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Figure 1.  Kaplan-Meier Curve of Patient Survival of Entire Cohort
Kaplan-Meier Curve of Patient Survival of Entire Cohort

Groups with 11 or fewer patients are censored within the risk table. MM indicates multimorbidity; NA, not applicable.

Figure 2.  Kaplan-Meier Curve of Patient Survival Stratified by Disease Subgroup
Kaplan-Meier Curve of Patient Survival Stratified by Disease Subgroup

Groups with 11 or fewer patients are censored within the risk table. MM indicates multimorbidity; NA, not applicable.

Table 1.  Description of the Study Population of Older Adults With Emergency General Surgery Conditions
Description of the Study Population of Older Adults With Emergency General Surgery Conditions
Table 2.  Cox Proportional Hazards Models
Cox Proportional Hazards Models
Table 3.  Cox Proportional Hazards Modeling by Disease Subgroups
Cox Proportional Hazards Modeling by Disease Subgroups
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1 Comment for this article
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Response to “Association of Complex Multimorbidity and Long-term Survival After Emergency General Surgery in Older Patients With Medicare”
Adam Dyas, MD | Department of Surgery, University of Colorado School of Medicine
We would like to commend Ho et. al. for their valuable work on this important topic. They importantly recognize that patient functional status is an undervalued patient factor considered during subjective preoperative risk estimation, which can invariably lead to suboptimal patient understanding of risks and underinformed surgical decision making.

While surgeons may not routinely consider functional status during preoperative risk assessment, several validated surgical risk calculators like the ACS-NSQIP Surgical Risk Calculator(1), the Emergency Surgery Score(2), and the Surgical Risk Preoperative Assessment System (SURPAS)(3) include it as a predictor variable in their models. In fact, when developing SURPAS and
selecting from 28 potential preoperative predictor variables, functional status ranked as the fifth most important predictor of mortality risk, behind only ASA class, systemic sepsis, age, and disseminated cancer(3). These findings further support the role that patient functional status plays on surgical outcomes and demonstrates the value of studying frailty in surgical patients.

Considering that surgeons may overlook functional status, it may be unsurprising that surgeons do not assess patient surgical risk as accurately as validated risk assessment tools. We recently surveyed surgeons to estimate mortality risk based on patient vignettes and compared their estimates to those calculated by SURPAS. We found that surgeon inter-rater reliability was only moderate and that surgeons underpredicted risk of mortality for high-risk patients(4). Patients with poor functional status usually fall into this high-risk patient category, which could explain the gap in accuracy between surgeon risk assessment and risk assessment tools. While the patient vignettes differed from Dr. Ho’s study cohort, we are currently expanding this study into the emergency general surgery population and may have similar findings.

Despite their accuracy, most surgeons do not routinely use standardized risk assessment tools during preoperative patient evaluation. Whether distrust in the tools, a perceived time burden, or lack of more specific risk models contribute to underutilization of these accurate adjuncts remains unclear. However, we believe that this article further highlights the need for surgeons to utilize standardized preoperative risk assessment tools during informed consent. That way, patient understanding of surgical risks can be improved and surgical decision making is more thoroughly informed.

REFERENCES
1. Bilimoria KY, Liu Y, Paruch JL, et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013 Nov;217(5):833-42 e1-3.
2. AlSowaiegh R, Naar L, El Moheb M, et al. The Emergency Surgery Score is a powerful predictor of outcomes across multiple surgical specialties: Results of a retrospective nationwide analysis. Surgery. 2021 Nov;170(5):1501-7.
3. Meguid RA, Bronsert MR, Juarez-Colunga E, Hammermeister KE, Henderson WG. Surgical Risk Preoperative Assessment System (SURPAS): III. Accurate Preoperative Prediction of 8 Adverse Outcomes Using 8 Predictor Variables. Ann Surg. 2016 Jul;264(1):23-31.
4. Dyas AR, Colborn KL, Bronsert MR, et al. Comparison of Preoperative Surgical Risk Estimated by Thoracic Surgeons vs a Standardized Surgical Risk Prediction Tool. Semin Thorac Cardiovasc Surg. 2021 Nov 13.
CONFLICT OF INTEREST: None Reported
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Original Investigation
April 27, 2022

Association of Complex Multimorbidity and Long-term Survival After Emergency General Surgery in Older Patients With Medicare

Author Affiliations
  • 1Division of Trauma, Critical Care, Burn, and Acute Care Surgery, Department of Surgery, MetroHealth Medical Center, Cleveland, Ohio
  • 2Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio
  • 3Department of Sociology, University of Alabama at Birmingham, Birmingham
  • 4Center for Family & Demographic Research, Bowling Green State University, Bowling Green, Ohio
  • 5Department of Surgery, Kettering Health, Kettering, Ohio
  • 6NBBJ Design, Columbus, Ohio
  • 7Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio
JAMA Surg. 2022;157(6):499-506. doi:10.1001/jamasurg.2022.0811
Key Points

Question  Is complex multimorbidity (the co-occurrence of chronic conditions, functional limitations, and geriatric syndromes) associated with long-term survival after admission for emergency general surgery conditions in older patients?

Findings  This cohort study of 1960 community-dwelling patients aged 65 years or older who were admitted with emergency general surgery conditions found that complex multimorbidity, particularly the presence of functional limitations, was associated with an increased risk of death.

Meaning  Findings of this study suggest that complex multimorbidity, particularly functional limitations, is rarely considered in risk stratification paradigms for older patients with emergency general surgical conditions but is an important risk factor for long-term survival.

Abstract

Importance  Although nearly 1 million older patients are admitted for emergency general surgery (EGS) conditions yearly, long-term survival after these acute diseases is not well characterized. Many older patients with EGS conditions have preexisting complex multimorbidity defined as the co-occurrence of at least 2 of 3 key domains: chronic conditions, functional limitations, and geriatric syndromes. The hypothesis was that specific multimorbidity domain combinations are associated with differential long-term mortality after patient admission with EGS conditions.

Objective  To examine multimorbidity domain combinations associated with increased long-term mortality after patient admission with EGS conditions.

Design, Setting, and Participants  This cohort study included community-dwelling participants aged 65 years and older from the Medicare Current Beneficiary Survey with linked Medicare data (January 1992 through December 2013) and admissions for diagnoses consistent with EGS conditions. Surveys on health and function from the year before EGS conditions were used to extract the 3 domains: chronic conditions, functional limitations, and geriatric syndromes. The number of domains present were summed to calculate a categorical rank: no multimorbidity (0 or 1), multimorbidity 2 (2 of the 3 domains present), and multimorbidity 3 (all 3 domains present). Whether operative treatment was provided during the admission was also identified. Data were cleaned and analyzed between January 16, 2020, and April 29, 2021.

Exposures  Mutually exclusive multimorbidity domain combinations (functional limitations and geriatric syndromes; functional limitations and chronic conditions; chronic conditions and geriatric syndromes; or functional limitations, geriatric syndromes, and chronic conditions).

Main Outcomes and Measures  Time to death (up to 3 years from EGS conditions admission) in patients with multimorbidity combinations was analyzed using a Cox proportional hazards model and compared with those without multimorbidity; hazard ratios (HRs) and 95% CIs are presented. Models were adjusted for age, sex, and operative treatment.

Results  Of 1960 patients (median [IQR] age, 79 [73-85] years; 1166 [59.5%] women), 383 (19.5%) had no multimorbidity, 829 (42.3%) had 2 multimorbidity domains, and 748 (38.2%) had all 3 domains present. A total of 376 (19.2%) were known to have died in the follow-up period, with a median (IQR) follow-up of 377 (138-621) days. Patients with chronic conditions and geriatric syndromes had a mortality risk similar to those without multimorbidity. However, all domain combinations with functional limitations were associated with significantly increased risk of death: functional limitations and chronic conditions (HR, 1.83; 95% CI, 1.03-3.23); functional limitations and geriatric syndromes (HR, 2.91; 95% CI, 1.37-6.18); and functional limitations, geriatric syndromes, and chronic conditions (HR, 2.08; 95% CI, 1.49-2.89).

Conclusions and Relevance  Findings of this study suggest that a patient’s baseline complex multimorbidity level efficiently identifies risk stratification groups for long-term survival. Functional limitations are rarely considered in risk stratification paradigms for older patients with EGS conditions compared with chronic conditions and geriatric syndromes. However, functional limitations may be the most important risk factor for long-term survival.

Introduction

Of nearly 2 million adults admitted to the hospital for emergency general surgery (EGS) conditions annually in the US, almost half are older adults. This disproportionate population of older patients is often at high risk for complications and mortality because of preexisting medical disease and health vulnerability (ie, the consequences of aging, such as development of functional limitations or other nonmedical conditions, including vision and hearing loss, incontinence, and cognitive loss).1,2 The acute care for EGS conditions, broadly consisting of acute abdominal or surgical soft tissue catastrophes and infections, cost more than $28 billion in 2010, and approximately 30% are treated operatively.3,4 The impact and cost of EGS conditions are expected to increase to $41 billion by 2060 and thus are an important area of population health research.4

For the older adult with EGS conditions, subsequent survival and quality of life are uncertain. Emergency general surgery conditions can catalyze a loss of independence or accelerated health decline with subsequent mortality.5 Chronological age is a known risk factor for mortality in patients with EGS conditions, but it is unknown whether chronological age is a proxy for complex multimorbidity, here defined as the co-occurrence of chronic conditions or diseases, functional limitations, and geriatric syndromes (ie, aging syndromes that are not discrete diseases, such as incontinence, hearing and vision difficulties, and frequent falls).6 Complex multimorbidity is known to be associated with poor health outcomes in large populations of older patients7-9 but has yet to be described as a risk factor for mortality in older patients with EGS conditions. If preexisting complex multimorbidity is a useful risk stratification measure in patients with EGS conditions, clinicians might be able to use this simple scale to discuss long-term outcomes.

We examined the association between complex multimorbidity and long-term mortality after EGS admission for older patients from 3 perspectives: (1) using a summary measure of complex multimorbidity, (2) differentiating combinations of the 3 multimorbidity domains, and (3) examining whether the level of multimorbidity has varying implications for different EGS disease types. We hypothesized that the domains of functional limitations and geriatric syndromes will help estimate long-term mortality beyond inclusion of chronic conditions and that complex multimorbidity would have differing implications for EGS disease subtypes.

Methods
Data Source and Inclusion Criteria

In this cohort study, we used the Medicare Current Beneficiary Survey (MCBS) linked with Medicare claims from January 1992 through December 2013. The MCBS provides survey-collected participant data on health, functional status, and other demographic and household composition data (data on race and ethnicity were not collected because those demographics were not included in the study design or models). Participants are enrolled in the MCBS for up to 4 years and complete an annual in-person health survey, which includes a variety of questions on health, disease, and function. Claims data have been linked to these individuals per year of inclusion and provide a comprehensive look at their health care use and outcomes during their time participating in the MCBS. Medicare Current Beneficiary Survey data underwent a major format change in 2014, which was followed by a gap in data release for that year; our analysis therefore ends with 2013 because of the noncontinuity of data. We identified patients who had a hospitalization for an emergency general surgery condition during the time frame using a framework described by Smith et al.5 We limited inclusion to patients aged 65 years or older who were community dwelling at the time of EGS admission and had a health survey before the EGS admission. To ensure that complete claims history was captured, we also limited analysis to participants who were enrolled in a Medicare fee-for-service model. This study was deemed not human participant research by the Case Western Reserve University Institutional Review Board; therefore, study review and the requirement for informed consent were waived. The study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.10,11

Outcome of Interest

The primary outcome of interest in this study was survival after admission for an EGS condition. The linked Medicare data set provides the date of hospitalizations and date of death, if death occurred during study enrollment. We evaluated death up to 3 years after hospital admission, and for those who did not die (or did not have this information available), we applied a censoring date of the last day of their final year of MCBS participation (typically December 31 of the participant’s last year of survey enrollment).

Covariates

Covariates of interest in this study were age at admission, sex (male or female sex as provided in the data set), and whether a surgical procedure was performed because not all patients admitted for EGS conditions underwent subsequent surgical procedures. In addition, we calculated the measure of complex multimorbidity using a previously published framework.6

The complex multimorbidity framework is a validated multicategorical scale ranging from a level of no multimorbidity (multimorbidity 0) to severe multimorbidity (multimorbidity 3). This multimorbidity variable is a summed composite of functional limitations, geriatric syndromes, and chronic conditions. Complex multimorbidity level has been associated with a variety of health outcomes, including mortality, decline in health, and increased health care use,6 but has not previously been described for estimation of long-term survival in patients admitted for surgery.

Each domain component of multimorbidity is derived from a participant’s self-reported health survey. The functional limitation component was defined as present for any individual who had 5 or more of the following: difficulty walking, stooping, lifting, reaching, writing, bathing, getting in and out of a chair, dressing, eating, using the toilet, walking, managing money, doing heavy housework, doing light housework, preparing meals, shopping, or using the telephone. A patient was classified as having a geriatric syndrome if they reported vision trouble, hearing trouble, feeling sad or depressed, lost urine, difficulty eating solid foods, memory loss, problems with decision-making, or trouble concentrating. If any of the following diseases was reported, an individual was said to have chronic conditions: high blood pressure, myocardial infarction, heart failure, valve issues, other heart conditions, heart rhythm problems, stroke, diabetes, emphysema, arthritis, or cancer.

For this study, patients with no complex multimorbidity had multimorbidity levels of 0 or 1. We created dummy variables for each domain as well as unique combinations of domains.

Statistical Analysis

Data were cleaned and analyzed between January 16, 2020, and April 29, 2021. In addition to descriptive statistics, we used Cox proportional hazards models for time-to-event analyses with Kaplan-Meier curves to evaluate the association between complex multimorbidity and long-term survival. The first model and Kaplan-Meier curves showed the association between increasing multimorbidity and survival after admission for EGS conditions. We then included the variables for the combinations of multimorbidity components (functional limitations and geriatric syndromes; functional limitations and chronic conditions; chronic conditions and geriatric syndromes; or functional limitations, geriatric syndromes, and chronic conditions) to evaluate the association of the specific combinations compared with patients with multimorbidity levels of 0 or 1. We first stratified by EGS disease type and then, within each EGS type, stratified the Kaplan-Meier and adjusted Cox proportional hazards model by multimorbidity level. Emergency general surgery disease categories included biliopancreatic; colon; peptic ulcer and gastrointestinal bleeding; small bowel, appendix, or other disease; and soft tissue infections. Cox proportional hazards models used α = .05, which was the threshold for statistical significance, and 95% CIs with adjustment for surgery, age, and sex. Data management and analysis were conducted using SAS, version 9.4 (SAS Institute, Inc) and R software, version 3.6.3 (R Foundation for Statistical Computing).

Results
Study Population

We identified 89 434 individuals from the MCBS with at least 1 health survey. We limited the sample to those who had an EGS condition (3781), whose health survey occurred before their hospitalization (2725), who were older than age 64 years (2419), who were community dwelling (2142), and who were enrolled in Medicare in a fee-for-service model, leaving a total of 1960 patients with EGS conditions (eFigure in the Supplement). The median (IQR) patient age was 79 (73-85) years, and 1166 (59.5%) were women and 794 (40.5) were men (Table 1). Of these, 717 (36.6%) underwent surgery for their EGS disease. The most common disease category was colon (715 [36.5%]), followed by biliopancreatic (483 [24.6%]); small bowel, appendix, or other disease (425 [21.7%]); peptic ulcer and gastrointestinal bleeding (315 [16.1%]); and soft tissue infections (22 [1.1%]). Because of sample size limitations, we excluded those with soft tissue infections from the subgroup analysis. A total of 376 patients (19.2%) died in the 3 years after admission for EGS conditions, with a median (IQR) follow-up time of 377 (138-621) days, or 12.6 (4.6-20.7) months.

A total of 383 patients (19.5%) were categorized as having no multimorbidity (multimorbidity 0 or 1); only 24 (1.2%) had no multimorbidity domains present (multimorbidity 0). A total of 829 patients (42.3%) were classified as having multimorbidity 2, and the most common combination of domains was geriatric syndromes and chronic conditions (741 [89.4%]), followed by functional limitations and chronic conditions (78 [9.4%]) and functional limitations and geriatric syndromes (21 [2.5%]). The remaining 748 (38.2%) patients had all 3 multimorbidity domains and were classified as having multimorbidity 3.

Survival by Level of Multimorbidity

Survival for the entire cohort by multimorbidity level is presented in Figure 1A. Individuals with a greater level of complex multimorbidity had substantially worse survival after admission for EGS conditions. This survival was confirmed via Cox proportional hazards modeling (Table 2), in which a higher hazard ratio (HR) compared with that of multimorbidity 0 or 1 was associated with an increased risk of death in patients having multimorbidity 2 (HR, 1.25; 95% CI, 0.90-1.75) and those having multimorbidity 3 (HR, 2.06; 95% CI, 1.48-2.87) (Table 2). In this model, having surgery for an EGS condition was associated with improved long-term survival (HR, 0.71; 95% CI, 0.56-0.90).

Survival by Multimorbidity Domain Combinations

When evaluating specific combinations of domains within multimorbidity 2 (Table 2), we observed that compared with patients with multimorbidity 0 or 1, the addition of geriatric syndromes to chronic conditions did not significantly change the risk of mortality (HR, 1.15; 95% CI, 0.82-1.62). However, all domain combinations with functional limitations were associated with significantly increased risk of death: functional limitations and chronic conditions (HR, 1.83; 95% CI, 1.03-3.23); functional limitations and geriatric syndromes (HR, 2.91; 95% CI, 1.37-6.18); and functional limitations, geriatric syndromes, and chronic conditions (HR, 2.08; 95% CI, 1.49-2.89) (Table 2). Again, surgery for an EGS condition was associated with improved long-term survival (HR, 0.71; 95% CI, 0.56-0.90).

Survival by Disease Type

Long-term survival also significantly differed by disease type. Patients with biliopancreatic disease seemed to have better overall survival than patients with other EGS disease types (Figure 1B), based on visual inspection of unadjusted survival curves. By EGS disease subgroups, the level of complex multimorbidity had varying implications for survival depending on the disease (Figure 2). For most disease processes, there was a dose-response association whereby survival worsened with each complex multimorbidity level. For patients with biliopancreatic disease, only the patients with multimorbidity 3 had notably worse outcomes; in this subgroup, patients with multimorbidity 2 had outcomes similar to patients with no multimorbidity.

Cox proportional hazards modeling by disease subgroups (Table 3) shows the association between multimorbidity level and long-term survival after adjustment for surgical treatment, age, and sex. In every case, the presence of severe multimorbidity (multimorbidity 3) was associated with increased risk for death; HRs for multimorbidity 3, compared with multimorbidity 0 or 1, ranged from 1.83 (95% CI, 1.09-3.08) in colon diseases to 2.91 (95%CI, 1.18-7.19) for biliopancreatic diseases. After adjustment for other factors, multimorbidity 2 was not significantly different. Emergency general surgery disease subgroup sample size limited our ability to examine the implications of multimorbidity domain combinations for survival. Surgical treatment of the disease was associated with a lower risk of death in patients with biliopancreatic disease (HR, 0.56; 95% CI, 0.33-0.97), a higher risk of death for patients with peptic ulcer disease and gastrointestinal bleeding (HR, 2.53; 95% CI, 1.20-5.32), and no change in the risk of death in those with colon disease and small bowel disease, appendix, and other disease.

Discussion

This longitudinal study of patients with EGS conditions shows that a patient’s baseline complex multimorbidity level efficiently identifies risk stratification groups for long-term survival. Several findings from this study are worth noting. In this cohort of community-dwelling patients, approximately one-quarter of patients with the highest possible level of multimorbidity, or multimorbidity 3, died approximately 1 year after admission, and they continued to have higher rates of death compared with patients with lower multimorbidity levels during the 3-year time frame. This pattern held for all EGS disease types. However, patient survival differed between EGS disease types: patients with biliopancreatic disease had generally better survival than other EGS disease types, and patients with peptic ulcer and gastrointestinal bleeding had the lowest overall survival. Among multimorbidity domains, the presence of functional limitations was associated with poor survival. The present study highlights, however, that most of these patients do survive, especially if their level of complex multimorbidity is low.

Although EGS conditions are acute and often unexpected, long-term consequences after admission are not unexpected. Many studies on EGS outcomes use hospital discharge or 30-day survival,12-14 but EGS may be a breakpoint that leads to persistent decline manifesting over a longer time period than 30 days. A study by Smith et al5 found that, among community-dwelling patients who survived to hospital discharge after admission for EGS disease, nearly 1 in 4 either died or were no longer able to live independently. Another study of patients who underwent major emergency abdominal surgery supported these findings. Of this group of patients aged 65 years or older, 34% had died in year 1; in the subgroup of patients aged 80 years or older, 50% had died during year 1. Long-term estimation tools are needed to help with goal setting and long-term goals of care planning for this group with a high risk of mortality after admission for EGS conditions.

Consistent with previous work, which has shown that multimorbidity level is associated with poor health, major health decline, high health expenditures, and mortality, the present study found that, for patients who are admitted with emergency surgical disease, a high multimorbidity level is associated with a high risk of long-term poor outcomes.15 Complex multimorbidity differs from other measures of aging-related health vulnerability because it places value on functional limitations as well as geriatric syndromes, which do not fall into traditional disease categories. Level of dependence, functional status, vision or hearing impairment, falls, and urinary incontinence are often not measured as risk factors but are clinically relevant when evaluating a patient’s fitness for surgery. This study suggests that functional limitations are potentially as important or possibly even more important for long-term estimation of survival than the presence of comorbidities alone. In this cohort, functional limitations did not occur in isolation but almost always presented with at least 1 of the other multimorbidity domains. Development of functional limitations may be a proxy for a coup de grâce of the aging process, the culmination of accumulation of health vulnerabilities that subsequently portends a poor prognosis.

Modern studies on older patients with EGS conditions largely evaluate measures of frailty rather than complex multimorbidity.16-18 Frailty is defined as aging-related vulnerability to adverse health outcomes and is known to be associated with poor outcomes after EGS.19 Frailty assessment is currently recommended for risk stratification before general surgery in older patients.19 Unfortunately, applied frailty measures validated in large populations or in elective surgical populations are imperfect for use in EGS because patients are often too ill to have prospectively applied frailty measurements. Postoperatively applied frailty measures rely heavily on the presence of multiple chronic conditions or diseases.16,17,20,21 Oft-used measures for risk adjustment include the Charlson Comorbidity Index, the Elixhauser Comorbidity Index, and the modified Frailty Index, which are mostly summary measures of chronic disease.16,17,20-22 In the present analysis, risk from the presence of functional limitations appeared to have larger consequences for long-term mortality than the presence of chronic conditions, suggesting that use of accumulated comorbidity-based indices may be omitting an important risk category. This complex multimorbidity level in the EGS conditions population may have valuable clinical applicability compared with existing comorbidity-based measures and places value on the patient’s clinical function, which is not currently emphasized in preoperative assessments. Future study is needed on whether specific functional tasks or the accumulation of functional deficits has the most prognostic value.

Limitations

This study has several limitations. The longitudinal data showed that patients with complex multimorbidity in 3 domains have higher rates of mortality compared with patients with lower levels of multimorbidity, and this risk persists over time. However, the most important limitation of the study is that it remains unknown whether long-term risk can be attributed to severe complex multimorbidity alone or whether EGS conditions contribute to an accelerated decline in patients with a high risk of mortality. However, we believe that the data support the concept that the preexisting level of multimorbidity can be used for estimation of long-term outcomes and risk stratification in this patient population and in patients who develop EGS conditions.

Another limitation of this study is the use of self-reported surveys. There may be inaccurate reporting of some conditions related to patient understanding of their own diagnoses. However, previous studies have suggested that self-reported survey data perform well for estimation.23 For example, self-reported health data from the MCBS have also been used in validated frailty estimation models, which outperformed a claims-based comorbidity index for long-term mortality in a general geriatric population, suggesting that self-reported survey data are valuable for use in longitudinal analysis of outcomes and modeling.24,25

Another key limitation is that the data span from 1992 to 2013; disease patterns, surgical decision-making, and treatments have changed with the widespread use of laparoscopy, percutaneous treatment of infections, and medical treatment of ulcer disease, to name a few advances. However, the risk of death from EGS conditions procedures, such as major abdominal surgeries, in this patient population has not changed significantly since that time period, and the mortality rates that we observed in this cohort align with mortality rates reported in more recent literature,4,5,17,26 which suggests that our historical cohort remains relevant today.

Another consideration is that it is unknown whether the findings of the present study are unique to patients with EGS conditions. In a general population of older US adults, a higher multimorbidity level is known to be associated with mortality and increased health care use, but the specific implications of functional limitations have not been assessed in those cohorts.7,8 Future studies need to explore functional limitations and long-term outcomes in a variety of populations, with particular emphasis on surgical cohorts to investigate whether surgery and functional limitations are a particularly risky combination.

In addition, population-based surveys, such as the MCBS, have a limited number of participants, and the sample size precluded additional subgroup and domain analysis. Despite these limitations, we believe that our study captured reliable survival data for up to 3 years.

Conclusions

In this cohort study of community-dwelling patients who had inpatient admissions for EGS conditions, 19.2% of patients died over the maximum follow-up period of 3 years. Provision of surgery was associated with improved long-term survival in patients admitted for biliopancreatic disease. The long-term risk of mortality was significantly higher in patients with functional limitations or severe complex multimorbidity. The complex multimorbidity framework provides a simple ranking system that has important implications for patients who develop EGS diseases and can be used for counseling on long-term outcomes. Of note, the presence of functional limitations appears to be an important breaking point that portends a higher risk of mortality. Future work must continue to examine not only survival but also the long-term quality of life for survivors of EGS conditions.

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Article Information

Accepted for Publication: January 15, 2022.

Published Online: April 27, 2022. doi:10.1001/jamasurg.2022.0811

Corresponding Author: Vanessa P. Ho, MD, MPH, Division of Trauma, Critical Care, Burn, and Acute Care Surgery, Department of Surgery, MetroHealth Medical Center, 2500 MetroHealth Dr, Cleveland, OH 44109 (vho@metrohealth.org).

Author Contributions: Dr Ho and Mr Bensken had full access to all the data in the study and take full responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Ho, Warner, Claridge, Santry, Towe, Koroukian.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Ho, Bensken, Warner.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Ho, Bensken, Koroukian.

Obtained funding: Ho.

Administrative, technical, or material support: Ho, Warner, Claridge, Towe, Koroukian.

Supervision: Ho, Claridge, Koroukian.

Conflict of Interest Disclosures: Dr Warner reported receiving grants from the National Cancer Institute’s Case Comprehensive Cancer Center and the Center for Family and Demographic Research at Bowling Green State University. Dr Santry reported receiving compensation for work as a clinical program strategist for NBBJ Design outside the submitted work. Dr Towe reported serving as a consultant for Zimmer Biomet, AtriCure, Johnson & Johnson, AstraZeneca, and Medtronic. Dr Koroukian reported receiving grants from the National Institutes of Health, the National Cancer Institute’s Case Comprehensive Cancer Center, and the American Cancer Society and contracts from the Cleveland Clinic Foundation, including a subcontract from Celgene Corporation, during the conduct of the study. No other disclosures were reported.

Funding/Support: This publication was made possible by the Clinical and Translational Science Collaborative of Cleveland, KL2TR002547 (Dr Ho) from the National Center for Advancing Translational Sciences component of the National Institutes of Health and NIH Roadmap for Medical Research and the 2018 American Association for the Surgery of Trauma’s Research and Education Scholarship (Dr Ho).

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.

Meeting Presentation: Parts of this work were presented as a poster at the virtual AcademyHealth Annual Research Meeting; June 14 to 17, 2021; online; and at the Surgical Infection Society 40th Annual Meeting; August 1 to 4, 2021; Denver, Colorado.

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