The Surgical Apgar Score predicts outcomes of emergency abdominal surgeries both in fit and frail older patients

Surgical Apgar scores predict complications after emergency general surgery laparotomy

BACKGROUND

The Surgical Apgar Score (SAS) is a 10-point validated score comprised of three intraoperative variables (blood loss, lowest heart rate, and lowest mean arterial pressure). Lower scores are worse and predict major postoperative complications. The SAS has not been applied in emergency general surgery (EGS) but may help guide postoperative disposition. We hypothesize that SAS can predict complications in EGS patients undergoing a laparotomy.

METHODS

We performed a retrospective review of adult patients at a single, quaternary care center who underwent an exploratory laparotomy for EGS conditions within 6 hours of surgical consultation from 2015 to 2019. Patients were grouped by whether they experienced a postoperative complication (systemic, surgical, and/or death). Multivariable regression was performed to predict complications, accounting for SAS and other statistically significant variables between groups. Using this model, predicted probabilities of a complication were generated for each SAS.

RESULTS

The cohort comprised 482 patients: 32.8% (n = 158) experienced a complication, while 67.2% (n = 324) did not. Patients with complications were older, frailer, more often male, had worse SAS (6 vs. 7, p < 0.0001) and American Society of Anesthesiologists scores, and higher rates of perforated hollow viscus ( p = 0.0003) and open abdomens ( p < 0.0001). On multivariable regression, an increasing SAS independently predicted less complications (adjusted odds ratio, 0.85; 95% confidence interval, 0.75-0.96; p = 0.009). An SAS ≤4 was associated with a 49.2% predicted chance of complications, greater rates of septic shock (9.7% vs. 3%, p = 0.01), respiratory failure (20.5% vs. 10.8%, p = 0.02), and death (24.1% vs. 7.5%, p < 0.0001). An SAS ≤ 4 did not correlate with surgical complications ( p = 0.1).

CONCLUSION

The SAS accurately predicts postoperative complications in EGS patients undergoing urgent laparotomy, with an SAS ≤ 4 identifying patients at risk for septic shock, respiratory failure, and mortality. This tool can aid in rapidly determining postoperative disposition and resource allocation.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level IV.

Frailty-aware surgical care: Validation of Hospital Frailty Risk Score (HFRS) in older surgical patients

Introduction

Frailty has an important impact on the health outcomes of older patients, and frailty screening is recommended as part of perioperative evaluation. The Hospital Frailty Risk Score (HFRS) is a validated tool that highlights frailty risk using 109 International Classification of Diseases, 10th revision (ICD-10) codes. In this study, we aim to compare HFRS to the Charlson Comorbidity Index (CCI) and validate HFRS as a predictor of adverse outcomes in Asian patients admitted to surgical services.

Method

A retrospective study of electronic health records (EHR) was undertaken in patients aged 65 years and above who were discharged from surgical services between 1 April 2022 to 31 July 2022. Patients were stratified into low (HFRS <5), interme-diate (HFRS 5-15) and high (HFRS >15) risk of frailty.

Results

Those at high risk of frailty were older and more likely to be men. They were also likely to have more comorbidities and a higher CCI than those at low risk of frailty. High HFRS scores were associated with an increased risk of adverse outcomes, such as mortality, hospital length of stay (LOS) and 30-day readmission. When used in combination with CCI, there was better prediction of mortality at 90 and 270 days, and 30-day readmission.

Conclusion

To our knowledge, this is the first validation of HFRS in Singapore in surgical patients and confirms that high-risk HFRS predicts long LOS (≥7days), increased unplanned hospital readmissions (both 30-day and 270-day) and increased mortality (inpatient, 10-day, 30-day, 90-day, 270-day) compared with those at low risk of frailty.

A systematic review of predictive accuracy via c-statistic of preoperative frailty tests for extended length of stay, post-operative complications, and mortality

Frailty, as an age-related syndrome of reduced physiological reserve, contributes significantly to post-operative outcomes. With the aging population, frailty poses a significant threat to patients and health systems. Since 2012, preoperative frailty assessment has been recommended, yet its implementation has been inhibited by the vast number of frailty tests and lack of consensus. Since the anesthesiologist is the best placed for perioperative care, an anesthesia-tailored preoperative frailty test must be simple, quick, universally applicable to all surgeries, accurate, and ideally available in an app or online form. This systematic review attempted to rank frailty tests by predictive accuracy using the c-statistic in the outcomes of extended length of stay, 3-month post-operative complications, and 3-month mortality, as well as feasibility outcomes including time to completion, equipment and training requirements, cost, and database compatibility. Presenting findings of all frailty tests as a future reference for anesthesiologists, Clinical Frailty Scale was found to have the best combination of accuracy and feasibility for mortality with speed of completion and phone app availability; Edmonton Frailty Scale had the best accuracy for post-operative complications with opportunity for self-reporting. Finally, extended length of stay had too little data for recommendation of a frailty test. This review also demonstrated the need for changing research emphasis from odds ratios to metrics that measure the accuracy of a test itself, such as the c-statistic.

Ability to predict surgical outcomes by surgical Apgar score: a systematic review

BACKGROUND

The Surgical Apgar score (SAS) is a straightforward and unbiased measure to assess the probability of experiencing complications after surgery. It is calculated upon completion of the surgical procedure and provides valuable predictive information. The SAS evaluates three specific factors during surgery: the estimated amount of blood loss (EBL), the lowest recorded mean arterial pressure (MAP), and the lowest heart rate (LHR) observed. Considering these factors, the SAS offers insights into the probability of encountering postoperative complications.

METHODS

Three authors independently searched the Medline, PubMed, Web of Science, Scopus, and Embase databases until June 2022. This search was conducted without any language or timeframe restrictions, and it aimed to cover relevant literature on the subject. The inclusion criteria were the correlation between SAS and any modified/adjusted SAS (m SAS, (Modified SAS). eSAS, M eSAS, and SASA), and complications before, during, and after surgeries. Nevertheless, the study excluded letters to the editor, reviews, and case reports. Additionally, the researchers employed Begg and Egger's regression model to evaluate publication bias.

RESULTS

In this systematic study, a total of 78 studies \were examined. The findings exposed that SAS was effective in anticipating short-term complications and served as factor for a long-term prognostic following multiple surgeries. While the SAS has been validated across various surgical subspecialties, based on the available evidence, the algorithm's modifications may be necessary to enhance its predictive accuracy within each specific subspecialty.

CONCLUSIONS

The SAS enables surgeons and anesthesiologists to recognize patients at a higher risk for certain complications or adverse events. By either modifying the SAS (Modified SAS) or combining it with ASA criteria, healthcare professionals can enhance their ability to identify patients who require continuous observation and follow-up as they go through the postoperative period. This approach would improve the accuracy of identifying individuals at risk and ensure appropriate measures to provide necessary care and support.

The Surgical Apgar Score: A Systematic Review of Its Discriminatory Performance

To review the current literature evaluating the performance of the Surgical Apgar Score (SAS).

Background

The SAS is a simple metric calculated at the end of surgery that provides clinicians with information about a patient's postoperative risk of morbidity and mortality. The SAS differs from other prognostic models in that it is calculated from intraoperative rather than preoperative parameters. The SAS was originally derived and validated in a general and vascular surgery population. Since its inception, it has been evaluated in many other surgical disciplines, large heterogeneous surgical populations, and various countries.

Methods

A database and gray literature search was performed on March 3, 2020. Identified articles were reviewed for applicability and study quality with prespecified inclusion criteria, exclusion criteria, and quality requirements. Thirty-six observational studies are included for review. Data were systematically extracted and tabulated independently and in duplicate by two investigators with differences resolved by consensus.

Results

All 36 included studies reported metrics of discrimination. When using the SAS to correctly identify postoperative morbidity, the area under the receiver operating characteristic curve or concordance-statistic ranged from 0.59 in a general orthopedic surgery population to 0.872 in an orthopedic spine surgery population. When using the SAS to identify mortality, the area under the receiver operating characteristic curve or concordance-statistic ranged from 0.63 in a combined surgical population to 0.92 in a general and vascular surgery population.

Conclusions

The SAS provides a moderate and consistent degree of discrimination for postoperative morbidity and mortality across multiple surgical disciplines.

Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?

Purpose

To determine which frailty method can better improve the predictive ability of the Surgical Apgar Score combined with American Society of Anesthesiologists physical status classification (SASA).

Patients and Methods

A prospective cohort study was conducted. A total of 194 elderly patients undergoing elective abdominal surgery were included. Preoperative frailty using FRAIL questionnaire, frailty index (FI), Clinical Frailty Scale (CFS) and SASA scores was assessed. Primary outcome was in-hospital Clavien-Dindo ≥grade II complications. Multiple logistic regression was used to examine the association between frailty and complications. Receiver operating characteristic curves were used to explore the predictive ability of frailty.

Results

According to the FRAIL, FI and CFS criteria, the prevalence of frailty in the study population was 43.8%, 32.5%, and 36.6%, respectively. After adjusting for all covariates, frailty was significantly associated with postoperative complications in hospital by FRAIL [odds ratio: 5.11, 95% CI: 1.41–18.44, P = 0.013], by FI [OR: 4.25, 95% CI: 1.21–14.90, P = 0.024] and by CFS [OR: 5.10, 95% CI: 1.52–17.17, P = 0.008]. The area under the curve (AUC) for SASA was 0.768 (95% CI: 0.702–0.826). Addition of frailty assessment (FRAIL, FI and CFS) increased the AUC to 0.787 (95% CI: 0.722–0.842), 0.798 (95% CI: 0.734–0.852), and 0.815 (95% CI: 0.753–0.867), respectively. Compared to SASA, only addition of CFS had a significant difference (P = 0.0478).

Conclusion

Frailty is an effective predictor of postoperative complications in elderly Chinese patients undergoing elective abdominal surgery. Frailty assessment of CFS can better improve the predictive ability of SASA.

Frailty and Emergency Surgery: Results of a Systematic Review and Meta-Analysis

Background

Frailty, a "syndrome of loss of reserves," is a decade old concept. Initially it was used mainly in geriatrics but lately its use has been extended into other specialties including surgery. Our main objective was to examine the association between frailty and mortality, between frailty and length of hospital stay (LOS) and frailty and readmission within 30 days in the emergency surgical population.

Methods

Studies reporting on frailty in the emergency surgical population were eligible. MEDLINE (via PubMed), EMBASE, Scopus, CENTRAL, and Web of Science were searched with terms related to acute surgery and frail*. We searched for eligible articles without any restrictions on the 2nd of November 2020. Odds ratios (OR) and weighted mean differences (WMD) were calculated with 95% confidence intervals (CI), using a random effect model. Risk of bias assessment was performed according to the recommendations of the Cochrane Collaboration. As the finally selected studies were either prospective or retrospective cohorts, the "Quality In Prognosis Studies" (QUIPS) tool was used.

Results

At the end of the selection process 21 eligible studies with total 562.070 participants from 8 countries were included in the qualitative and the quantitative synthesis. Patients living with frailty have higher chance of dying within 30 days after an emergency surgical admission (OR: 1.99; CI: 1.76-2.21; p < 0.001). We found a tendency of increased LOS with frailty in acute surgical patients (WMD: 4.75 days; CI: 1.79-7.71; p = 0.002). Patients living with frailty have increased chance of 30-day readmission after discharge (OR: 1.36; CI: 1.06-1.75; p = 0.015).

Conclusions

Although there is good evidence that living with frailty increases the chance of unfavorable outcomes, further research needs to be done to assess the benefits and costs of frailty screening for emergency surgical patients.

Systematic Review Registration

The review protocol was registered on the PROSPERO International Prospective Register of Systematic Reviews (CRD42021224689).

Frailty in elderly patients with acute appendicitis

PURPOSE

Acute appendicitis in the elderly is becoming increasingly recognized for its often severe course. For various elective and urgent operations in older patients, frailty is a risk factor for poor outcomes. However, there is a lack of data on frailty in elderly patients with acute appendicitis.

METHODS

Patients over 65 years old who underwent surgery for acute appendicitis in three hospitals between January 2015 and September 2020 were assessed with the Hospital Frailty Risk Score (HFRS) and the modified Frailty Index (mFI). Outcomes of interest, including morbidity, mortality, and length of stay, were recorded.

RESULTS

While frailty can be measured with both tests, the mFI has better applicability and takes significantly less time to implement compared to the HFRS (21.6 s vs. 80.3 s, p < 0.0001) while providing the same information value. Patients who exhibited frailty according to either assessment had a significantly higher rate of milder (OR 5.85/2.87, p < 0.0001/0.009) and serious (OR 4.92/3.61, p < 0.011/0.029) complications, more admissions to the intensive care unit (OR 5.16/7.36, p < 0.0001), and an almost doubled length of stay (12.7 days vs. 6.6 days, p < 0.005). Up to 31% of these patients required institutional care after discharge, which is significantly more than those without frailty (p < 0.0001). Furthermore, the mortality rate in frail patients was significantly elevated to 17%, compared to less than 1% in non-frail patients (p = 0.018).

CONCLUSION

In elderly patients, frailty is a significant risk factor for negative outcomes. Frailty can be assessed more quickly and reliably with the mFI compared to the HFRS.

Frailty and emergency abdominal surgery: A systematic review and meta-analysis

INTRODUCTION

Patients aged ≥65 years currently account for approximately 55% of all emergent operations. However, these patients account for 75% of post-operative mortality. Older age has long been associated with adverse outcomes from emergency surgery. However, old age is a heterogenous state. Recent studies have indicated that frailty may more accurately reflect true biological age and perioperative risk than chronological age alone in patients undergoing elective surgery. Few studies have evaluated the impact of frailty on post-operative outcomes in this setting.

METHODS

A systematic, electronic search for relevant publications was performed in November 2019 using Pubmed and Embase from 2009 to 2019. The latest search for articles was performed on February 16th, 2020. Articles were excluded if frailty was not measured using a frailty tool, or if patients did not undergo emergency general surgery (EGS).

RESULTS

The prevalence of frailty amongst patients undergoing emergency abdominal surgery was 30.8%. The all-cause mortality rate was 15.68%. The mortality rate amongst the frail undergoing EGS was 24.7%. Frailty was associated with an increased mortality rate compared with the non-frail (odds ratio (OR) 4.3, 95% CI 2.25-8.19%, p < 0.05, I² = 80%).

CONCLUSIONS

There is strong evidence to suggest that frailty in the older population predicts post-operative mortality, complications, prolonged length of stay and the loss of independence. Collaborative working with medicine for the elderly physicians to target modifiable aspects of the frailty syndrome in the perioperative pathway may improve outcomes. Frailty scoring should be integrated into acute surgical assessment practice to aid decision-making and development of novel postoperative strategies.

The Surgical Apgar Score Predicts Postoperative Complications in Elderly Patients After Surgery for Colorectal Cancer

OBJECTIVE

The surgical Apgar score (SAS) has been validated as a risk assessment tool for postoperative complications. However, the utility of the SAS in elderly patients with colorectal cancer remains unclear. In this study, we evaluated the utility of the SAS for predicting the severe complications in elderly patients with colorectal cancer.

METHODS

We retrospectively analyzed 295 patients underwent radical surgery for colorectal cancer in elderly patients ≥75 years old. The SAS was calculated based on 3 intraoperative parameters: estimated blood loss (EBL), lowest mean arterial pressure, and lowest heart rate. Severe complications were defined as Clavien-Dindo classification grade ≥ IIIa. We divided all patients into 2 groups according to with or without severe complications. The optimal cut-off value of SAS for severe complications has been determined by receiver operator characteristic curve. Predictors for severe complications were analyzed by logistic regression modeling.

RESULTS

Severe complications were observed in 57 patients (19.3%). Male, rectal cancer, operation time (>240 minutes), EBL (≥120 mL), and a low SAS (≤6) were significantly associated with severe complications in univariate analysis. A multivariate analysis revealed that male, rectal cancer, and a low SAS (≤6) were independent predictors for severe complications.

CONCLUSIONS

A low SAS (≤6) was associated with severe complications after colorectal cancer surgery in elderly patients. The SAS is a valuable predictor for severe complications in elderly patients with colorectal cancer.

Surgical Apgar score is strongly associated with postoperative ICU admission

Immediate postoperative intensive care unit (ICU) admission can increase the survival rate in patients undergoing high-risk surgeries. Nevertheless, less than 15% of such patients are immediately admitted to the ICU due to no reliable criteria for admission. The surgical Apgar score (SAS) (0–10) can be used to predict postoperative complications, mortality rates, and ICU admission after high-risk intra-abdominal surgery. Our study was performed to determine the relationship between the SAS and postoperative ICU transfer after all surgeries. All patients undergoing operative anesthesia were retrospectively enrolled. Among 13,139 patients, 68.4% and < 9% of whom had a SASs of 7–10 and 0–4. Patients transferred to the ICU immediately after surgery was 7.8%. Age, sex, American Society of Anesthesiologists (ASA) class, emergency surgery, and the SAS were associated with ICU admission. The odds ratios for ICU admission in patients with SASs of 0–2, 3–4, and 5–6 were 5.2, 2.26, and 1.73, respectively (P < 0.001). In general, a higher ASA classification and a lower SAS were associated with higher rates of postoperative ICU admission after all surgeries. Although the SAS is calculated intraoperatively, it is a powerful tool for clinical decision-making regarding the immediate postoperative ICU transfer.

Usefulness of scoring systems in outcome prediction for older cancer patients undergoing abdominal surgery

BACKGROUND

Several postoperative outcome scoring systems have been developed and validated, combining both pre- and intraoperative factors. Among others are the Portsmouth Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM), the Estimation of Physiologic Ability and Stress (E-PASS) and the Surgical Apgar Score combined with the American Society of Anesthesiologists physical status classification (SASA). The aim of this study was to compare the above scoring systems in the prediction of 30-day postoperative outcome in older patients with cancer undergoing abdominal surgery.

METHODS

Consecutive patients ≥70 years were prospectively enrolled. Pre- and intraoperative variables were used to calculate the scores, the ROC and perform logistic regression analysis.

RESULTS

The study sample comprised 201 patients with a median age of 77 (range 70-93) years. The most common surgical procedure was for colorectal (75%), followed by gastric (10.4%) pancreas (7.0%), gall bladder (3.5%), small bowel (2.5%), and other (1.5%) types of cancer. All scores were independent predictors of 30-day postoperative mortality. In case of 30-day morbidity only SASA turned to be significant. The ROC curves were highly valid and area under the curve showed fair to good discriminatory ability (0.60-0.77) for 30-day postoperative mortality and fair (AUC 0.6) in case of SASA for the 30-day postoperative.

CONCLUSION

The SASA, E-PASS, and P-POSSUM were confirmed to be predictive of 30-day postoperative mortality in older patients undergoing abdominal elective cancer surgery. Only SASA demonstrated as independent factor predicting postoperative 30-day major morbidity.

Utility of Frailty Screening Tools in Older Surgical Patients

Frailty is a loss of functional reserve that compromises a person's ability to cope with stressors such as surgery. Identifying and quantifying frailty may enable intensive rehabilitation interventions, caregiver support, or consideration of palliative care before surgery. This study describes the characteristics of five frailty screening tools, namely the Geriatric 8, Vulnerable Elders Survey-13, the Groningen Frailty Indicator, Edmonton Frailty Scale (EFS), and Clinical Frailty Scale. We further propose an approach incorporating a frailty scale into preoperative assessment, wherein older patients undergoing elective general surgery are screened using EFS, and frail patients are offered comprehensive geriatric assessment. The expected outcome is an individualized patient-centered care plan that will reduce frailty and optimize the patient's condition before surgery.

Usefulness of pre- and intraoperative risk scores in nonagenarian surgical patients

PURPOSE

Preoperative assessment at extreme ages would identify patients at a high risk of developing postoperative complications. The objective of this study was to compare the usefulness of different risk scales in a series of nonagenarian surgical patients.

METHODS

A total of 244 surgical nonagenarians, 148 women (60.7%), median age 91 years (IQR: 90-93), were analysed. The following scales were evaluated: preoperative status (ASA-PS, Charlson Comorbidity Index, Lee Index, Reiss Index, and surgical mortality probability model-S-MPM); intraoperative status (Surgical Apgar Score and SASA score), and, as output variables, surgical outcomes (morbidity measured by the Comprehensive Complication Index-CCI, and death). Univariate analysis and receiver operating characteristic curves (ROC) were performed. Area under ROC curves (AUROC) were evaluated to define the best predictors of poor outcomes.

RESULTS

Operative mortality was 27.0%, and 73.4% presented some type of postoperative complication. Operative mortality was associated with the ASA-PS score (p < 0.001), Reiss Index (p < 0.001), Lee Index (p = 0.010), S-MPM (p < 0.001), Surgical Apgar Score (p < 0.001), SASA score (p < 0.001), and emergency surgery (p < 0.001). Postoperative complications were related to the ASA-PS score (p = 0.001), Reiss Index (p < 0.001), Lee Index (p < 0.001), S-MPM (p < 0.001), Surgical Apgar Score (p < 0.001) and SASA score (p < 0.001). The best predictors of operative mortality and complications were the SASA and Surgical Apgar Score (AUROCs > 0.88).

CONCLUSION

As in the general population, the Surgical Apgar Score and SASA score are the best predictors of operative mortality and morbidity in nonagenarian patients. These risk scales should be considered in the perioperative management of these patients.

Accuracy and Feasibility of Clinically Applied Frailty Instruments before Surgery

Background

A barrier to routine preoperative frailty assessment is the large number of frailty instruments described. Previous systematic reviews estimate the association of frailty with outcomes, but none have evaluated outcomes at the individual instrument level or specific to clinical assessment of frailty, which must combine accuracy with feasibility to support clinical practice.

Methods

The authors conducted a preregistered systematic review (CRD42019107551) of studies prospectively applying a frailty instrument in a clinical setting before surgery. Medline, Excerpta Medica Database, Cochrane Library and the Comprehensive Index to Nursing and Allied Health Literature, and Cochrane databases were searched using a peer-reviewed strategy. All stages of the review were completed in duplicate. The primary outcome was mortality and secondary outcomes reflected routinely collected and patient-centered measures; feasibility measures were also collected. Effect estimates were pooled using random-effects models or narratively synthesized. Risk of bias was assessed.

Results

Seventy studies were included; 45 contributed to meta-analyses. Frailty was defined using 35 different instruments; five were meta-analyzed, with the Fried Phenotype having the largest number of studies. Most strongly associated with: mortality and nonfavorable discharge was the Clinical Frailty Scale (odds ratio, 4.89; 95% CI, 1.83 to 13.05 and odds ratio, 6.31; 95% CI, 4.00 to 9.94, respectively); complications was associated with the Edmonton Frail Scale (odds ratio, 2.93; 95% CI, 1.52 to 5.65); and delirium was associated with the Frailty Phenotype (odds ratio, 3.79; 95% CI, 1.75 to 8.22). The Clinical Frailty Scale had the highest reported measures of feasibility.

Conclusions

Clinicians should consider accuracy and feasibility when choosing a frailty instrument. Strong evidence in both domains support the Clinical Frailty Scale, while the Fried Phenotype may require a trade-off of accuracy with lower feasibility.

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The Surgical Apgar Score and frailty as outcome predictors in short- and long-term evaluation of fit and frail older patients undergoing elective laparoscopic cholecystectomy - a prospective cohort study

INTRODUCTION

Frailty increases the risk of poor surgical outcomes in the older population. Some intraoperative factors may also influence the final result and can be evaluated. The Surgical Apgar Score (SAS) is a simple system predicting postoperative mortality and morbidity. However, the utility of the SAS remains unknown in fit and frail older patients undergoing elective laparoscopic cholecystectomy due to benign gallbladder diseases.

AIM

To evaluate the usefulness of the SAS in predicting 30-day morbidity and 1-year mortality in older fit and frail patients undergoing elective laparoscopic cholecystectomy.

MATERIAL AND METHODS

Consecutive patients (≥ 70 years) were enrolled in the prospective study. The Comprehensive Geriatric Assessment (CGA) was used to diagnose frailty. Logistic regression was conducted to investigate the association between the scores and the outcomes.

RESULTS

The study included 144 consecutive older patients with a median age of 76 (range: 70-91) years. The prevalence of frailty was 44.4%. The 30-day mortality and morbidity were 0% and 11.8%, respectively. The 1-year mortality was 6.3% and 7 out of 9 occurred in the frail group. SAS < 7 points was identified as an independent predictor of 30-day postoperative morbidity (OR = 5.1; 95% CI: 1.5-18.1). Age > 85 years (OR = 1.9; 95% CI: 1.2-16.4) and frailty (OR = 3.4; 95% CI: 1.1-19.3) were predictors of 1-year mortality.

CONCLUSIONS

Laparoscopic cholecystectomy can be safely performed in older fit and frail patients. The SAS, not age, turned out to be the most important predictor of 30-day morbidity. Frailty and age > 85 years were predictors of 1-year mortality. Older patients with SAS < 7 points should be followed meticulously in order to diagnose and treat potential complications early on.