External validation of the COVID-19 4C mortality score in an urban United States cohort.

BACKGROUND: Identifying patients at risk for mortality from COVID-19 is crucial to triage, clinical decision-making, and the allocation of scarce hospital resources. The 4C Mortality Score effectively predicts COVID-19 mortality, but it has not been validated in a United States (U.S.) population. The purpose of this study is to determine whether the 4C Mortality Score accurately predicts COVID-19 mortality in an urban U.S. adult inpatient population. METHODS: This retrospective cohort study included adult patients admitted to a single-center, tertiary care hospital (Philadelphia, PA) with a positive SARS-CoV-2 PCR from 3/01/2020 to 6/06/2020. Variables were extracted through a combination of automated export and manual chart review. The outcome of interest was mortality during hospital admission or within 30 days of discharge. RESULTS: This study included 426 patients; mean age was 64.4 years, 43.4% were female, and 54.5% self-identified as Black or African American. All-cause mortality was observed in 71 patients (16.7%). The area under the receiver operator characteristic curve of the 4C Mortality Score was 0.85 (95% confidence interval, 0.79-0.89). CONCLUSIONS: Clinicians may use the 4C Mortality Score in an urban, majority Black, U.S. inpatient population. The derivation and validation cohorts were treated in the pre-vaccine era so the 4C Score may over-predict mortality in current patient populations. With stubbornly high inpatient mortality rates, however, the 4C Score remains one of the best tools available to date to inform thoughtful triage and treatment allocation.

Comparing reliability of ICD-10-based COVID-19 comorbidity data to manual chart review, a retrospective cross-sectional study.

International Statistical Classification of Disease and Related Health Problems, 10th Revision codes (ICD-10) are used to characterize cohort comorbidities. Recent literature does not demonstrate standardized extraction methods. OBJECTIVE: Compare COVID-19 cohort manual-chart-review and ICD-10-based comorbidity data; characterize the accuracy of different methods of extracting ICD-10-code-based comorbidity, including the temporal accuracy with respect to critical time points such as day of admission. DESIGN: Retrospective cross-sectional study. MEASUREMENTS: ICD-10-based-data performance characteristics relative to manual-chart-review. RESULTS: Discharge billing diagnoses had a sensitivity of 0.82 (95% confidence interval [CI]: 0.79-0.85; comorbidity range: 0.35-0.96). The past medical history table had a sensitivity of 0.72 (95% CI: 0.69-0.76; range: 0.44-0.87). The active problem list had a sensitivity of 0.67 (95% CI: 0.63-0.71; range: 0.47-0.71). On day of admission, the active problem list had a sensitivity of 0.58 (95% CI: 0.54-0.63; range: 0.30-0.68)and past medical history table had a sensitivity of 0.48 (95% CI: 0.43-0.53; range: 0.30-0.56). CONCLUSIONS AND RELEVANCE: ICD-10-based comorbidity data performance varies depending on comorbidity, data source, and time of retrieval; there are notable opportunities for improvement. Future researchers should clearly outline comorbidity data source and validate against manual-chart-review.

Association of race/ethnicity and socioeconomic status with COVID-19 30-day mortality at a Philadelphia medical center using a retrospective cohort study.

COVID-19 has disproportionately affected low-income communities and people of color. Previous studies demonstrated that race/ethnicity and socioeconomic status (SES) are not independently correlated with COVID-19 mortality. The purpose of our study is to determine the effect of race/ethnicity and SES on COVID-19 30-day mortality in a diverse, Philadelphian population. This is a retrospective cohort study in a single-center tertiary care hospital in Philadelphia, PA. The study includes adult patients hospitalized with polymerase-chain-reaction-confirmed COVID-19 between March 1, 2020 and June 6, 2020. The primary outcome was a composite of COVID-19 death or hospice discharge within 30 days of discharge. The secondary outcome was intensive care unit (ICU) admission. The study included 426 patients: 16.7% died, 3.3% were discharged to hospice, and 20.0% were admitted to the ICU. Using multivariable analysis, race/ethnicity was not associated with the primary nor secondary outcome. In Model 4, age greater than 75 (odds ratio [OR]: 11.01; 95% confidence interval [CI]: 1.96-61.97) and renal disease (OR: 2.78; 95% CI: 1.31-5.90) were associated with higher odds of the composite primary outcome. Living in a "very-low-income area" (OR: 0.29; 95% CI: 0.12-0.71) and body mass index (BMI) 30-35 (OR: 0.24; 95% CI: 0.08-0.69) were associated with lower odds of the primary outcome. When controlling for demographics, SES, and comorbidities, race/ethnicity was not independently associated with the composite primary outcome. Very-low SES, as extrapolated from census-tract-level income data, was associated with lower odds of the composite primary outcome.

Presence and Implications of Sarcopenia in Non-alcoholic Steatohepatitis.

Sarcopenia, defined as the loss of muscle strength, mass, and functionality, confers a poor prognosis in the setting of cirrhosis. Given its clinical significance, a better understanding of the underlying mechanisms leading to cirrhosis, sarcopenia, and their co-occurrence may improve these patients' outcomes. Non-alcoholic steatohepatitis (NASH) shares many of the same etiologies as sarcopenia, including insulin resistance, chronic inflammation, and ectopic adipocyte deposition, which are hallmarks of metabolic syndrome (MS). NASH thus serves as a prime candidate for further exploration into the underlying pathophysiology and relationship between these three conditions. In this review, we discuss the natural history of NASH and sarcopenia, explore the interplay between these conditions in the scope of MS, and seek to better define how an assessment of muscle mass, strength, and functionality in this population is key to improved diagnosis and management of patients with sarcopenia and NASH.

Physical activity assessment among men undergoing genetic counseling for inherited prostate cancer: a teachable moment for improved survivorship.

BACKGROUND: Genetic counseling (GC) presents an opportunity to address modifiable cancer risk factors, such as obesity, which is impacted by non-adherence to physical activity (PA) guidelines. Adherence to PA guidelines has not been assessed among men undergoing GC for prostate cancer (PCA). We conducted a targeted analysis of men undergoing PCA GC to assess adherence to PA recommendations. METHODS: Using a cross-sectional design, a total of 158 men from the Genetic Evaluation of Men (GEM) study at two academic cancer centers with a diagnosis or at risk for PCA completed a structured lifestyle survey, including questions about the number of days and intensity of PA over the past year. One-sample t tests assessed adherence of participants to PA recommendations. Chi-square analyses compared differences in PA adherence by PCA status, aggressiveness, family history, and body mass index. Logistic regression analyses identified predictors of PA adherence. RESULTS: High proportions of GEM participants were overweight (44.9%) or obese (38.0%, p = 0.002). Men with PCA engaged in less moderate (p = 0.019) and vigorous (p = 0.005) aerobic activity than men without PCA. Higher education was predictive of adherence to light (p = 0.008), moderate (p = 0.019), and vigorous (p = 0.002) intensity PA. Older age (p = 0.015) and higher education (p = 0.001) were predictive of adherence to strength-based recommendations. CONCLUSIONS: High proportions of men receiving PCA GC were overweight/obese and lacked adherence to PA recommendations. GC represents a teachable moment to address PA to reduce cancer risk and promote cancer survivorship.

Diet assessment among men undergoing genetic counseling and genetic testing for inherited prostate cancer: Exploring a teachable moment to support diet intervention.

BACKGROUND: Genetic counseling (GC) and genetic testing (GT) for prostate cancer (PCA) is a rapidly growing, affording opportunity for healthy lifestyle promotion in men aligned with cancer survivorship and cancer prevention goals. We conducted a targeted dietary analysis of men undergoing GC/GT for PCA for adherence to the United States Department of Agriculture (USDA) Food Pattern recommendations which align with preventing cancer and recurrences in the Genetic Evaluation of Men (GEM) study at two academic centers to inform future strategies for diet intervention. METHODS: Participants of GEM with PCA or at-risk for PCA completed a structured food frequency questionnaire indicating number of servings consumed per day or per week of fruits, vegetables, red meat, seafood, processed meat, and foods high in saturated fat. Adherence to the USDA recommendations was assessed for the total sample and by PCA status and aggressiveness, family history, and body mass index (BMI) through χ 2 contingency analyses. One-sample t tests were used to compare the dietary behaviors of men to USDA Recommendations. Levels of α were set a priori at P < 0.05. RESULTS: Of 239 males undergoing GC on the study, surveys were completed by 197 men (82.4%), and complete survey data was available on 113 men (47.3%). By the Centers for Disease Control and Prevention BMI classification, 82.3% of the cohort was overweight (45.1%) or obese (37.2%). GEM participants reported consuming less fruits (P = 0.015), less vegetables ( P < 0.001), less seafood ( P < 0.001), more processed meats ( P < 0.001), and more foods high in saturated fats ( P < 0.001) than recommended. CONCLUSION: A high proportion of men receiving GC/GT for PCA were overweight and/or obese with lack of adherence to national diet recommendations for cancer risk and recurrence, affording a teachable moment and supporting the systematic focus of introducing nutrition intervention during GC to promote survivorship.