Beyond the revised cardiac risk index: Validation of the hospital frailty risk score in non-cardiac surgery

Frailty is a predictor for worse outcomes in patients hospitalized with Clostridioides difficile infection

Background

Frailty has major health implications for affected patients and is widely used in the perioperative risk assessment. The Hospital Frailty Risk Score (HFRS) is a validated score that utilizes administrative billing data to identify patients at higher risk because of frailty. We investigated the utility of the HFRS in patients with Clostridioides difficile infection (CDI) to determine whether they were at risk for worse outcomes and higher healthcare resource utilization.

Methods

Using the 2017 National Inpatient Sample, we identified all adults with a primary diagnosis of CDI. We classified patients into 2 groups: those who had an HFRS <5 (NonFrailCDI) and those with a score ≥5 (FrailCDI). We assessed differences in hospital outcomes and healthcare resource utilization based on frailty status.

Results

We identified 93,810 hospitalizations, of which 54,300 (57.88%) were FrailCDI. FrailCDI patients were at higher risk for fulminant CDI (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.6-2.3), requiring colectomy (OR 4.1, 95%CI 1.5-11.2), and inpatient mortality (OR 4.5, 95%CI 2.8-7.1). Furthermore, FrailCDI patients had higher odds of requiring Intensive Care Unit admission (OR 13.7, 95%CI 6.3-29.9) or transfer to another facility on discharge (OR 2.2, 95%CI 2.0-2.4), and had longer hospital stays and higher total charges when compared with NonFrailCDI.

Conclusions

Frailty as defined by the HFRS is an independent factor for worse outcomes and higher healthcare utilization in adults admitted for CDI. Risk stratifying patients by frailty may improve outcomes.

A systematic review of frailty assessment tools used in vascular surgery research

OBJECTIVE

Frailty is common in vascular patients and is recognized for its prognostic value. In the absence of consensus, a multitude of frailty assessment tools exist. This systematic review aimed to quantify the variety in these tools and describe their content and application to inform future research and clinical practice.

METHODS

Multiple cross-disciplinary electronic literature databases were searched from inception to August 2022. Studies describing frailty assessment in a vascular surgical population were eligible. Data extraction to a validated template included patient demographics, tool content, and analysis methods. A secondary systematic search for papers describing the psychometric properties of commonly used frailty tools was then performed.

RESULTS

Screening 5358 records identified 111 eligible studies, with an aggregate population of 5,418,236 patients. Forty-three differing frailty assessment tools were identified. One-third of these failed to assess frailty as a multidomain deficit and there was a reliance on assessing function and presence of comorbidity. Substantial methodological variability in data analysis and lack of methodological description was also identified. Published psychometric assessment was available for only 4 of the 10 most commonly used frailty tools. The Clinical Frailty Scale was the most studied and demonstrates good psychometric properties within a surgical population.

CONCLUSIONS

Substantial heterogeneity in frailty assessment is demonstrated, precluding meaningful comparisons of services and data pooling. A uniform approach to assessment is required to guide future frailty research. Based on the literature, we make the following recommendations: frailty should be considered a continuous construct and the reporting of frailty tools' application needs standardized. In the absence of consensus, the Clinical Frailty Scale is a validated tool with good psychometric properties that demonstrates usefulness in vascular surgery.

Sex differences in post-operative outcomes following non-cardiac surgery

It is uncertain whether sex is an independent risk factor for poor outcomes after non-cardiac surgery. We examined sex differences in short- and long-term mortality and morbidity in patients undergoing non-cardiac surgery in Alberta, Canada. Using linked administrative databases, we identified patients undergoing one of 45 different non-cardiac surgeries who were hospitalized between 2008 and 2019. Adjusted odds ratios (95% CI) were reported for mortality at 30-days, 6-months, and 1-year stratified by sex. Secondary outcomes including all-cause hospitalization, hospitalization for heart failure (HF), hospitalization for acute coronary syndrome (ACS), hospitalization for infection, hospitalization for stroke, and hospitalization for bleeding were also analyzed. Multivariate logistic regression was adjusted for age, sex, surgery type, the components of the Charlson Comorbidity Index, and the Revised Cardiac Risk Index. We identified 552,224 unique patients who underwent non-cardiac surgery of which 304,408 (55.1%) were female. Male sex was a predictor of mortality at 30-days (aOR 1.25 (1.14, 1.38), p<0.0001), 6-months (aOR 1.26 (1.20, 1.33), p<0.0001), and 1-year (aOR 1.25 (1.20, 1.31), p<0.0001). Similarly, male sex was a predictor of hospital readmission at 30-days (1.12 (1.09, 1.14), p<0.0001), 6-months (aOR 1.11 (1.10, 1.13), p<0.0001), and 1-year (aOR 1.06 (1.04, 1.07), p<0.0001). When the results were stratified by age, the effect of male sex on clinical outcome diminished for age ≥ 65years compared to younger patients. In conclusion, male patients undergoing non-cardiac surgery have higher risks of all-cause mortality and readmission after adjustment for baseline risk factor differences, particularly in those under 65-years-old. The overall incidence of readmission for stroke, bleeding, HF and ACS after non-cardiac surgery was low. The impact of male sex on clinical outcomes decreases with increasing age, suggesting the importance of considering the effect of both sex and age on clinical outcomes after non-cardiac surgery.

External Validation of the Revised Cardiac Risk Index and the Geriatric-Sensitive Perioperative Cardiac Risk Index in Oldest Old Patients Following Surgery Under Spinal Anaesthesia; a Retrospective Cross-Sectional Cohort Study

Background

The Revised Cardiac Risk Index (RCRI) and the Geriatric Sensitive Cardiac Risk Index (GSCRI) estimate the risk of postoperative major adverse cardiac events (MACE) regardless of the type of anesthesia and without specifying the oldest old patients. Since spinal anesthesia (SA) is a preferred technique in geriatrics, we aimed to test the external validity of these indices in patients ≥ 80 years old who underwent surgery under SA and tried to identify other potential risk factors for postoperative MACE.

Methods

The performance of both indices to estimate postoperative in-hospital MACE risk was tested through discrimination, calibration, and clinical utility. We also investigated the correlation between both indices and postoperative ICU admission and length of hospital stay (LOS).

Results

The MACE incidence was 7.5%. Both indices had limited discriminative (AUC for RCRI and GSCRI were 0.69 and 0.68, respectively) and predictive abilities. The regression analysis showed that patients with atrial fibrillation (AF) were 3.77 and those with trauma surgery were 2.03 times more likely to exhibit MACE, and the odds of MACE increased by 9% for each additional year above 80. Introducing these factors into both indices (multivariable models) increased the discriminative ability (AUC reached 0.798 and 0.777 for RCRI and GSCRI, respectively). Bootstrap analysis showed that the predictive ability of the multivariate GSCRI but not the multivariate RCRI improved. Decision curve analysis (DCA) showed that multivariate GSCRI had superior clinical utility when compared with multivariate RCRI. Both indices correlated poorly with postoperative ICU admission and LOS.

Conclusion

Both indices had limited predictive and discriminative ability to estimate postoperative in-hospital MACE risk and correlated poorly with postoperative ICU admission and LOS, following surgery under SA in the oldest-old patients. Updated versions by introducing age, AF, and trauma surgery improved the GSCRI performance but not the RCRI.

Association between frailty and short- and long-term mortality in patients with critical acute myocardial infarction: Results from MIMIC-IV

Background

Frailty has been recognized as an important prognostic indicator in patients with acute myocardial infarction (AMI). However, no study has focused on critical AMI patients. We aimed to determine the impact of frailty on short- and long-term mortality risk in critical AMI patients.

Methods

Data from the Medical Information Mart for Intensive Care (MIMIC)-IV database was used. Frailty was assessed using the Hospital Frailty Risk Score (HFRS). Outcomes were in-hospital mortality and 1-year mortality. Logistic regression and Cox proportional-hazards models were used to investigate the association between frailty and outcomes.

Results

Among 5,003 critical AMI patients, 2,176 were non-frail (43.5%), 2,355 were pre-frail (47.1%), and 472 were frail (9.4%). The in-hospital mortality rate was 13.8%, and the 1-year mortality rate was 29.5%. In our multivariable model, frailty was significantly associated with in-hospital mortality [odds ratio (OR) = 1.30, 95% confidence interval (CI): 1.20-1.41] and 1-year mortality [hazard ratio (HR) = 1.29, 95% CI: 1.24-1.35] as a continuous variable (per five-score increase). When assessed as categorical variables, pre-frailty and frailty were both associated with in-hospital mortality (OR = 2.80, 95% CI: 2.19-3.59 and OR = 2.69, 95% CI: 1.93-3.73, respectively) and 1-year mortality (HR = 2.32, 95% CI: 2.00-2.69 and HR = 2.81, 95% CI: 2.33-3.39, respectively) after adjustment for confounders. Subgroup analysis showed that frailty was only associated with in-hospital mortality in critically ill patients with non-ST-segment elevation myocardial infarction (STEMI) but not STEMI (p for interaction = 0.012). In addition, frailty was associated with 1-year mortality in both STEMI and non-STEMI patients (p for interaction = 0.447). The addition of frailty produced the incremental value over the initial model generated by baseline characteristics for both in-hospital and 1-year mortality.

Conclusion

Frailty, as assessed by the HFRS, was associated with both in-hospital and 1-year mortality in critical AMI patients. Frailty improves the prediction of short- and long-term mortality in critical AMI patients and may have potential clinical applications.

Assessment and Correction of the Cardiac Complications Risk in Non-cardiac Operations – What's New?

Cardiovascular complications after non-cardiac surgery are the leading cause of 30-day mortality. The need for surgical interventions is approximately 5,000 procedures per 100,000 population, according to experts, the risks of non-cardiac surgical interventions are markedly higher in the elderly. It should be borne in mind that the aging of the population and the increased possibilities of medicine inevitably lead to an increase in surgical interventions in older people. Recent years have been characterized by the appearance of national and international guidelines with various algorithms for assessing and correcting cardiac risk, as well as publications on the validation of these algorithms. The purpose of this review was to provide new information about the assessment and correction of the risk of cardiac complications in non-cardiac operations. Despite the proposed new risk assessment scales, the RCRI scale remains the most commonly used, although for certain categories of patients (with oncopathology, in older age groups) the possibility of using specific questionnaires has been shown. In assessing the functional state, it is proposed to use not only a subjective assessment, but also the DASI questionnaire, 6-minute walking test and cardiopulmonary exercise test). At the next stage, it is proposed to evaluate biomarkers, primarily BNP or NT-proBNP, with a normal level – surgery, with an increased level – either an additional examination by a cardiologist or perioperative troponin screening. Currently, the prevailing opinion is that there is no need to examine patients to detect hidden lesions of the coronary arteries (non-invasive tests, coronary angiography), since this leads to excessive examination of patients, delaying the implementation of non-cardiac surgery. The extent to which this approach has an advantage over the previously used one remains to be studied.

Association of Frailty, Age, Socioeconomic Status, and Type of Surgery With Perioperative Outcomes in Patients Undergoing Noncardiac Surgery

This cohort study examines the association of Hospital Frailty Risk Score classification, demographic characteristics, and type of surgery with risk of mortality among patients undergoing noncardiac surgery.