Each year, a substantial number of patients worldwide still require major abdominal surgery, despite advancements in non-surgical treatments. Estimates suggest that approximately 234 million major surgeries, including abdominal procedures, are performed globally each year, with abdominal operations being among the most common for indications such as colorectal, liver and pancreatic cancer, and gastrointestinal bleeding.1,2 By definition, these procedures are long in duration, require prolonged, often multiple-day hospital stays, and are associated with high 30-day morbidity rates.3 Although modern surgical techniques and increased perioperative safety measures have led to reduced mortality,4 postoperative complications after major abdominal surgery remain frequent occurrences.5,6 These complications have both short- and long-term implications, including increased 30-day mortality, longer hospital stays, and higher readmission rates.7–9 Moreover, previous research has shown a significant and sustained negative effect on quality of life after surgery, with worse outcomes after more severe complications.10
Postoperative complications also have a significant financial impact on the healthcare system as a whole.11
To understand the entire impact of postoperative complications that develop after major gastrointestinal surgery, it is important to identify and categorize both short-term and long-term outcomes. For example, Khuri et al reported that the development of postoperative complications of any type after major abdominal surgery resulted in decreased 30-day survival rates.12 Notably, median survival was reduced by 69%, independent of preoperative risk. Several other studies confirmed this finding and highlighted the overall impact of postoperative complications on long-term survival in patients undergoing abdominal surgery.13–16 However, the existing literature focuses primarily on specific abdominal procedures;13–15 only one of the aforementioned studies addressed the impact of postoperative complications on major abdominal surgery overall.16 Further, major gastrointestinal surgeries, such as colorectal, pancreatic, and liver resections can be associated with higher complication rates compared to other abdominal procedures like prostatectomy or nephrectomy.13–16
To address this knowledge gap and provide important insight into the impact of postoperative complications on long-term survival in patients undergoing major gastrointestinal surgery, we conducted a retrospective cohort study focused on this patient population. We hypothesize that the development of any postoperative complications is associated with decreased long-term survival, with both the number and severity of complications having a greater impact overall, even after adjusting for variables that may be independently associated with worse outcomes such as increasing age, comorbidities, malignancy, emergency surgery, and type of surgery.
Materials and Methods Study DesignA single-center retrospective cohort study was conducted at the Austin Health Hospital in Melbourne, Australia. Ethics approval was granted by the Austin Health Human Research Ethics Committee (HREC/107644/Austin-2024). The study protocol was registered with the Australian New Zealand Clinical Trials Registry (ACTRN: 12624000793516). Formal patient consent for access to individual medical records was not required, as determined by the ethics committee. The waiver of consent was granted on the basis that the study was retrospective in nature, involved no direct patient contact, and posed minimal risk to participants. All data were de-identified prior to analysis, and the study adhered to institutional protocols for the protection of patient confidentiality as well as the ethical principles outlined in the Declaration of Helsinki. The Strengthening the Reporting of Cohort Studies in Surgery (STROBE) guidelines were followed in reporting this study.17 Adult patients aged 18 years or older who underwent elective and emergency open or laparoscopic major gastrointestinal cancer and non-cancer surgery at the Austin Hospital between July 2010 and April 2022 were included in the study. Surgeries involving the retroperitoneal space, such as nephrectomy, radical prostatectomy, adrenalectomy, and surgery on the aorta and the caudal vena cava, were excluded.
Key ObjectivesThe primary aim of this study was to evaluate the unadjusted relationship between differences in survival among patients with and without postoperative complications. The secondary aim was to investigate the relationship between the severity, number of complications, and long-term survival. Finally, the effects of postoperative complications on overall mortality were evaluated, adjusting for clinical variables known to be associated with reduced long-term survival, such as age, comorbidity burden, sex, malignancy, and anemia.
Data CollectionData were retrospectively collected from medical records accessed from the Austin Health database and the Cerner health information system. Preoperative data included patient characteristics, smoking history within 1 year of surgery, alcohol use disorder, preoperative hemoglobin values, American Society of Anesthesiologists (ASA) score,18 age-adjusted Charlson Comorbidity Index (CCI),19 malignancy diagnosis, indication for surgery, and urgency of surgery (elective or emergency). Intraoperative data included surgical procedure, surgical technique (open or laparoscopic), operating theater time, and perioperative use of any blood products. Postoperative data included length of hospital stay, postoperative hemoglobin concentrations, postoperative intensive care unit (ICU) admissions, 30-day readmissions, unplanned readmissions, the nature of any complications that developed, and patient mortality. Mortality data were collected from the date of surgery up until August 2024 and independently cross-checked by two authors. The date and cause of death were also reported. Survival time was measured in days from the date of surgery to the date of death or last follow-up.
DefinitionsMajor gastrointestinal surgery was defined as an intraperitoneal operation lasting at least two hours without primary involvement of the thorax that involved either luminal resection or resection of a solid organ associated with the gastrointestinal tract and requiring at least a two-night postoperative hospital stay. This definition was based on a combination of recent literature and expert opinion.20
The length of hospital stay was defined as the number of days from the date of the patient’s surgery to the date of discharge. Thirty-day readmission was defined as rehospitalization for any reason within 30 days of discharge. Perioperative complications were defined according to the European Perioperative Clinical Outcome definitions.21 Complications were graded by severity using the Clavien-Dindo Classification (CDC) system.22 If a patient developed multiple postoperative complications, the highest CDC grade was reported. In-hospital mortality within 30 days was documented as a CDC Grade V complication. The Combined Complication Index was defined as the sum of all complications, with each complication weighted based on its severity.23 Causes of death were categorized as follows: death related to primary cancer; death related to an unrelated cancer; death unrelated to cancer; and unknown.
Statistical AnalysesStatistical analyses were performed using R version 4.4.1 (R Core Team, Vienna, Austria, 2024). Variables with missing rates exceeding 5% were identified, and missing data patterns were analyzed. Among the variables with a missing rate over 5%, CCI and postoperative ICU admissions were considered as adjusting variables for survival analysis. Based on the visual inspection of the missing pattern plot, these did not exhibit any noticeable or unexpected deviations in their missing data patterns compared to other variables. Following this assessment, statistical analyses were performed excluding the missing cases for the analysis.
Continuous variables were assessed for normality using Shapiro’s test and visualized using Q-Q plots. Descriptive statistics were presented as means ± standard deviations (SD), median (interquartile ranges (IQR): first-third quartiles), or frequencies (percentages), as appropriate. Inferential statistics were presented with a 95% confidence interval (95% CI). Outliers were identified using the two-fold IQR rule. To ensure data integrity, three authors independently reviewed all statistical outliers, comparing each identified outlier against the original data sources. Data points that aligned with the established clinical context were retained for analysis, while those deemed inconsistent with clinical relevance were excluded.
Kaplan-Meier analysis was used to assess the long-term survival of the patient cohorts. The proportional hazards assumption was assessed using a log-minus-log plot, and Log-rank or Gehan-Breslow-Wilcoxon tests were performed to compare survival between groups with postoperative complications based on the assumption test results. Pairwise comparisons were performed using the Peto-Peto-Prentice test, with P-values adjusted using the Bonferroni method.
The adjusted effects of postoperative complications on overall mortality were evaluated using Cox proportional hazards regression. Pearson’s and Spearman correlation analyses were conducted according to the characteristics of variables, and their clinical relevance was determined based on prior literature. Each factor was initially evaluated using a univariate model, and those with a significant hazard ratio (HR) were included in the multivariate model. The proportional hazards assumption of the Cox regression model was tested using Schoenfeld residuals. In cases where this assumption was violated, the affected variables were addressed by stratification or incorporating time-dependent covariates. For the time-dependent covariate approach, a Cox regression model was implemented using a step function to partition the observation period into intervals. These intervals were determined based on changes in the coefficients observed in the Schoenfeld residual plots. Multicollinearity was tested by checking the variance inflation factors and correlation coefficients between variables included in the estimated Cox regression models. All analyses were conducted using the R package “survival”.24 Comparative results are accompanied by P-values and corresponding effect sizes, while statistical significance was defined as a two-sided P-value of <0.05.
Results Baseline CharacteristicsAmong the 1989 patients who underwent major gastrointestinal surgery from July 2010 to April 2022, the median (IQR) age was 64 years (53–74), and 41.8% of patients were female. The median (IQR) age adjusted Charlson Comorbidity Index score was 7 (4–10). A diagnosis of malignancy was present in 1253 patients (63.0%). Most patients (73%) underwent elective surgery. Baseline patient characteristics and peri- and postoperative variables are presented in Table 1. Overall, 74.6% (95% CI 72.6–76.5%) developed one or more postoperative complications. Among those with complications, almost 1 in 4 (24.5%) patients developed a major complication (CDC grade >III). A detailed summary of the number and severity of complications is summarized in Table 2. The baseline characteristics of patients having minor (CDC Grades I and II) and major (CDC Grades >III) complications is presented in Supplementary Table S1.
Table 1 Baseline Characteristics
Table 2 Postoperative Complications
Unadjusted Associations Between Complications and MortalityThe overall mortality rate in this cohort was 29.4% (95% CI 27.4–31.5%). The mean observation period was 7.0 ± 3.47 years, with a maximum follow-up of 14.1 years. The one-, two- and five-year mortality rates were 7.8% (95% CI 6.7–9.1%), 13.6% (95% CI 12.1–15.2%), and 23.0% (95% CI 21.2–24.9%), respectively. The overall mortality rate of patients who developed no postoperative complications was 21.7% (95% CI 18.3–25.6%) compared to 32.0% (95% CI 29.7–34.5%) in patients with one or more complications (P<0.001; Figure 1). Patients with severe complications (CDC Grades >III) had a mortality rate of 47.7% (95% CI 42.4–52.9%) (P<0.001, Gehan-Breslow test; Figure 2).
Figure 1 Kaplan-Meier Curves Documenting Survival, Patients Grouped by Complication.
Note: P<0.001, Log Rank test.
Figure 2 Kaplan-Meier Curves Documenting Survival, Patients Grouped by Clavien-Dindo Grade (CDC).
Note: P<0.001, Gehan-Breslow test.
Kaplan-Meier curves showed that the estimated survival for 80% of patients was 91 months (95% CI 11–35 months) for those who developed no postoperative complications, 55 months (95% CI 45–66 months) for patients with CDC Grade I/II complications, and 10 months (95% CI 6–19 months) for patients with CDC Grade >III complications (P<0.001; Figure 2). Patients with more than five postoperative complications had a significantly worse survival than patients with fewer complications (P<0.001; Figure 3). The association between mortality and the number of complications, and major and minor complications, stratified by the type of surgery, are summarized in Supplementary Tables S2 and S3.
Figure 3 Kaplan-Meier Curves Documenting Survival, Patients Grouped by Number of Complications.
Note: P<0.001, Gehan-Breslow test.
Adjusted Effects of Postoperative Complications on MortalityCorrelation analyses demonstrated a weak linear relationship between the age-adjusted CCI and overall mortality (Spearman correlation coefficient ρ=0.36, P<0.001; Supplementary Table S4). Similarly, weak linear correlations were observed between the ASA score (ρ=0.24, P<0.001) and the age-adjusted CCI (ρ=0.26, P<0.001) with overall mortality. To minimize the risk of overfitting due to the inclusion of two broadly similar risk scores, the ASA score was excluded from the final analysis. Other variables that were considered clinically relevant to mortality were also selected.25,26 The following variables were selected for adjustment in the final analysis: sex, age-adjusted CCI, alcohol use disorder, preoperative anemia, perioperative transfusion, type of surgery, emergency surgery, and a diagnosis of malignancy.
Cox regression analyses were performed to assess the impact of postoperative complication occurrence (Table 3), complication severity (Table 4), and the number of complications (Supplementary Table S5) as stratified and time-dependent covariate models, based on the results of the proportional hazards assumption test. The observation period was divided into three segments for analysis: up to 18 months, 18 months to 5 years, and more than 5 years following the completion of the procedure. This approach allowed for a detailed evaluation of the temporal relationship between complications and long-term outcomes.
Table 3 Univariate, Multivariate, Time-Dependent Coefficient Cox Regression Analysis on the Presence of Any Postoperative Complications
Table 4 Univariate, Multivariate, Time-Dependent Coefficient Cox Regression Analysis on the Severity of Postoperative Complications
As shown in Table 3, within the first 18 months post-surgery, patients who developed any complication demonstrated a significantly increased HR for mortality of 2.26 (95% CI 1.24–4.15, P=0.008). As indicated in Table 4, the risk was markedly higher for those experiencing CDC Grade >III complications, with an HR of 15.01 (95% CI 6.83–33.00, P<0.001). Over the entire observation period, patients who developed more than five complications exhibited a sustained elevated risk of mortality, with an HR of 1.56 (95% CI 1.11–2.09, P=0.010). The relationship between mortality and complication severity classified by Clavien-Dindo grade, stratified by the type of surgery, is detailed in Table 5.
Table 5 Mortality and the Severity of Complication, by Clavien-Dindo Grade
DiscussionIn this retrospective cohort study of 1989 patients who underwent major gastrointestinal surgery, we investigated the impact of postoperative complications on long-term survival. The overall complication rate was 74.6%, and the development of one or more complications was associated with a reduction of more than two years in the estimated 80% survival time compared to patients without complications. After adjusting for confounding factors, including age, malignancy, comorbidities, emergency surgery, and procedure type, we identified a significant and independent association between the development of any postoperative complication and increased mortality within the first 18 months following surgery. Furthermore, the severity (CDC grade) and number of complications showed a cumulative effect on mortality risk, emphasizing their critical role in determining survival outcomes. These findings corroborate our initial hypothesis and highlight the need for strategies to mitigate their occurrence and severity.
Our findings align with previous studies demonstrating the negative impact of postoperative complications on long-term survival.13–15 For example, Khuri et al reported a 69% reduction in median survival in patients who experienced one or more postoperative complications, independent of pre-operative risk. However, their cohort included a wide variety of surgical interventions, including non-abdominal procedures, which likely contributed to a lower 30-day complication rate of 3.07%, compared to our cohort.12 In contrast, Straatman et al, who specifically examined major gastrointestinal surgeries, reported a 42.4% postoperative complication rate among 861 patients undergoing elective surgery, with the greatest survival impact observed in upper gastrointestinal procedures.16 Similarly, the higher complication rate in our cohort (74.6%) likely reflects differences in demographics, a higher burden of comorbidities, longer surgical durations, the inclusion of emergency procedures, and a greater reliance of open surgical approaches. These factors demonstrate the complexity of managing high-risk surgical patients. Postulated mechanisms for a reduced long-term survival following surgery include activation of endogenous inflammatory pathways from the increased surgical stress, potentially promoting the growth of residual malignant cells.27 This inflammatory response may be exacerbated by postoperative complications, further contributing to cancer recurrence, and adversely affecting long-term survival.28,29 Li et al examined the relationship between Clavien-Dindo classification and long-term survival outcomes after curative resection for gastric cancer.30 In this propensity score-matched analysis, the authors reported a lower overall complication rate of 13.3%, with most patients classified as CDC Grade II. They also found that CDC Grade III and IV complications significantly reduced survival following gastric resections with HRs of 2.004 (95% CI 1.503–2.672), and 2.694 (95% CI 1.847–3.393), respectively (P<0.001). Both, Straatman et al and Li et al suggest that patients with CDC Grade III/IV/V complications face a higher risk of reduced long-term survival.16,30 These results are consistent with our findings, although our study observed a higher HRs (14.45) for patients with severe complications, further emphasizing the detrimental impact of severe postoperative complications on long-term survival in this important patient population.
By examining the impact of both severity and number of complications, our study advocates for a more comprehensive approach to assessing postoperative outcomes. While previous studies have primarily focused on the presence or absence of complications, our findings indicate that their cumulative effect can significantly impact long-term survival. Viewing complications as factors influencing both short-term and long-term outcomes reinforces the importance of developing and implementing effective preventive strategies.
This study has several strengths. With 1989 patients, it represents one of the largest investigations to date on this topic. The detailed analysis of a relatively homogeneous population undergoing major gastrointestinal surgery enhances the robustness and generalizability of our findings. By leveraging the validated CDC system to examine the relationship between complication severity and mortality, this study provides a comprehensive and reliable assessment of postoperative survival. Additionally, its focus on long-term outcomes addresses a critical gap in the literature, offering valuable new insights into the enduring impact of postoperative complications.
However, there are limitations. As a retrospective analysis, the findings are susceptible to selection bias. The exclusion of other surgeries involving the retroperitoneal space, such as nephrectomy, radical prostatectomy, adrenalectomy, and procedures on the aorta and caudal vena cava, limits the generalizability of findings to other abdominal procedures. Moreover, the single-centre nature of this study restricts its applicability to different healthcare settings. Although, we adjusted for several confounders, factors such as frailty, socioeconomic status, and nutritional status were not included, which could have influenced survival outcomes.
While we observed a reduction of more than two years in survival among patients with complications, this effect was partially confounded by age-adjusted comorbidities beyond 18 months post-surgery. Lastly, the conduct of this study overlapped with the global COVID-19 pandemic, which may have influenced both patient pathways and postoperative outcomes. The pandemic disrupted access to elective surgical care, leading in many regions to treatment delays, altered case selection, and prioritization of higher-risk or more urgent procedures. This shift could have influenced the baseline health profile of patients included during the pandemic period, potentially increasing the observed incidence and severity of postoperative complications. Furthermore, perioperative care delivery was subject to significant strain, including reduced staffing, altered protocols for infection control, and limitations on postoperative intensive care availability. These system-level factors may have contributed independently to patient outcomes, thereby introducing unmeasured confounding into our analysis of complication-related survival. Future research is needed to better explore these factors and their impact on long-term postoperative survival outcomes in this patient population.
ConclusionUnderstanding the long-term impact of postoperative complications is essential for advancing perioperative care and improving surgical outcomes. In this large cohort, we demonstrate that postoperative complications after major gastrointestinal surgery are associated with a marked reduction in long-term survival, with progressively worse outcomes in patients experiencing a greater number or more severe events. A novel and important observation of this study is the time-dependent nature of this risk: the excess mortality attributable to complications was most pronounced during the first 18 months following surgery. This early vulnerability underscores the need for targeted strategies to prevent complications and optimize recovery during the immediate postoperative period. Taken together, these findings reinforce the critical importance of complication prevention as a cornerstone of perioperative practice and highlight the potential for improving survival through enhanced perioperative pathways, closer surveillance, and tailored interventions during the high-risk early postoperative phase.
Data Sharing StatementThe data that support the findings of this study are available from the corresponding author upon reasonable request.
Consent for PublicationFormal patient consent for access to individual medical records was not required, as determined by the research ethics committee. The waiver of consent was granted on the basis that the study was retrospective in nature, involved no direct patient contact, and posed minimal risk to participants.
Author ContributionsAll authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
FundingThere is no funding to report.
DisclosureThe authors report no conflicts of interest in this work.
References1. Carney MJ, Weissler JM, Fox JP, Tecce MG, Hsu JY, Fischer JP. Trends in open abdominal surgery in the United States-observations from 9,950,759 discharges using the 2009-2013 national inpatient sample (NIS) datasets. Am J Surg. 2017;214(2):287–292. doi:10.1016/j.amjsurg.2017.01.001
2. Weiser TG, Regenbogen SE, Thompson KD, et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet. 2008;372(9633):139–144. doi:10.1016/S0140-6736(08)60878-8
3. Martin D, Mantziari S, Demartines N, Hubner M; ESA study group. Defining major surgery: a Delphi consensus among European surgical association (ESA) members. World J Surg. 2020;44(7):2211–2219. doi:10.1007/s00268-020-05476-4
4. Finks JF, Osborne NH, Birkmeyer JD. Trends in hospital volume and operative mortality for high-risk surgery. N Engl J Med. 2011;364(22):2128–2137. doi:10.1056/NEJMsa1010705
5. Straatman J, Cuesta MA, Gisbertz SS, Van der Peet DL. Value of a step-up diagnosis plan: CRP and CT-scan to diagnose and manage postoperative complications after major abdominal surgery. Rev Esp Enferm Dig. 2014;106(8):515–521.
6. Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med. 2009;361(14):1368–1375. doi:10.1056/NEJMsa0903048
7. The International Surgical Outcomes Study group. Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries. Br J Anaesth. 2016;117(5):601–609. doi:10.1093/bja/aew316
8. Boltz MM, Hollenbeak CS, Ortenzi G, Dillon PW. Synergistic implications of multiple postoperative outcomes. Am J Med Qual. 2012;27(5):383–390. doi:10.1177/1062860611429612
9. Lawson EH, Hall BL, Louie R, et al. Association between occurrence of a postoperative complication and readmission: implications for quality improvement and cost savings. Ann Surg. 2013;258(1):10–18. doi:10.1097/SLA.0b013e31828e3ac3
10. Downey CL, Bainbridge J, Jayne DG, Meads DM. Impact of in-hospital postoperative complications on quality of life up to 12 months after major abdominal surgery. Br J Surg. 2023;110(9):1206–1212. doi:10.1093/bjs/znad167
11. Armellini A, Chew S, Johnston S, Muralidharan V, Nikfarjam M, Weinberg L. The hospital costs of complications following major abdominal surgery: a retrospective cohort study. BMC Res Notes. 2024;17(1):59. doi:10.1186/s13104-024-06720-z
12. Khuri SF, Henderson WG, DePalma RG, Mosca C, Healey NA, Kumbhani DJ. Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Ann Surg. 2005;242(3):326–343. doi:10.1097/01.sla.0000179621.33268.83
13. Rhodes A, Cecconi M, Hamilton M, et al. Goal-directed therapy in high-risk surgical patients: a 15-year follow-up study. Intensive Care Med. 2010;36(8):417–422. doi:10.1007/s00134-010-1869-6
14. Li Z, Bai B, Zhao Y, et al. Severity of complications and long-term survival after laparoscopic total gastrectomy with D2 lymph node dissection for advanced gastric cancer: a propensity score-matched, case–control study. Int J Surg. 2018;54(Pt A):62–69. doi:10.1016/j.ijsu.2018.04.034
15. Galata C, Blank S, Weiss C, Ronellenfitsch U, Reissfelder C, Hardt J. Role of postoperative complications in overall survival after radical resection for gastric cancer: a retrospective single-center analysis of 1107 patients. Cancers. 2019;11(12):1890. doi:10.3390/cancers11121890
16. Straatman J, Cuesta MA, de Lange–de Klerk ES, van der Peet DL. Long-term survival after complications following major abdominal surgery. J Gastrointest Surg. 2016;20(5):1034–1041. doi:10.1007/s11605-016-3084-4
17. Agha RA, Borrelli MR, Vella-Baldacchino M, Thavayogan R, Orgill DP; STROCSS Group. The STROCSS statement: strengthening the reporting of cohort studies in surgery. Int J Surg. 2017;46:198–202. doi:10.1016/j.ijsu.2017.08.586
18. ASA House of Delegates. ASA physical status classification system. Schaumburg (USA): American Society of Anesthesiologists; c2020. Available from: https://www.asahq.org/standards-and-guidelines/asa-physical-status-classification-system. Accessed October30, 2024.
19. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–383. PMID: 3558716. doi:10.1016/0021-9681(87)90171-8
20. Courtney A, Clymo J, Dorudi Y, Moonesinghe SR, Dorudi S. Scoping review: the terminology used to describe major abdominal surgical procedures. World J Surg. 2024;48(3):574–584. doi:10.1002/wjs.12084
21. Jammer I, Wickboldt N, Sander M, et al. Standards for definitions and use of outcome measures for clinical effectiveness research in perioperative medicine: European perioperative clinical outcome (EPCO) definitions: a statement from the ESA-ESICM joint taskforce on perioperative outcome measures. Eur J Anaesthesiol. 2015;32(2):88–105. doi:10.1097/EJA.0000000000000118
22. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240(2):205–213. doi:10.1097/01.sla.0000133083.54934.ae
23. Slankamenac K, Graf R, Barkun J, Puhan MA, Clavien PA. The comprehensive complication index: a novel continuous scale to measure surgical morbidity. Ann Surg. 2013;258(1):1–7. doi:10.1097/SLA.0b013e318296c732
24. Therneau TM, Grambsch PM. Modeling Survival Data: Extending the Cox Model. Berlin/Heidelberg: Springer Science and Business Media; 2013:350.
25. Moonesinghe SR, Mythen MG, Das P, Rowan KM, Grocott MPW. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: a qualitative systematic review. Anesthesiology. 2013;119(4):959–981. doi:10.1097/ALN.0b013e3182a4e94d
26. Hare GMT, Mazer CD. Anemia: perioperative risk and treatment opportunity. Anesthesiology. 2021;135(3):520–530. doi:10.1097/ALN.0000000000003870
27. Ogawa K, Hirai M, Katsube T, et al. Suppression of cellular immunity by surgical stress. Surgery. 2000;127(3):329–336. doi:10.1067/msy.2000.103498
28. Cata JP, Wang H, Gottumukkala V, Reuben J, Sessler DI. Inflammatory response, immunosuppression, and cancer recurrence after perioperative blood transfusions. Br J Anaesth. 2013;110(5):690–701. doi:10.1093/bja/aet068
29. Cuesta JM, Singer M. The stress response and critical illness: a review. Crit Care Med. 2012;40(12):3283–3289. doi:10.1097/CCM.0b013e31826567eb
30. Li Z, Bai B, Ji G, Li J, Zhao Q. Relationship between Clavien-Dindo classification and long-term survival outcomes after curative resection for gastric cancer: a propensity score-matched analysis. Int J Surg. 2018;60:67–73. doi:10.1016/j.ijsu.2018.10.044
Comments (0)