male | Female | p | ||
| All Cases | 27,646 (69.0%) | 12,400 (31.0%) | 4463 (63.9%) | 2519 (36.1%) | |||
| Race | White | 12,232 (51.4%) | 5964 (56.4%) | <0.001 | 2680 (69.9%) | 1593 (75.3%) | <0.001 |
| Black | 5340 (22.5%) | 2694 (25.5%) | 492 (12.8%) | 286 (13.5%) | |||
| Hispanic | 4357 (18.3%) | 1321 (12.5%) | 429 (11.2%) | 159 (7.5%) | |||
| Asian/Pacific Islander | 644 (2.7%) | 205 (1.9%) | 93 (2.4%) | 33 (1.6%) | |||
| Native American | 191 (0.8%) | 81 (0.8%) | 21 (0.5%) | 11 (0.5%) | |||
| Other | 1012 (4.3%) | 311 (2.9%) | 120 (3.1%) | 34 (1.6%) | |||
| Income Quartile | Quartile 1 | 8906 (33.3%) | 4168 (34.5%) | <0.001 | 1306 (29.9%) | 729 (29.6%) | <0.001 |
| Quartile 2 | 6796 (25.4%) | 3116 (25.8%) | 1124 (25.7%) | 680 (27.6%) | |||
| Quartile 3 | 6135 (22.9%) | 2657 (22%) | 1057 (24.2%) | 575 (23.3%) | |||
| Quartile 4 | 4943 (18.5%) | 2123 (17.6%) | 881 (20.2%) | 481 (19.5%) | |||
| Insurance | Private Insurance | 12,619 (45.8%) | 5563 (45%) | 0.011 | 520 (11.7%) | 196 (7.8%) | 0.670 |
| Medicare | 2834 (10.3%) | 1298 (10.5%) | 3776 (84.7%) | 2254 (89.6%) | |||
| Medicaid | 4188 (15.2%) | 2871 (23.2%) | 66 (1.5%) | 35 (1.4%) | |||
| Self-Pay | 5707 (20.7%) | 1915 (15.5%) | 37 (0.8%) | 9 (0.4%) | |||
| No Charge | 586 (2.1%) | 179 (1.4%) | 1 (0%) | 4 (0.2%) | |||
| Other | 1626 (5.9%) | 548 (4.4%) | 57 (1.3%) | 17 (0.7%) | |||
| Hospital Location | Rural | 2815 (10.2%) | 1417 (11.5%) | <0.001 | 624 (14%) | 360 (14.3%) | 0.400 |
| Urban: Non-Teaching | 11,403 (41.4%) | 5062 (41.0%) | 2007 (45.1%) | 1156 (45.9%) | |||
| Urban: Teaching | 13,299 (48.3%) | 5867 (47.5%) | 1817 (40.8%) | 1000 (39.7%) | |||
| Comorbidities | AIDS | 607 (2.2%) | 106 (0.9%) | <0.001 | 6 (0.1%) | 0 (0%) | |
| Alcohol Abuse | 1104 (4%) | 159 (1.3%) | <0.001 | 135 (3%) | 11 (0.4%) | <0.001 | |
| Deficiency Anemias | 1919 (6.9%) | 1551 (12.5%) | <0.001 | 795 (17.8%) | 617 (24.5%) | <0.001 | |
| Rheumatoid Arthritis | 225 (0.8%) | 332 (2.7%) | <0.001 | 85 (1.9%) | 116 (4.6%) | <0.001 | |
| Chronic Blood Loss | 88 (0.3%) | 93 (0.8%) | <0.001 | 58 (1.3%) | 28 (1.1%) | 0.490 | |
| Congestive Heart Failure | 496 (1.8%) | 236 (1.9%) | 0.450 | 552 (12.4%) | 338 (13.4%) | 0.210 | |
| Chronic Pulmonary Disease | 2180 (7.9%) | 1628 (13.1%) | <0.001 | 876 (19.6%) | 452 (17.9%) | 0.090 | |
| Coagulopathy | 408 (1.5%) | 165 (1.3%) | 0.260 | 172 (3.9%) | 63 (2.5%) | 0.003 | |
| Depression | 1202 (4.3%) | 1235 (10.0%) | <0.001 | 251 (5.6%) | 245 (9.7%) | <0.001 | |
| Diabetes, Uncomplicated | 5666 (20.5%) | 3044 (24.5%) | <0.001 | 1442 (32.3%) | 835 (33.1%) | 0.470 | |
| Diabetes, Chronic Complications | 770 (2.8%) | 546 (4.4%) | <0.001 | 236 (5.3%) | 154 (6.1%) | 0.150 | |
| Drug Abuse | 1098 (4.0%) | 341 (2.8%) | <0.001 | 14 (0.3%) | 6 (0.2%) | 0.570 | |
| Hypertension | 8174 (29.6%) | 3660 (29.5%) | 0.920 | 2913 (65.3%) | 1739 (69.0%) | 0.001 | |
| Hypothyroidism | 499 (1.8%) | 829 (6.7%) | <0.001 | 302 (6.8%) | 461 (18.3%) | <0.001 | |
| Liver Disease | 655 (2.4%) | 203 (1.6%) | <0.001 | 88 (2%) | 40 (1.6%) | 0.250 | |
| Lymphoma | 146 (0.5%) | 45 (0.4%) | 0.027 | 83 (1.9%) | 27 (1.1%) | 0.011 | |
| Fluid/Electrolyte Disorders | 3026 (10.9%) | 1907 (15.4%) | <0.001 | 949 (21.3%) | 744 (29.5%) | <0.001 | |
| Metastatic Cancer | 346 (1.3%) | 160 (1.3%) | 0.750 | 212 (4.8%) | 57 (2.3%) | <0.001 | |
| Other Neurological Disorders | 586 (2.1%) | 343 (2.8%) | <0.001 | 307 (6.9%) | 201 (8%) | 0.090 | |
| Obesity | 2975 (10.8%) | 2345 (18.9%) | <0.001 | 368 (8.2%) | 310 (12.3%) | <0.001 | |
| Paralysis | 325 (1.2%) | 93 (0.8%) | <0.001 | 106 (2.4%) | 48 (1.9%) | 0.200 | |
| Peripheral Vascular Disorders | 308 (1.1%) | 112 (0.9%) | 0.060 | 344 (7.7%) | 132 (5.2%) | <0.001 | |
| Psychoses | 706 (2.6%) | 488 (3.9%) | <0.001 | 59 (1.3%) | 55 (2.2%) | 0.006 | |
| Pulmonary Circulation Disorders | 72 (0.3%) | 42 (0.3%) | 0.170 | 63 (1.4%) | 44 (1.7%) | 0.270 | |
| Renal Failure | 939 (3.4%) | 423 (3.4%) | 0.940 | 629 (14.1%) | 332 (13.2%) | 0.290 | |
| Solid Tumor | 387 (1.4%) | 194 (1.6%) | 0.200 | 202 (4.5%) | 112 (4.4%) | 0.880 | |
| Peptic Ulcer | 5 (0%) | 0 (0%) | 0.330 | 0 (0%) | 0 (0%) | <0.001 | |
| Valvular Disease | 230 (0.8%) | 136 (1.1%) | 0.010 | 179 (4.0%) | 126 (5.0%) | 0.052 | |
| Weight Loss | 467 (1.7%) | 232 (1.9%) | 0.200 | 232 (5.2%) | 162 (6.4%) | 0.032 | |
| Invasive Diagnostic Procedure | 3089 (11.2%) | 1315 (10.6%) | 0.090 | 532 (11.9%) | 263 (10.4%) | 0.060 | |
| Surgical Procedure | 23,494 (85%) | 10,404 (83.9%) | 0.006 | 3510 (78.6%) | 1856 (73.7%) | <0.001 | |
| Invasive or Surgical Procedure | 23,810 (86.1%) | 10,585 (85.4%) | 0.043 | 3594 (80.5%) | 1912 (75.9%) | <0.001 | |
| Medical/Surgical Complication Diagnosis | 214 (0.8%) | 104 (0.8%) | 0.500 | 49 (1.1%) | 28 (1.1%) | 0.960 | |
| Reoperation | 249 (0.9%) | 100 (0.8%) | 0.350 | 100 (2.2%) | 59 (2.3%) | 0.790 | |
| Deceased | 45 (0.2%) | 17 (0.1%) | 0.550 | 39 (0.9%) | 34 (1.4%) | 0.060 | |
| Mean (SD) | Mean (SD) | p | Mean (SD) | Mean (SD) | p | ||
| Age, Years | 43.05 (11.69) | 41.47 (12.28) | <0.001 | 73.42 (6.96) | 76.08 (8.11) | <0.001 | |
| Modified Frailty Index Score | 0.72 (0.92) | 0.83 (0.99) | <0.001 | 1.66 (1.12) | 1.67 (1.10) | 0.580 | |
| Time to Invasive Diagnostic Procedure, Days | 1.18 (1.89) | 1.56 (3.33) | <0.001 | 2.35 (3.26) | 2.74 (3.65) | 0.160 | |
| Time to Surgical Procedure, Days | 0.62 (1.22) | 0.69 (1.35) | <0.001 | 1.12 (5.74) | 1.11 (1.77) | 0.960 | |
| Hospital Length of Stay, Days | 3.28 (4.01) | 3.64 (4.26) | <0.001 | 5.02 (6.69) | 5.85 (6.02) | <0.001 | |
| Total Charges, American Dollars | 22,727 (32,984) | 23,458 (32,992) | 0.043 | 30,999 (36,644) | 31,605 (40,119) | 0.530 | |
Table 2.
Characteristics of emergently admitted patients with the primary diagnosis of abscess of anal/rectal regions. Data are stratified according to operation status, NIS 2004–2014.
Table 2.
Characteristics of emergently admitted patients with the primary diagnosis of abscess of anal/rectal regions. Data are stratified according to operation status, NIS 2004–2014.
| Adult, N (%) | Elderly, N (%) | ||||||
|---|---|---|---|---|---|---|---|
| No Operation | Operation | p | No Operation | Operation | p | ||
| All Cases | 6169 (15.3%) | 34,137 (84.7%) | 1616 (23.1%) | 5370 (76.9%) | |||
| Sex, Female | 1996 (32.5%) | 10,404 (30.7%) | 0.006 | 663 (41.0%) | 1856 (34.6%) | <0.001 | |
| Race | White | 2846 (54.3%) | 15,351 (52.7%) | 0.002 | 1010 (73.8%) | 3263 (71.2%) | 0.002 |
| Black | 1241 (23.7%) | 6793 (23.3%) | 184 (13.4%) | 594 (13.0%) | |||
| Hispanic | 791 (15.1%) | 4888 (16.8%) | 110 (8.0%) | 478 (10.4%) | |||
| Asian/Pacific Islander | 110 (2.1%) | 739 (2.5%) | 26 (1.9%) | 101 (2.2%) | |||
| Native American | 56 (1.1%) | 216 (0.7%) | 14 (1.0%) | 18 (0.4%) | |||
| Other | 202 (3.9%) | 1121 (3.9%) | 25 (1.8%) | 129 (2.8%) | |||
| Income Quartile | Quartile 1 | 2124 (35.5%) | 10,996 (33.2%) | <0.001 | 477 (30.2%) | 1559 (29.7%) | 0.960 |
| Quartile 2 | 1529 (25.6%) | 8425 (25.4%) | 415 (26.3%) | 1390 (26.4%) | |||
| Quartile 3 | 1301 (21.8%) | 7548 (22.8%) | 377 (23.9%) | 1255 (23.9%) | |||
| Quartile 4 | 1021 (17.1%) | 6153 (18.6%) | 309 (19.6%) | 1054 (20.0%) | |||
| Insurance | Private Insurance | 2508 (40.8%) | 15,818 (46.5%) | <0.001 | 143 (8.9%) | 574 (10.7%) | 0.220 |
| Medicare | 885 (14.4%) | 3254 (9.6%) | 1418 (87.9%) | 4615 (86.1%) | |||
| Medicaid | 1303 (21.2%) | 5793 (17.0%) | 26 (1.6%) | 75 (1.4%) | |||
| Self-Pay | 1064 (17.3%) | 6601 (19.4%) | 12 (0.7%) | 34 (0.6%) | |||
| No Charge | 93 (1.5%) | 672 (2.0%) | 0 (0%) | 5 (0.1%) | |||
| Other | 293 (4.8%) | 1910 (5.6%) | 15 (0.9%) | 59 (1.1%) | |||
| Hospital Location | Rural | 722 (11.8%) | 3515 (10.3%) | 0.002 | 262 (16.3%) | 722 (13.5%) | 0.012 |
| Urban: Non-Teaching | 2546 (41.5%) | 14,046 (41.3%) | 698 (43.3%) | 2468 (46.1%) | |||
| Urban: Teaching | 2868 (46.7%) | 16,426 (48.3%) | 651 (40.4%) | 2167 (40.5%) | |||
| Comorbidities | AIDS | 235 (3.8%) | 479 (1.4%) | <0.001 | 2 (0.1%) | 4 (0.1%) | 0.630 |
| Alcohol Abuse | 239 (3.9%) | 1024 (3.0%) | <0.001 | 29 (1.8%) | 117 (2.2%) | 0.340 | |
| Deficiency Anemias | 810 (13.1%) | 2663 (7.8%) | <0.001 | 374 (23.1%) | 1039 (19.3%) | <0.001 | |
| Rheumatoid Arthritis | 105 (1.7%) | 452 (1.3%) | 0.019 | 47 (2.9%) | 154 (2.9%) | 0.930 | |
| Chronic Blood Loss | 41 (0.7%) | 140 (0.4%) | 0.006 | 27 (1.7%) | 59 (1.1%) | 0.070 | |
| Congestive Heart Failure | 161 (2.6%) | 571 (1.7%) | <0.001 | 242 (15.0%) | 648 (12.1%) | 0.002 | |
| Chronic Pulmonary Disease | 669 (10.8%) | 3143 (9.2%) | <0.001 | 308 (19.1%) | 1020 (19.0%) | 0.950 | |
| Coagulopathy | 149 (2.4%) | 424 (1.2%) | <0.001 | 69 (4.3%) | 166 (3.1%) | 0.021 | |
| Depression | 497 (8.1%) | 1941 (5.7%) | <0.001 | 136 (8.4%) | 360 (6.7%) | 0.019 | |
| Diabetes, Uncomplicated | 1440 (23.3%) | 7279 (21.3%) | <0.001 | 503 (31.1%) | 1774 (33.0%) | 0.150 | |
| Diabetes, Chronic Complications | 271 (4.4%) | 1045 (3.1%) | <0.001 | 100 (6.2%) | 290 (5.4%) | 0.230 | |
| Drug Abuse | 310 (5.0%) | 1129 (3.3%) | <0.001 | 7 (0.4%) | 13 (0.2%) | 0.210 | |
| Hypertension | 2044 (33.1%) | 9802 (28.7%) | <0.001 | 1035 (64.0%) | 3617 (67.4%) | 0.013 | |
| Hypothyroidism | 234 (3.8%) | 1094 (3.2%) | 0.017 | 174 (10.8%) | 590 (11.0%) | 0.800 | |
| Liver Disease | 168 (2.7%) | 691 (2.0%) | <0.001 | 36 (2.2%) | 92 (1.7%) | 0.180 | |
| Lymphoma | 48 (0.8%) | 144 (0.4%) | <0.001 | 32 (2%) | 78 (1.5%) | 0.140 | |
| Fluid/Electrolyte Disorders | 1049 (17.0%) | 3885 (11.4%) | <0.001 | 442 (27.4%) | 1252 (23.3%) | <0.001 | |
| Metastatic Cancer | 163 (2.6%) | 343 (1.0%) | <0.001 | 79 (4.9%) | 190 (3.5%) | 0.013 | |
| Other Neurological Disorders | 167 (2.7%) | 762 (2.2%) | 0.022 | 145 (9%) | 363 (6.8%) | 0.003 | |
| Obesity | 883 (14.3%) | 4443 (13.0%) | 0.006 | 149 (9.2%) | 529 (9.9%) | 0.450 | |
| Paralysis | 126 (2.0%) | 292 (0.9%) | <0.001 | 41 (2.5%) | 113 (2.1%) | 0.300 | |
| Peripheral Vascular Disorders | 94 (1.5%) | 326 (1.0%) | <0.001 | 115 (7.1%) | 361 (6.7%) | 0.580 | |
| Psychoses | 254 (4.1%) | 941 (2.8%) | <0.001 | 32 (2%) | 82 (1.5%) | 0.210 | |
| Pulmonary Circulation Disorders | 24 (0.4%) | 90 (0.3%) | 0.090 | 28 (1.7%) | 79 (1.5%) | 0.450 | |
| Renal Failure | 308 (5.0%) | 1055 (3.1%) | <0.001 | 237 (14.7%) | 724 (13.5%) | 0.230 | |
| Solid Tumor | 197 (3.2%) | 384 (1.1%) | <0.001 | 115 (7.1%) | 199 (3.7%) | <0.001 | |
| Peptic Ulcer | 0 (0%) | 5 (0%) | 0.340 | 0 (0%) | 0 (0%) | ||
| Valvular Disease | 57 (0.9%) | 310 (0.9%) | 0.900 | 75 (4.6%) | 230 (4.3%) | 0.540 | |
| Weight Loss | 192 (3.1%) | 507 (1.5%) | <0.001 | 111 (6.9%) | 283 (5.3%) | 0.015 | |
| Invasive Diagnostic Procedure | 499 (8.1%) | 3929 (11.5%) | <0.001 | 140 (8.7%) | 655 (12.2%) | <0.001 | |
| Medical/Surgical Complication Diagnosis | 50 (0.8%) | 268 (0.8%) | 0.840 | 15 (0.9%) | 62 (1.2%) | 0.450 | |
| Reoperation | 0 (0%) | 349 (1.0%) | <0.001 | 0 (0%) | 159 (3.0%) | <0.001 | |
| Deceased | 20 (0.3%) | 42 (0.1%) | <0.001 | 27 (1.7%) | 46 (0.9%) | 0.005 | |
| Mean (SD) | Mean (SD) | p | Mean (SD) | Mean (SD) | p | ||
| Age, Years | 43.54 (12.02) | 42.35 (11.86) | <0.001 | 75.46 (7.96) | 74.06 (7.32) | <0.001 | |
| Modified Frailty Index Score | 0.91 (1.02) | 0.72 (0.92) | <0.001 | 1.71 (1.11) | 1.65 (1.11) | 0.052 | |
| Time to Invasive Diagnostic Procedure, Days | 2.12 (2.23) | 1.17 (2.40) | <0.001 | 3.08 (3.06) | 2.34 (3.46) | 0.029 | |
| Hospital Length of Stay, Days | 3.94 (5.33) | 3.28 (3.81) | <0.001 | 5.62 (5.33) | 5.23 (6.77) | 0.030 | |
| Total Charges, American Dollars | 22,267 (32,479) | 23,062 (32,998) | 0.080 | 27,627 (33,924) | 32,303 (38,998) | <0.001 | |
Table 3.
Characteristics of emergently admitted patients with the primary diagnosis of abscess of anal/rectal regions. Data are classified according to outcome categories, NIS 2004–2014.
Table 3.
Characteristics of emergently admitted patients with the primary diagnosis of abscess of anal/rectal regions. Data are classified according to outcome categories, NIS 2004–2014.
| Adult, N (%) | Elderly, N (%) | ||||||
|---|---|---|---|---|---|---|---|
| Survived | Deceased | p | Survived | Deceased | p | ||
| All Cases | 40,230 (99.8%) | 62 (0.2%) | 6910 (99.0%) | 73 (1.0%) | |||
| Sex, Female | 12,382 (31.0%) | 17 (27.4%) | 0.550 | 2483 (36.0%) | 34 (46.6%) | 0.060 | |
| Race | White | 18,163 (53.0%) | 27 (50.0%) | 0.460 | 4220 (71.7%) | 51 (78.5%) | 0.730 |
| Black | 8015 (23.4%) | 18 (33.3%) | 770 (13.1%) | 8 (12.3%) | |||
| Hispanic | 5670 (16.5%) | 6 (11.1%) | 583 (9.9%) | 5 (7.7%) | |||
| Asian/Pacific Islander | 847 (2.5%) | 2 (3.7%) | 127 (2.2%) | 0 (0%) | |||
| Native American | 272 (0.8%) | 0 (0%) | 32 (0.5%) | 0 (0%) | |||
| Other | 1321 (3.9%) | 1 (1.9%) | 153 (2.6%) | 1 (1.5%) | |||
| Income Quartile | Quartile 1 | 13,097 (33.6%) | 22 (35.5%) | 0.560 | 2014 (29.8%) | 21 (30.0%) | 0.880 |
| Quartile 2 | 9936 (25.5%) | 14 (22.6%) | 1785 (26.4%) | 20 (28.6%) | |||
| Quartile 3 | 8832 (22.6%) | 11 (17.7%) | 1618 (23.9%) | 14 (20.0%) | |||
| Quartile 4 | 7156 (18.3%) | 15 (24.2%) | 1346 (19.9%) | 15 (21.4%) | |||
| Insurance | Private Insurance | 18,301 (45.6%) | 22 (35.5%) | <0.001 | 713 (10.3%) | 3 (4.1%) | 0.320 |
| Medicare | 4122 (10.3%) | 16 (25.8%) | 5961 (86.4%) | 70 (95.9%) | |||
| Medicaid | 7075 (17.6%) | 16 (25.8%) | 101 (1.5%) | 0 (0%) | |||
| Self-Pay | 7660 (19.1%) | 3 (4.8%) | 46 (0.7%) | 0 (0%) | |||
| No Charge | 765 (1.9%) | 0 (0%) | 5 (0.1%) | 0 (0%) | |||
| Other | 2195 (5.5%) | 5 (8.1%) | 74 (1.1%) | 0 (0%) | |||
| Hospital Location | Rural | 4232 (10.6%) | 4 (6.5%) | 0.008 | 974 (14.1%) | 9 (12.3%) | 0.700 |
| Urban: Non-Teaching | 16,570 (41.4%) | 16 (25.8%) | 3133 (45.5%) | 31 (42.5%) | |||
| Urban: Teaching | 19,245 (48.1%) | 42 (67.7%) | 2785 (40.4%) | 33 (45.2%) | |||
| Comorbidities | AIDS | 712 (1.8%) | 2 (3.2%) | 0.300 | 5 (0.1%) | 1 (1.4%) | 0.060 |
| Alcohol Abuse | 1257 (3.1%) | 6 (9.7%) | 0.003 | 145 (2.1%) | 1 (1.4%) | 0.999 | |
| Deficiency Anemias | 3459 (8.6%) | 11 (17.7%) | 0.010 | 1395 (20.2%) | 18 (24.7%) | 0.340 | |
| Rheumatoid Arthritis | 555 (1.4%) | 1 (1.6%) | 0.580 | 199 (2.9%) | 2 (2.7%) | 0.999 | |
| Chronic Blood Loss | 180 (0.4%) | 1 (1.6%) | 0.240 | 84 (1.2%) | 2 (2.7%) | 0.230 | |
| Congestive Heart Failure | 721 (1.8%) | 11 (17.7%) | <0.001 | 868 (12.6%) | 22 (30.1%) | <0.001 | |
| Chronic Pulmonary Disease | 3802 (9.5%) | 8 (12.9%) | 0.350 | 1304 (18.9%) | 24 (32.9%) | 0.002 | |
| Coagulopathy | 561 (1.4%) | 12 (19.4%) | <0.001 | 227 (3.3%) | 8 (11.0%) | <0.001 | |
| Depression | 2434 (6.1%) | 3 (4.8%) | 0.999 | 490 (7.1%) | 5 (6.8%) | 0.940 | |
| Diabetes, Uncomplicated | 8700 (21.6%) | 16 (25.8%) | 0.420 | 2261 (32.7%) | 14 (19.2%) | 0.014 | |
| Diabetes, Chronic Complications | 1311 (3.3%) | 4 (6.5%) | 0.140 | 387 (5.6%) | 3 (4.1%) | 0.800 | |
| Drug Abuse | 1433 (3.6%) | 3 (4.8%) | 0.490 | 20 (0.3%) | 0 (0%) | 0.999 | |
| Hypertension | 11,812 (29.4%) | 29 (46.8%) | 0.003 | 4601 (66.6%) | 50 (68.5%) | 0.730 | |
| Hypothyroidism | 1324 (3.3%) | 4 (6.5%) | 0.150 | 754 (10.9%) | 10 (13.7%) | 0.450 | |
| Liver Disease | 846 (2.1%) | 12 (19.4%) | <0.001 | 126 (1.8%) | 2 (2.7%) | 0.390 | |
| Lymphoma | 188 (0.5%) | 3 (4.8%) | 0.003 | 109 (1.6%) | 1 (1.4%) | 0.999 | |
| Fluid/Electrolyte Disorders | 4903 (12.2%) | 28 (45.2%) | <0.001 | 1658 (24%) | 35 (47.9%) | <0.001 | |
| Metastatic Cancer | 498 (1.2%) | 8 (12.9%) | <0.001 | 261 (3.8%) | 8 (11.0%) | 0.002 | |
| Other Neurological Disorders | 920 (2.3%) | 6 (9.7%) | <0.001 | 495 (7.2%) | 13 (17.8%) | <0.001 | |
| Obesity | 5318 (13.2%) | 8 (12.9%) | 0.940 | 674 (9.8%) | 4 (5.5%) | 0.320 | |
| Paralysis | 417 (1.0%) | 0 (0%) | 0.999 | 153 (2.2%) | 1 (1.4%) | 0.999 | |
| Peripheral Vascular Disorders | 415 (1.0%) | 5 (8.1%) | <0.001 | 465 (6.7%) | 11 (15.1%) | 0.005 | |
| Psychoses | 1193 (3.0%) | 1 (1.6%) | 0.999 | 113 (1.6%) | 1 (1.4%) | 0.999 | |
| Pulmonary Circulation Disorders | 113 (0.3%) | 1 (1.6%) | 0.160 | 103 (1.5%) | 4 (5.5%) | 0.025 | |
| Renal Failure | 1347 (3.3%) | 16 (25.8%) | <0.001 | 933 (13.5%) | 28 (38.4%) | <0.001 | |
| Solid Tumor | 579 (1.4%) | 2 (3.2%) | 0.230 | 308 (4.5%) | 6 (8.2%) | 0.120 | |
| Peptic Ulcer | 5 (0%) | 0 (0%) | 0.999 | 0 (0%) | 0 (0%) | ||
| Valvular Disease | 366 (0.9%) | 1 (1.6%) | 0.430 | 301 (4.4%) | 4 (5.5%) | 0.560 | |
| Weight Loss | 691 (1.7%) | 7 (11.3%) | <0.001 | 373 (5.4%) | 21 (28.8%) | <0.001 | |
| Invasive Diagnostic Procedure | 4414 (11.0%) | 12 (19.4%) | 0.035 | 779 (11.3%) | 15 (20.5%) | 0.013 | |
| Surgical Procedure | 34,082 (84.7%) | 42 (67.7%) | <0.001 | 5322 (77%) | 46 (63.0%) | 0.005 | |
| Invasive or Surgical Procedure | 34,579 (86.0%) | 44 (71.0%) | <0.001 | 5460 (79%) | 48 (65.8%) | 0.006 | |
| Medical/Surgical Complication Diagnosis | 315 (0.8%) | 3 (4.8%) | 0.013 | 72 (1.0%) | 5 (6.8%) | <0.001 | |
| Reoperation | 339 (0.8%) | 9 (14.5%) | <0.001 | 151 (2.2%) | 8 (11.0%) | <0.001 | |
| Mean (SD) | Mean (SD) | p | Mean (SD) | Mean (SD) | p | ||
| Age, Years | 42.52 (11.89) | 51.42 (10.43) | <0.001 | 74.33 (7.47) | 79.44 (8.75) | <0.001 | |
| Modified Frailty Index Score | 0.75 (0.94) | 1.69 (1.21) | <0.001 | 1.66 (1.11) | 2.29 (1.16) | <0.001 | |
| Time to Invasive Diagnostic Procedure, Days | 1.28 (2.39) | 3.92 (4.38) | 0.060 | 2.38 (3.18) | 7.00 (7.88) | 0.047 | |
| Time to Surgical Procedure, Days | 0.64 (1.25) | 1.62 (2.82) | 0.037 | 1.10 (4.76) | 2.84 (4.81) | 0.023 | |
| Hospital Length of Stay, Days | 3.36 (3.99) | 14.60 (15.25) | <0.001 | 5.25 (6.40) | 11.62 (9.35) | <0.001 | |
| Total Charges, American Dollars | 22,742 (31,511) | 159,516 (204,036) | <0.001 | 30,636 (36,797) | 84,490 (80,680) | <0.001 | |
Table 4.
Backward logistic regression analysis to evaluate the associations between mortality and different risk factors in patients emergently admitted with a primary diagnosis of abscess of anal and rectal regions (NIS 2005–2014). Mortality was the dependent variable.
Table 4.
Backward logistic regression analysis to evaluate the associations between mortality and different risk factors in patients emergently admitted with a primary diagnosis of abscess of anal and rectal regions (NIS 2005–2014). Mortality was the dependent variable.
| Patients’ Characteristics | Mortality | |
|---|---|---|
| N = 47,011 | R2 = 0.357 | |
| OR (95% CI) | p | |
| Number of Events | N = 135 | |
| Age, Years | 1.03 (1.02, 1.04) | <0.001 |
| Surgical Procedure | 0.49 (0.33, 0.71) | <0.001 |
| Hospital Length of Stay, Days | 1.02 (1.01, 1.03) | <0.001 |
| Invasive Procedure | 1.55 (0.98, 2.46) | 0.060 |
| Respiratory Diseases | 4.19 (2.86, 6.13) | <0.001 |
| Cardiac Diseases | 3.60 (2.36, 5.50) | <0.001 |
| Liver Diseases | 3.62 (2.07, 6.32) | <0.001 |
| Genitourinary System Diseases | 3.00 (1.97, 4.56) | <0.001 |
| Platelet and White Blood Cell Diseases | 2.43 (1.59, 3.71) | <0.001 |
| Trauma, Burns, and Poisons | 7.71 (5.31, 11.19) | <0.001 |
| Neoplasms | 1.93 (1.30, 2.87) | 0.001 |
| Neurological Diseases | 1.70 (1.15, 2.50) | 0.008 |
| Sex, Female | Removed Via Stepwise Backward Elimination | |
| Bacterial Infections (Other than Tuberculosis) | ||
| Coagulopathy | ||
| Peripheral Vascular Diseases | ||
| Fluid and Electrolyte Disorders | ||
| Cerebrovascular Diseases | ||
| Tuberculosis | ||
| Nonbacterial Infections | ||
| Anemia and/or Hemorrhage | ||
| Digestive Diseases other than Liver | ||
| Diabetes | ||
| Drug Abuse/Withdrawal/Dependence | ||
| Alcohol Abuse/Withdrawal/Dependence | ||
| Tobacco Use | ||
| Hypertension | ||
| Endocrine Diseases | ||
| Nutritional/Weight Disorders | ||
| Musculoskeletal System and Connective Tissue Diseases | ||
| Psychiatric Diseases | ||
| Skin Diseases | ||
| Long Term Medication Usage | ||
| Diseases of Oral Cavity, Salivary Glands, and Jaw | ||
| Sleep Disorders | ||
| Lack of Physical Evidence | ||
| Inappropriate Diet and Eating Habits | ||
| High Risk Lifestyle Behaviors | ||
| Social Factors | ||
Table 5.
Secondary diagnoses of patients emergently admitted with a primary diagnosis of abscess of anal and rectal regions (NIS 2004–2014). Data are stratified according to survival status.
Table 5.
Secondary diagnoses of patients emergently admitted with a primary diagnosis of abscess of anal and rectal regions (NIS 2004–2014). Data are stratified according to survival status.
| Adult, N (%) | Elderly, N (%) | |||||
|---|---|---|---|---|---|---|
| Lifestyle, Complications, Comorbidities and Secondary Diagnoses (ICD-9 Codes) | Survived | Deceased | p Value | Survived | Deceased | p Value |
| Observations | 40,230 (99.8%) | 62 (0.2%) | 6910 (99%) | 73 (1%) | ||
| Tuberculosis (010.0–018.96) | 4 (0.0%) | 0 (0%) | 0.940 | 0 (0%) | 0 (0%) | |
| Bacterial Infections Other than Tuberculosis (020.0–041.9, 790.7) | 7037 (18%) | 36 (58%) | <0.001 | 1849 (27%) | 33 (45%) | <0.001 |
| Nonbacterial Infections (042, 795.71, V08, 045.0–139.8, 790.8, and/or presence of Comorbidity of AIDS) | 3221 (8%) | 12 (19%) | <0.001 | 342 (5%) | 10 (14%) | <0.001 |
| Diabetes (250.0–250.93, V58.67, and/or presence of Comorbidity of Diabetes Uncomplicated or Diabetes Chronic Complications) | 10,028 (25%) | 20 (32%) | 0.180 | 2654 (38%) | 17 (23%) | 0.008 |
| Hypertension (401.0–405.99, 796.2, and/or presence of Comorbidity of Hypertension) | 11,893 (30%) | 29 (47%) | 0.003 | 4611 (67%) | 50 (69%) | 0.750 |
| Anemia and/or Hemorrhage (280.0–285.9, 784.7, 784.8, and/or presence of Comorbidity of Anemia) | 4154 (10%) | 20 (32%) | <0.001 | 1703 (25%) | 28 (38%) | 0.007 |
| Respiratory Diseases (415.0–417.9, 460–519.9, 784.91, 786, and/or presence of Comorbidity of COPD, ILD or Pulmonary Circulation Disease) | 5044 (13%) | 37 (60%) | <0.001 | 1818 (26%) | 53 (73%) | <0.001 |
| Coagulopathy (286.0–286.9, 790.92, V58.61, V58.63, and/or presence of Comorbidity of Coagulopathy) | 1266 (3%) | 13 (21%) | <0.001 | 791 (11%) | 9 (12%) | 0.810 |
| Cardiac Diseases (391.X, 392.0, 393.398.99, 410.0–414.9, 420.0–429.9, 794.3X, 785.XX, and/or presence of Comorbidity of CHF or Valvular Diseases) | 4383 (11%) | 45 (73%) | <0.001 | 3151 (46%) | 55 (75%) | <0.001 |
| Cerebrovascular Diseases (325, 430–438) | 200 (0.5%) | 4 (7%) | <0.001 | 277 (4%) | 2 (3%) | 0.580 |
| Peripheral Vascular Diseases (440–457.9, and/or presence of Comorbidity of Peripheral Vascular Disorders) | 2925 (7%) | 12 (19%) | <0.001 | 1024 (15%) | 16 (22%) | 0.090 |
| Liver Diseases (570–573.9, 790.4, 794.8, and/or presence of Comorbidity of Liver Diseases) | 1095 (3%) | 14 (23%) | <0.001 | 167 (2%) | 4 (6%) | 0.090 |
| Diseases of Digestive System other than Liver (530.00–569.9, 574.0–579.9, 787, 001.0–009.3, and/or presence of Comorbidity of Peptic Ulcer) | 12,324 (31%) | 25 (40%) | 0.100 | 3025 (44%) | 37 (51%) | 0.240 |
| Diseases of Oral Cavity, Salivary Glands, and Jaws (520–529) | 136 (0.3%) | 0 (0%) | 0.650 | 23 (0.3%) | 0 (0%) | 0.620 |
| Nutritional/Weight Disorders (260–273.9, 275.XX, 277.0–278.8, 783.XX, 799.3–799.4, and/or presence of Comorbidity of Weight Loss) | 10,251 (26%) | 22 (36%) | 0.070 | 3210 (47%) | 33 (45%) | 0.830 |
| Endocrine Diseases (240.0–259.9, 991.0–992.9, and/or presence of Comorbidity of Endocrine Diseases) | 11,073 (28%) | 24 (39%) | 0.049 | 3190 (46%) | 26 (36%) | 0.070 |
| Genitourinary System Diseases (580.0–629.9, 403.XX, 791.XX, 788.XX, and/or presence of Comorbidity of Renal Diseases) | 6733 (17%) | 43 (69%) | <0.001 | 2965 (43%) | 59 (81%) | <0.001 |
| Neurological Diseases (317.0–326, 330.0–337.9, 340–359.9, 392, 780.0–780.09, 780.2–780.4, 317–319, 290.XX, 294.XX, 781.0–782.0, and/or presence of Comorbidity of Paralysis or Other Neurological Disorders or Paralysis) | 2846 (7%) | 18 (29%) | <0.001 | 1361 (20%) | 28 (38%) | <0.001 |
| Diseases of the Musculoskeletal System and Connective Tissue (274.XX, 710.0–739, and/or presence of Comorbidity of Rheumatoid Arthritis or Lupus) | 4018 (10%) | 10 (16%) | 0.110 | 1730 (25%) | 22 (30%) | 0.320 |
| Fluid and Electrolyte Disorders (275.0–276.9, 458.0–459.9, and/or presence of Comorbidity of Fluid and Electrolyte Disorders) | 5466 (14%) | 31 (50%) | <0.001 | 1871 (27%) | 38 (52%) | <0.001 |
| Neoplasms (140.0–239.9, V10.XX, and/or presence of Comorbidity of Lymphoma, Metastatic Diseases, or Tumor) | 2785 (7%) | 21 (34%) | <0.001 | 1736 (25%) | 25 (34%) | 0.070 |
| Platelet and White Blood Cell Diseases (204.0–208.92, 287.0–288.9, 238.71) | 2371 (6%) | 21 (34%) | <0.001 | 634 (9%) | 14 (19%) | 0.003 |
| Psychiatric Diseases (293.XX, 295.0–302.9, 306.0–316, 780.1, V62.8, V15.4, and/or presence of Comorbidity of Psychoses) | 4678 (12%) | 6 (10%) | 0.630 | 847 (12%) | 10 (14%) | 0.710 |
| Skin Diseases (680.0–709.9, 782.1–782.9) | 5063 (13%) | 18 (29%) | <0.001 | 1206 (18%) | 21 (29%) | 0.012 |
| Trauma, Burns and Poisoning (800–999) | 1592 (4%) | 37 (60%) | <0.001 | 498 (7%) | 32 (44%) | <0.001 |
| Drug Abuse/Withdrawal/Dependence (292.0–292.9, 304.0–304.93, 305.2–305.93, and/or presence of Comorbidity of Drug Abuse) | 1448 (4%) | 3 (5%) | 0.600 | 35 (0.5%) | 0 (0%) | 0.540 |
| Alcohol Abuse/Withdrawal/Dependence (291.0–291.9, 303.0–303.93, 305.0–305.03, and/or presence of Comorbidity of Alcohol Abuse) | 1257 (3%) | 6 (10%) | 0.003 | 145 (2%) | 1 (1%) | 0.670 |
| Tobacco Use (305.1) | 12,035 (30%) | 13 (21%) | 0.120 | 1321 (19%) | 6 (8%) | 0.018 |
| Long-Term Medications/Radiotherapy (V58.0–V58-2, V58.62, V58.64–V58.66, V58.68–V58.69) | 1881 (5%) | 6 (10%) | 0.060 | 702 (10%) | 5 (7%) | 0.350 |
| Social Factors (V60.0–V62.6, V63.0–V64.3, V15.81) | 1742 (4%) | 1 (2%) | 0.290 | 138 (2%) | 2 (3%) | 0.650 |
| Sleep Disorders (327, 780.5, V69.4, V69.5) | 1498 (4%) | 4 (7%) | 0.260 | 316 (5%) | 2 (3%) | 0.460 |
| Lack of Physical Exercise (V69.0) | 0 (0) | 0 (0%) | 0 (0%) | 0 (0%) | ||
| Inappropriate Diet and Eating Habits (V69.1) | 0 (0) | 0 (0%) | 0 (0%) | 0 (0%) | ||
| High Risk Lifestyle Behaviors (V69.2, V69.3) | 5 (0.0) | 0 (0%) | 0.930 | 0 (0%) | 0 (0%) | |
| Body Mass Index of Less than 18.9 (V85.0) | 87 (4%) | 0 (0%) | 0.410 | 43 (13%) | 0 (0%) | 0.020 |
| Body Mass Index of 19–24.9 (V85.1) | 105 (5%) | 1 (20%) | 5 (10%) | 2 (67%) | ||
| Body Mass Index of 25.0–29.9 (V85.21–V85.25) | 157 (7%) | 0 (0%) | 41 (12%) | 0 (0%) | ||
| Body Mass Index of 30.0 and over (V85.30–V85.45) | 1785 (84%) | 4 (80%) | 217 (65%) | 1 (33%) | ||
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Ladinsky, A.; Smiley, A.; Latifi, R. Elderly Patients Managed Non-Operatively with Abscesses of the Anorectal Region Have Five Times Higher Rate of Mortality Compared to Non-Elderly. Int. J. Environ. Res. Public Health 2023, 20, 5387. https://doi.org/10.3390/ijerph20075387
AMA Style
Ladinsky A, Smiley A, Latifi R. Elderly Patients Managed Non-Operatively with Abscesses of the Anorectal Region Have Five Times Higher Rate of Mortality Compared to Non-Elderly. International Journal of Environmental Research and Public Health. 2023; 20(7):5387. https://doi.org/10.3390/ijerph20075387
Chicago/Turabian StyleLadinsky, Alexander, Abbas Smiley, and Rifat Latifi. 2023. "Elderly Patients Managed Non-Operatively with Abscesses of the Anorectal Region Have Five Times Higher Rate of Mortality Compared to Non-Elderly" International Journal of Environmental Research and Public Health 20, no. 7: 5387. https://doi.org/10.3390/ijerph20075387
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