Abstract
Background: Despite recent advances in the clinical management and understanding of sepsis and septic shock, these complex clinical syndromes continue to have high mortality rates. The effect of sex on these diseases’ mortality, clinical presentation and morbidity remains controversial. This study aimed to investigate the association of sex with mortality and organ dysfunction in patients with sepsis and septic shock. Methods: Prospectively enrolled patients with clinically defined sepsis and septic shock in three intensive care units at University Medical Center Göttingen, Germany, were investigated. The primary outcomes were 28- and 90-day mortality, while the secondary endpoints included the evaluation of organ dysfunction as measured by clinical scores and laboratory parameters. Results: A total of 737 septic patients were enrolled, including 373 in septic shock, 484 males, and 253 females. No significant differences in 28- and 90-day mortality were observed in the cohort. However, men with sepsis had significantly higher SOFA scores, SOFA respiratory and renal subscores, bilirubin and creatinine values, and lower weight-adapted urine outputs, indicating higher organ dysfunction compared to women. Conclusions: Our findings revealed notable differences in organ dysfunction between male and female patients, with males exhibiting more pronounced dysfunction across multiple clinical indicators. These results highlight the potential influence of sex on sepsis disease severity and suggest the need for tailored approaches in sepsis management according to patient sex.
Keywords: sepsis, septic shock, sex, sex differences, sepsis mortality, organ dysfunction, critical illness
1. Introduction
Sepsis and septic shock are complex life-threatening clinical syndromes that continue to pose significant challenges for clinicians and researchers worldwide. They are interdisciplinary pathologies that affect almost every department in the hospital and not only cause significant in-hospital mortality, associated long-term morbidity and reduced quality of life for patients concerned but also major expenses for public healthcare systems [1,2,3]. Despite advances in the understanding and clinical management of sepsis in recent years, mortality rates remain high, ranging from 25 to 30% in sepsis to over 50% in septic shock cases [4,5,6,7].
Recent research has suggested that sex-specific differences may play a role in the pathophysiology, clinical presentation and outcomes of sepsis, with potential implications for clinical management and treatment strategies. However, the findings were not consistent across all studies.
Several studies have reported that the mortality of sepsis and septic shock was significantly lower in female compared to male patients [8,9,10,11]. Furthermore, women were less likely to experience organ dysfunction and had a lower risk of developing sepsis-related complications such as acute respiratory distress syndrome (ARDS) [9,10].
However, other studies have found conflicting results reporting no significant difference in mortality between men and women or even increased mortality among women [12,13]. These controversial findings do not necessarily contradict the idea that sex may influence the pathophysiology of sepsis. Rather, they suggest that sex-specific differences in sepsis mortality may not be consistently observed across all patient populations or settings and need to be further investigated and confirmed in independent sepsis cohorts with precisely defined inclusion criteria.
Understanding the association of sex differences with mortality and organ dysfunction in patients with sepsis and septic shock remains a fundamental area of ongoing research. It may help to identify potential sex-specific prognostic risk factors for poor outcomes, which could be used to improve clinical management and develop risk-adjusted individualized treatment strategies. Moreover, insights into the underlying biological and molecular mechanisms—such as sex-specific modulations of the host immune response and the immunoregulatory role of sex hormones such as estrogen and testosterone—could lead to new approaches for preventing or treating critical conditions like sepsis and septic shock.
2. Materials and Methods
The present study was performed at the University Medical Center Göttingen, Germany. All investigations were approved under the ethical project identification code 1/15/12 by the institutional ethics committee of the University of Göttingen, Germany. The study was performed in accordance with the provisions, relevant guidelines and regulations of the Declaration of Helsinki. Written informed consent was obtained from all patients or their legal representatives.
This study was performed in accordance with the STROBE statement guidelines for reporting observational studies [14].
2.1. Patient Enrollment
This single-center investigation included a prospective cohort of 737 patients with sepsis, of which 373 met the International Consensus Sepsis-3 definition criteria for septic shock. The cohort was originally used to prospectively investigate the association of genetic variants and clinical characteristics with mortality, disease severity and the clinical phenotype of sepsis and septic shock. Patient enrollment occurred between 2012 and 2019 in three surgical ICUs at the University Medical Center Göttingen, Germany. All patients of these ICUs were screened daily for clinically defined sepsis in accordance with the latest guidelines and definitions [1,15]. Patients who met the eligibility criteria were added to the study database, GENOSEP, and monitored for 28 days with daily data collection, and their mortality status was tracked for 90 days through individual telephone follow-up or written requests from the local registry. None of the patients were lost at the time of follow-up. Non-eligible patients were excluded from the study according to the previously defined exclusion criteria [16,17,18,19,20,21]:
Less than 18 years of age;
Pregnancy and/or breastfeeding;
Therapy with immunosuppressive drugs and/or chemotherapy within six months prior to enrollment;
Myocardial infarction within six weeks before recruitment;
Chronic heart failure, classified as New York Heart Association stage IV;
Human immunodeficiency virus (HIV) infection and/or hepatitis B/C infection;
End-stage incurable disease;
Persistent vegetative state (apallic syndrome);
“Do Not Treat (DNT)” or “Do Not Resuscitate” (DNR) order;
Participation in interventional studies and family member of a study-site employee.
Eligible patients were dichotomized according to their sex into a male and female group.
2.2. Data Collection
All clinical and patient baseline data were generated from the electronic patient record system (IntelliSpace Critical Care and Anesthesia (ICCA), Philips Healthcare, Andover, MA, USA) using standardized clinical report forms (CRFs).
Recorded data included the patient baseline characteristics, such as basic characteristics (age, body mass index) and the disease severity or clinical condition at the time of enrollment (initial Sequential Organ Failure Assessment (SOFA) score, Acute Physiology and Chronic Health Evaluation (APACHE II) score, necessity of vasopressors, mechanical ventilation or renal replacement therapy). Patients’ recent surgical history (no surgery, elective or emergency surgery), as well as a primary site of infection (pulmonary, abdominal, bone or soft tissue, surgical wound, urogenital or primary bacteremia), were gathered. Additionally, common preexisting comorbidities, such as arterial hypertension, chronic obstructive pulmonary disease (COPD), bronchial asthma, renal dysfunction, non-insulin-dependent and insulin-dependent diabetes mellitus (NIDDM, IDDM), chronic liver disease, a history of myocardial infarction, stroke or cancer, and common long-term medication, including statins, beta-blockers, ACE inhibitors, bronchodilators, diuretics and anticoagulation, were recorded.
The relevant clinical parameters of disease severity were collected for a maximum duration of 28 days after sepsis onset, excluding patients that left the ICU or were earlier deceased. The disease severity parameters included the following: the SOFA and organ-specific SOFA scores (respiratory, coagulation, liver, cardiovascular, central nervous system, renal); days in septic shock, ICU and hospital length of stay; inflammatory values (leukocyte count, C-reactive protein, procalcitonin); respiratory values (total ventilated days, percentage of patients with mechanical ventilation, percentage of ventilated days during observation); coagulation (thrombocyte count); liver values (Bilirubin, aspartate transaminase (AST), alanine transaminase (ALT)); cardiovascular values (total days with vasopressor use, percentage of patients with vasopressor treatment, percentage of days with vasopressor treatment during observation); Glasgow Coma Score (GCS); and renal values (creatinine, total urine output per day, urine output per day per kilogram, total number of days with renal replacement therapy, percentage of patients with renal replacement therapy, percentage of renal replacement therapy during observation).
The primary outcome was 28- and 90-day mortality among men and women with sepsis and septic shock. The disease severity parameters served as secondary outcome variables.
2.3. Statistical Analysis
The categorical variables are presented as absolute numbers or percentages, while the continuous variables appear as the mean ± standard deviation or median and interquartile ranges, where applicable.
The Mann–Whitney U test was used to compare the continuous variables, whereas Pearson’s chi-square test or the two-sided Fisher’s exact test served to compare the discrete variables. The log-rank test was applied for Kaplan-Meier survival analyses.
Multivariate Cox proportional hazards regression analysis for the time until death was performed and adjusted for the relevant potential confounders that differed between the two groups at baseline. Hazard ratios (HRs) and associated 95%-confidence intervals (Cis) were calculated for 28- and 90-day mortality.
STATISTICA 13 software (version 13.0, StatSoft, Tulsa, OK, USA) was used for all statistical analyses. For the presented data, a p-value < 0.05 was considered statistically significant.
3. Results
3.1. Demographics and Patient Baseline Characteristics
A total of 737 patients were enrolled in the study, of which 484 were male and 253 were of female sex. None of the patients were lost at the time of the follow-up.
Table 1 presents the patient baseline characteristics stratified by sex. The average age was 63 ± 15 years, and the majority of patients were mechanically ventilated (87%) and received vasopressors (70%) at the time of sepsis onset. A total of 373 patients were in septic shock.
Table 1.
Characteristics | All (n = 737) |
Male (n = 484) |
Female (n = 253) |
p-Value |
---|---|---|---|---|
Basic Conditions | ||||
Age [years] | 63 ± 15 | 63 ± 15 | 63 ± 16 | 0.7029 |
Body mass index [kg/m2] | 28 ± 7 | 28 ± 7 | 27 ± 7 | 0.0062 |
Severity on Sepsis Onset (Day 1) | ||||
SOFA score | 10 ± 4 | 10 ± 4 | 9 ± 4 | 0.0636 |
APACHE II-score | 22 ± 7 | 22 ± 7 | 22 ± 7 | 0.4484 |
Use of vasopressor [%] | 70 | 69 | 72 | 0.4433 |
Mechanical ventilation [%] | 87 | 87 | 87 | 0.9973 |
Renal replacement therapy [%] | 10 | 11 | 9 | 0.5351 |
Comorbidities [%] | ||||
Arterial hypertension | 53 | 53 | 53 | 0.8619 |
COPD | 15 | 16 | 12 | 0.1050 |
Bronchial asthma | 2 | 2 | 3 | 0.3601 |
Renal dysfunction | 10 | 11 | 8 | 0.1156 |
NIDDM | 8 | 10 | 5 | 0.0206 |
IDDM | 10 | 11 | 8 | 0.2232 |
Chronic liver disease | 6 | 6 | 4 | 0.2527 |
History of myocardial infarction | 6 | 7 | 4 | 0.0859 |
History of stroke | 5 | 6 | 5 | 0.5533 |
History of cancer | 14 | 15 | 12 | 0.3671 |
Medication on Sepsis Onset [%] | ||||
Statins | 23 | 26 | 19 | 0.0234 |
Beta-blocker | 37 | 37 | 36 | 0.9559 |
ACE inhibitor | 29 | 32 | 23 | 0.0097 |
Bronchodilator | 10 | 10 | 10 | 0.8481 |
Diuretics | 33 | 35 | 30 | 0.2007 |
Anticoagulation during the last 6 months | 26 | 27 | 23 | 0.2449 |
Recent Surgical History [%] | ||||
Elective surgery | 27 | 26 | 30 | |
Emergency surgery | 52 | 53 | 50 | 0.5379 |
No surgery | 21 | 21 | 20 | |
Site of Infection [%] | ||||
Lung | 63 | 67 | 56 | |
Abdomen | 19 | 17 | 22 | |
Bone or soft tissue | 4 | 3 | 5 | |
Surgical wound | 2 | 1 | 2 | 0.0838 |
Urogenital | 2 | 2 | 4 | |
Primary bacteremia | 6 | 6 | 5 | |
Other | 4 | 4 | 6 |
In the studied cohort, male patients presented a higher body mass index at enrollment (28 ± 7) compared to female patients (27 ± 7; p = 0.0062). Furthermore, male patients appeared to have NIDDM more often (10%) than female patients (5%; p = 0.0206) and more frequently received statins (26% vs. 19%; p = 0.0234) and ACE inhibitors (32% vs. 23%; p = 0.0097) as long-term medications at baseline.
There were no significant differences in severity, recent surgical history or the site of infection between the two groups at sepsis onset.
3.2. Survival Analyses
The observed 28- and 90-day mortality rates were higher in male patients (22% and 32%, respectively) than in female patients with sepsis (19% and 30%, respectively) in the studied cohort (see Figure 1 and Figure 2). However, the differences in mortality did not have statistical significance in the performed log-rank Kaplan-Meier survival analyses (p = 0.2858 and p = 0.5903; see Figure 1 and Figure 2).
Accordingly, male patients presented a higher 28- and 90-day mortality in septic shock (31% and 43%) compared to female patients (27% and 40%; see Figure 3 and Figure 4). Neither of these findings was significant in the log-rank Kaplan-Meier survival analyses (p = 0.4035 and p = 0.5750, see Figure 3 and Figure 4).
3.3. Disease Severity Analysis
The results of the disease severity analyses of patients with sepsis and septic shock stratified by sex can be obtained from Table 2 and Table 3.
Table 2.
Characteristics | All (n = 737) |
Male (n = 484) |
Female (n = 253) |
p-Value |
---|---|---|---|---|
Sepsis Severity | ||||
SOFA score | 7.2 ± 3.7 | 7.4 ± 3.6 | 6.9 ± 3.8 | 0.0265 |
Days in septic shock | 1 (0, 2) | 0 (0, 2) | 1 (0, 2) | 0.1087 |
ICU length of stay | 21 ± 16 | 20 ± 15 | 21 ± 19 | 0.6748 |
Hospital length of stay | 39 ± 29 | 40 ± 30 | 37 ± 27 | 0.5416 |
Inflammatory Values | ||||
Leukocytes [1000/µL] | 13.2 ± 5 | 13.1 ± 5.1 | 13.6 ± 4.9 | 0.1291 |
C-reactive protein [mg/L] (n = 380) | 150.9 ± 85.7 | 153.9 ± 86,2 | 144 ± 84.3 | 0.3088 |
Procalcitonin [ng/dL] (n = 657) | 1 (0.3, 3.4) | 1 (0.3, 3.7) | 0.8 (0.3, 2.8) | 0.1571 |
Respiratory Values | ||||
SOFA respiratory subscore | 2.0 ± 0.8 | 2.0 ± 0.8 | 1.9 ± 0.8 | 0.0091 |
Ventilated days | 11 ± 8 | 11 ± 8 | 11 ± 9 | 0.2803 |
Patients with mechanical ventilation [%] | 94 | 94 | 93 | 0.4787 |
Ventilation days/observation days [%] | 68 ± 32 | 69 ± 31 | 66 ± 32 | 0.2674 |
Coagulation | ||||
SOFA coagulation subscore | 0 (0, 0.5) | 0 (0, 0.5) | 0 (0, 0.5) | 0.2398 |
Thrombocytes [1000/µL] | 292 ± 150 | 293 ± 154 | 290 ± 141 | 0.7498 |
Liver Values | ||||
SOFA hepatic subscore | 0 (0, 0.4) | 0 (0, 0.5) | 0 (0, 0.3) | 0.1423 |
Bilirubin [mg/dL] | 0.6 (0.4, 1.1) | 0.7 (0.5, 1.2) | 0.5 (0.4, 0.9) | <0.001 |
AST [IU/L] (n = 483) | 57 (35, 112) | 58 (35, 112) | 56 (32, 110) | 0.8264 |
ALT [IU/L] (n = 713) | 46 (23, 92) | 47 (23, 88) | 43 (22, 100) | 0.3322 |
Cardiovascular Values | ||||
SOFA cardiovascular subscore | 1.6 ± 1 | 1.6 ± 1 | 1.7 ± 1.1 | 0.7080 |
Vasopressor days | 4 (1, 8) | 4 (2, 8) | 4 (1, 8) | 0.9163 |
Patients with vasopressor treatment [%] | 81 | 81 | 82 | 0.6856 |
Vasopressor days/observation days [%] | 29 (11, 57) | 29 (11, 56) | 31 (11, 57) | 0.5938 |
Central Nervous System | ||||
SOFA central nervous system | 2.1 ± 1.1 | 2.1 ± 1.1 | 2.1 ± 1.1 | 0.9434 |
Glasgow Coma Scale (GCS) | 10 ± 3 | 10 ± 3 | 10 ± 3 | 0.9965 |
Renal Values | ||||
SOFA renal subscore | 0.2 (0, 1.2) | 0.3 (0, 1.4) | 0 (0, 0.8) | <0.001 |
Creatinine [mg/dL] | 1.2 ± 0.9 | 1.4 ± 1 | 0.9 ± 0.6 | <0.001 |
Urine output [mL/d] | 2904 ± 1341 | 2878 ± 1334 | 2954 ± 1357 | 0.3841 |
Urine output [mL/kg/d] | 1.5 ± 0.8 | 1.4 ± 0.7 | 1.7 ± 0.9 | <0.001 |
Dialysed days | 0 (0, 0) | 0 (0, 0) | 0 (0, 0) | 0.2947 |
Patients with renal replacement therapy [%] | 22 | 24 | 19 | 0.1078 |
Dialysis days/observation days [%] | 0 (0, 0) | 0 (0, 0) | 0 (0, 0) | 0.2348 |
Table 3.
Characteristics | All (n = 373) |
Male (n = 237) |
Female (n = 136) |
p-Value |
---|---|---|---|---|
Sepsis Severity | ||||
Sequential Organ Failure Assessment (SOFA) | 9 ± 3.9 | 9.2 ± 3.8 | 8.7 ± 4 | 0.1264 |
Days in septic shock | 2 (1, 3) | 2 (1, 3) | 2 (1, 4) | 0.1425 |
ICU length of stay | 24 ± 19 | 23 ± 16 | 25 ± 24 | 0.9666 |
Hospital length of stay | 42 ± 31 | 43 ± 31 | 40 ± 31 | 0.4649 |
Inflammatory Values | ||||
Leukocytes [1000/µL] | 13.9 ± 5.5 | 13.8 ± 5.7 | 14.2 ± 5.2 | 0.3576 |
C-reactive protein [mg/L] (n = 219) | 156 ± 79 | 160 ± 79 | 147 ± 78 | 0.2204 |
Procalcitonin [ng/dL] (n = 352) | 1.8 (0.7, 5.9) | 2.2 (0.9, 6.1) | 1.4 (0.5, 5.4) | 0.0804 |
Respiratory Values | ||||
SOFA respiratory subscore | 2.2 ± 0.7 | 2.3 ± 0.8 | 2.1 ± 0.7 | 0.1089 |
Ventilated days | 13 ± 9 | 13 ± 9 | 13 ± 9 | 0.9130 |
Patients with mechanical ventilation [%] | 97 | 97 | 96 | 0.8788 |
Ventilation days/observation days [%] | 74 ± 29 | 75 ± 29 | 73 ± 30 | 0.8123 |
Coagulation | ||||
SOFA coagulation subscore | 0.2 (0, 0.9) | 0.2 (0, 1) | 0.3 (0, 0.9) | 0.9773 |
Thrombocytes [1000/µL] | 251 ± 142 | 257 ± 154 | 240 ± 118 | 0.7232 |
Liver Values | ||||
SOFA hepatic subscore | 0.1 (0, 1) | 0.1 (0, 0.9) | 0.1 (0, 1) | 0.6701 |
Bilirubin [mg/dL] | 0.8 (0.5, 1.6) | 0.8 (0.5, 1.6) | 0.7 (0.4, 1.7) | 0.1118 |
AST (GOT) [IU/L] (n = 291) | 69 (40, 140) | 71 (41, 160) | 67 (38, 121) | 0.6234 |
ALT (GPT) [IU/L] (n = 362) | 44 (22, 101) | 49 (25, 98) | 37 (19, 106) | 0.0964 |
Cardiovascular Values | ||||
SOFA cardiovascular subscore | 2.1 ± 1 | 2.1 ± 1 | 2.1 ± 1 | 0.7594 |
Vasopressor days | 8 ± 6 | 8 ± 6 | 9 ± 7 | 0.7382 |
Patients with vasopressor treatment [%] | 100 | 100 | 100 | 1.0 |
Vasopressor days/observation days [%] | 52 ± 30 | 51 ± 30 | 53 ± 30 | 0.5564 |
Central Nervous System | ||||
SOFA central nervous system | 2.3 ± 1 | 2.3 ± 1 | 2.3 ± 1 | 0.8255 |
Glasgow Coma Scale (GCS) | 9 ± 3 | 9 ± 3 | 9 ± 3 | 0.9277 |
Renal Values | ||||
SOFA renal subscore | 0.6 (0.1, 2) | 0.8 (0.2, 2.3) | 0.3 (0, 1.3) | 0.0021 |
Creatinine [mg/dL] | 1.4 ± 1 | 1.6 ± 1 | 1.1 ± 0.7 | <0.001 |
Urine output [mL/d] | 2661 ± 1540 | 2661 ± 1549 | 2661 ± 1531 | 0.9924 |
Urine output [mL/kg/d] | 1.4 ± 0.8 | 1.3 ± 0.8 | 1.5 ± 0.9 | 0.0326 |
Dialysed days | 0 (0, 4) | 0 (0, 4) | 0 (0, 3) | 0.1682 |
Patients with renal replacement therapy [%] | 39 | 43 | 32 | 0.0503 |
Dialysis days/observation days [%] | 0 (0, 28) | 0 (0, 33) | 0 (0, 18) | 0.1027 |
During the course of disease in sepsis, male patients presented significantly higher average SOFA scores (7.4 ± 3.6) than female patients (6.9 ± 3.8; p = 0.0265), higher organ-specific respiratory (2.0 ± 0.8 vs. 1.9 ± 0.8; p = 0.0091) and renal (0.3 vs. 0; p = < 0.001) SOFA subscores, as well as higher values of serum bilirubin (0.7 vs. 0.5; p = < 0.001), serum creatinine (1.4 ± 1 vs. 0.9 ± 0.6; p = < 0.001) and a lower urine output per kilogram per day (1.4 ± 0.7 vs. 1.7 ± 0.9; p = < 0.001, see Table 2).
Similar results were observed in patients with septic shock (s. Table 3). In this subcohort, male patients appeared to have significantly higher SOFA renal subscores (0.8 vs. 0.3; p = 0.0021), serum creatinine (1.6 ± 1 vs. 1.1 ± 0.7; p = < 0.001) and a lower urine output per kilogram per day (1.3 ± 0.8 vs. 1.5 ± 0.9; p = 0.0326) compared to the female study participants, accordingly.
3.4. Multivariate Cox Proportional Hazards Regression Analysis
We chose to input the sex, age and relevant variables from the patient baseline characteristics (BMI, NIDDM, statins and ACE inhibitor) into the multivariate Cox proportional hazards regression model (see Table 4 and Table 5). It revealed no significant relations between the male sex and 28- or 90-day mortality, neither in patients with sepsis (HR: 1.25, 95%-CI: 0.89–1.76, p = 0.2012 for 28-day mortality; HR: 1.09, 95%-CI: 0.83–1.44, p = 0.5236 for 90-day mortality) nor patients with septic shock (HR: 1.25, 95%-CI: 0.84–1.87, p = 0.2699 for 28-day mortality; HR: 1.15, 95%-CI: 0.82–1.6, p = 0.4142 for 90-day mortality). Except for age (HR: 1.04, 95%-CI: 1.02–1.05, p = < 0.001 for patients with sepsis; HR: 1.03, 95%-CI: 1.01–1.04, p = < 0.001 for patients with septic shock), none of the other variables were observed to have a significant association with the 28- or 90-day mortality in sepsis or septic shock in the multivariate model.
Table 4.
28-Day Mortality | 90-Day Mortality | |||||
---|---|---|---|---|---|---|
Variables | HR | 95%-CI | p-Value | HR | 95%-CI | p-Value |
Male sex | 1.25 | 0.89–1.76 | 0.2012 | 1.09 | 0.83–1.44 | 0.5236 |
Age | 1.04 | 1.02–1.05 | <0.001 | 1.04 | 1.02–1.05 | <0.001 |
BMI | 0.98 | 0.95–1.01 | 0.1439 | 1 | 0.97–1.02 | 0.7119 |
NIDDM | 1.13 | 0.64–2.02 | 0.6702 | 0.99 | 0.64–1.55 | 0.9748 |
Statins | 0.73 | 0.49–1.08 | 0.1120 | 0.84 | 0.62–1.16 | 0.2897 |
ACE inhibitor | 1.05 | 0.73–1.5 | 0.7996 | 1.04 | 0.78–1.4 | 0.7868 |
Table 5.
28-Day Mortality | 90-Day Mortality | |||||
---|---|---|---|---|---|---|
Variables | HR | 95%-CI | p-Value | HR | 95%-CI | p-Value |
Sex | 1.25 | 0.84–1.87 | 0.2699 | 1.15 | 0.82–1.6 | 0.4142 |
Age | 1.03 | 1.01–1.04 | <0.001 | 1.03 | 1.01–1.04 | <0.001 |
BMI | 0.97 | 0.93–1 | 0.0753 | 0.99 | 0.97–1.01 | 0.3743 |
NIDDM | 0.94 | 0.5–1.78 | 0.8483 | 1 | 0.58–1.73 | 0.9893 |
Statins | 0.79 | 0.49–1.28 | 0.3437 | 0.92 | 0.62–1.36 | 0.6684 |
ACE inhibitor | 1.11 | 0.71–1.73 | 0.6454 | 1.12 | 0.78–1.62 | 0.5665 |
4. Discussion
The impact of sex on sepsis and septic shock is not fully understood, and the results from other cohorts remain controversial. This study aimed to explore the association of sex with mortality and organ dysfunction in a large, clearly defined, prospective single-center cohort of patients with sepsis and septic shock.
Our observational cohort study found no significant differences in 28- and 90-day mortality between male and female study participants. However, men showed significantly higher SOFA scores, including SOFA respiratory and renal subscores, as well as elevated serum bilirubin and creatinine values, and a lower urine output per kilogram per day, suggesting higher organ dysfunction compared to women with sepsis. Similarly, male patients with septic shock had higher SOFA renal subscores and serum creatinine levels and a significantly lower urine output per kilogram per day compared to female patients. Thus, despite the absence of significant differences in mortality between both sexes, our study revealed a significantly increased organ dysfunction, as measured by the organ-specific SOFA scores, including the SOFA respiratory and renal subscores, as well as elevated levels of bilirubin and creatinine in male patients.
Our findings are consistent with some of the previous studies, which have reported no significant differences in mortality between male and female patients with sepsis [11,22,23]. For instance, a post hoc analysis of 3902 patients from 24 participating medical and surgical ICUs in Italy by Sakr et al. (2013) reported a similar ICU mortality in men and women (20.1% vs. 19.8%) [11]. Another study, by van Vught et al. (2017), also reported no differences in the 90-day mortality and mortality up to 1 year after an ICU admission between men and women in 1533 patients with sepsis [23].
However, our findings contrast with other studies that have reported better outcomes in female patients with sepsis [10,24]. For example, Xu et al. (2019) conducted a retrospective analysis of 6134 adult patients with sepsis and found that female patients had lower rates of 1-year, 90-day and in-hospital mortality, as well as shorter hospital stays than male patients [10]. Similarly, a large prospective cohort study by Thompson et al. (2022), involving 12,912 sepsis hospitalizations in Australia, reported that female patients with sepsis had lower 1-year mortality rates and shorter hospital and ICU stays than male patients [24]. To the best of our knowledge, a comprehensive evaluation of mortality and organ dysfunction differences, specifically between male and female patients during septic shock, according to the currently valid definitions, has not been documented in the existing literature.
Our findings of sex-specific differences in disease severity of sepsis and septic shock, specifically in the respiratory and renal SOFA subscores, serum creatinine levels and urine output, align with existing studies. A study of 18,757 ICU patients conducted by Pietropaoli et al. (2010) revealed that female patients were less likely to receive invasive mechanical ventilation or hemodialysis catheters compared to men [13]. Furthermore, Modra et al. (2022) reported in a systematic review and meta-analysis of 545,538 ICU patients that women were less likely to receive invasive mechanical ventilation or renal replacement therapy [25]. However, Peng et al. (2022) found no significant association between sex and the incidence of sepsis-associated acute kidney injury (SA-AKI) in 6463 patients [26].
There are several reasons that underlie these contradictory results. The inadequate adjustment for preexisting comorbidities, disease severity or other silent confounders, as well as selective study populations (medical vs. surgical vs. mixed ICU patients) and different study methods (prospective vs. retrospective vs. database analyses), are only a few reasons to name [27].
However, these inconclusive results do not necessarily disprove the notion that sex affects the pathophysiology of sepsis. Instead, these findings indicate that sex-based variations in sepsis mortality and associated organ dysfunction may not be observed in every patient population or environment. Therefore, studies are needed to elucidate the underlying biological and molecular mechanisms.
Several mechanisms have been proposed to explain the potential protective effect of female sex on sepsis outcomes. There is emerging evidence to suggest that women may have advantageous immunological responses due to the influence of their sexual hormones [28,29]. Contrarily to female sex hormones, which may exhibit protective effects during critical illness, male sex hormones may be deleterious by the effect of a diminished cell-mediated immune response [30]. Specifically, male sex hormones such as androgens have been reported to have a suppressive effect on the cell-mediated immune response [30]. As investigated in animal models, sexual immunomodulation, i.e., testosterone depletion or estrogen supplementation, affects the release of pro-inflammatory and anti-inflammatory cytokines, which are linked to multiorgan failure, and may result in beneficial outcomes in sepsis [30,31]. Additionally, ischemia-reperfusion injury is a common cause of AKI, and experimental studies suggest that sex hormones are involved in the regulation of cellular pathways of this injury and may therefore contribute to AKI susceptibility [26,32,33]. Furthermore, recently investigated biomarkers of mortality, such as free light chains (FLCs) or serum high mobility group box 1 (HMGB1), may serve as important parameters that reflect inflammation and immune dysfunction in CKD and AKI patients [34,35].
There are several limitations to this study that must be taken into consideration when interpreting the results. Due to the prospective and single-center setting of our study cohort, the sample size was relatively small, which may limit the generalizability of the findings. On the other hand, this study comprises a relatively homogenous cohort of sepsis patients from three surgical ICUs using clearly defined inclusion criteria and recording a large number of comorbidities, preexisting medications and clinical follow-up parameters. The findings may not be generalizable to cohorts from mixed or medical ICUs. The extraction and investigation of further biomarkers, cytokines and other organ-specific function parameters, as well as the assessment of long-term outcomes, would have been of great interest and would improve the quality of the present study.
In conclusion, our study found no significant differences in mortality between male and female patients with sepsis and septic shock; however, male patients presented higher organ dysfunction scores and parameters than female patients. These findings are consistent with some previous studies but in contrast to others. Further studies are needed to elucidate the potential underlying mechanisms and therapeutic implications of sex-specific differences in mortality and sepsis-associated organ dysfunction.
Author Contributions
Conceptualization, C.M., B.B., J.H., M.Q. and A.M.; Data curation, C.M., J.R., C.B., B.B., J.H. and A.M.; Formal analysis, C.M., J.R., C.B. and A.M.; Funding acquisition, J.H. and A.M.; Investigation, C.M., J.R., C.B., B.B., M.Q. and A.M.; Methodology, C.M., B.B., J.H., M.Q. and A.M.; Project administration, C.M., J.R., C.B., B.B., J.H., M.Q. and A.M.; Resources, J.H., M.Q. and A.M.; Software, J.H.; Supervision, B.B., J.H., M.Q. and A.M.; Validation, B.B.; Visualization, C.M., J.R. and C.B.; Writing—original draft, C.M., J.R., C.B. and A.M.; Writing—review and editing, B.B., J.H. and M.Q. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Ethics Committee of the University of Göttingen, Germany (protocol code 1/15/12).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study. Written informed consent was obtained from the patients or legal representatives to publish this paper.
Data Availability Statement
The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
Funding Statement
This research was funded by Volkswagen Stiftung, grant number ZN3168. We acknowledge support from the Open Access Publication Funds of Göttingen University.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.