General Medical Population Research Articles

Autonomic Nerve Function Predicts Risk of Early Death after Discharge in Acute Medical Disease

BackgroundHeart rate variability, a marker of autonomic function, has shown promising prognostic results in specific populations, but has not been tested in a general medical population. We hypothesized that heart rate variability identifies high-risk medical patients early after admission to the hospital. MethodsThis was a single-center prospective cohort study of acutely admitted medical patients aged ≥18 years with a life expectancy ≥3 months, included between 2019-2023. Unstable patients needing direct admission to the intensive care unit were excluded. Heart rate variability was recorded within 24 hours of admission for 10 minutes. The standard deviation of normal-normal beats (SDNN) was the primary heart rate variability marker. Low SDNN was defined as the lowest tertile (≤22 ms). The primary outcome was 30-day all-cause mortality. The secondary outcome was 30-day readmission or mortality. ResultsAmong 721 patients included, low SDNN carried an 8-fold greater risk of 30-day mortality in univariate analysis (hazard ratio [HR] 8.3; P = .001); in multivariate analyses a 4-fold greater risk (HR 3.8; P = .037). Low SDNN was associated with the combined outcome of 30-day mortality or readmission (HR 1.5; P = .03) in multivariate analysis. In receiver operating characteristics analyses, low SDNN improved the predictive accuracy of early warning score for 30-day mortality or readmission from 0.63 to 0.71 (P = .008) but did not improve the accuracy for 30-day mortality alone. ConclusionsIn patients admitted due to acute medical illness, low heart rate variability predicted 30-day mortality and readmission, suggesting heart rate variability as a tool to identify patients at high and low risk of relevant endpoints.

Implementing Public Health Modules as an Approach to Improve Knowledge and Attitudes of Medical Students: A Student-Led, Multiyear Study.

Public health is a necessary focus of modern medical education. However, while numerous studies demonstrate benefits of public health education during medical school among self-selected students (i.e., those interested in public health), there are few educational models shown to be effective across the general medical student population. This study examined the effect of a multiyear, case-based, longitudinal online public health curriculum required for all medical students at an urban, research-focused U.S. medical school. The authors created 11 short public health modules to supplement a year-long, organ-based preclerkship course at Columbia University Vagelos College of Physicians and Surgeons. Beginning in 2020, all students were required to complete these modules, with repeated surveys to assess changes in attitudes and knowledge of public health over time. The authors compared responses for these domains before and after each module, across multiple time points throughout the year, and cross-sectionally to a 2019 cohort of students who were not provided the modules. Across 3 cohorts, 405 of 420 (96.4%) students provided responses and were included in subsequent analyses. After completing the modules, students reported perceiving a greater importance of public health to nearly every medical specialty ( P < .001), more positive attitudes toward public health broadly ( P < .001), and increased knowledge of public health content ( P < .001). These findings were consistent across longitudinal analysis of students throughout the year-long course and when compared to the cohort who did not complete the modules. Case-based, interactive, and longitudinal public health content can be effectively integrated into the required undergraduate medical education curriculum to improve all medical students' knowledge and perceptions of public health. Incorporating evidence-based public health education into medical training may help future physicians to better address the needs of the communities and populations in which they practice.

Acute blood loss anemia in hospitalized patients is associated with adverse outcomes: An analysis of the Nationwide Inpatient Sample

BackgroundAcute blood loss anemia is the most common form of anemia and often results from traumatic injuries or gastrointestinal bleeding. There are limited studies analyzing outcomes associated with acute blood loss anemia in hospitalized patients. MethodsThe Nationwide Inpatient Sample (NIS) was analyzed from 2010 to 2014 (n = 133,809). The impact of acute blood loss anemia on in-hospital mortality, length of stay (LOS), healthcare cost, and disposition was determined using regression modeling adjusted for age, gender, race, and comorbidities. ResultsHospitalized patients with acute blood loss anemia had significantly higher healthcare cost (adj OR 1.04; 95% CI: 1.04–1.05), greater lengths of stay (adj OR 1.18; 95% CI: 1.17–1.18), and were less likely to be discharged home compared to the general medical population (adj OR 0.27; 95% CI: 0.26–0.28). Acute blood loss anemia was associated with increased risk for mortality in unadjusted models (unadj 1.16; 95% CI: 1.12–1.20) but not in adjusted models (adj OR 0.91; 95% CI: 0.88–0.94). When analyzing comorbidities, a “muscle loss phenotype” had the strongest association with mortality in patients with acute blood loss anemia (adj OR 4.48; 95% CI: 4.35–4.61). The top five primary diagnostic codes associated with acute blood loss anemia were long bone fractures, GI bleeds, cardiac repair, sepsis, and OB/Gyn related causes. Sepsis had the highest association with mortality (18%, adj OR 2.59; 95% CI: 2.34–2.86) in those with acute blood loss anemia. ConclusionsAcute blood loss anemia is associated with adverse outcomes in hospitalized patients.

Quality of Surgical Care Within the Criminal Justice Health Care System

Individuals who are incarcerated represent a vulnerable group due to concerns about their ability to provide voluntary and informed consent, and there are considerable legal protections regarding their participation in medical research. Little is known about the quality of surgical care received by this population. To evaluate perioperative surgical care provided to patients who are incarcerated within the Texas Department of Criminal Justice (TDCJ) and compare their outcomes with that of the general nonincarcerated population. This cohort study analyzed data from patients who were incarcerated within the TDCJ and underwent general or vascular surgery at the University of Texas Medical Branch (UTMB) from 2012 to 2021. Case-specific outcomes for a subset of these patients and for patients in the general academic medical center population were obtained from the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) and compared. Additional quality metrics (mortality index, length of stay index, and excess hospital days) from the Vizient Clinical Data Base were analyzed for patients in the incarcerated and nonincarcerated groups who underwent surgery at UTMB in 2020 and 2021 to provide additional recent data. Patient-specific demographics, including age, sex, and comorbidities were not available for analysis within this data set. Perioperative outcomes (30-day morbidity, mortality, and readmission rates) were compared between the incarcerated and nonincarcerated groups using the Fisher exact test. The sample included data from 6675 patients who were incarcerated and underwent general or vascular surgery at UTMB from 2012 to 2021. The ACS-NSQIP included data (2012-2021) for 2304 patients who were incarcerated and 602 patients who were not and showed that outcomes were comparable between the TDCJ population and that of the general population treated at the academic medical center with regard to 30-day readmission (6.60% vs 5.65%) and mortality (0.91% vs 1.16%). However, 30-day morbidity was significantly higher in the TDCJ population (8.25% vs 5.48%, P = .01). The 2020 and 2021 data from the Vizient Clinical Data Base included 629 patients who were incarcerated and 2614 who were not and showed that the incarcerated and nonincarcerated populations did not differ with regard to 30-day readmission (12.52% vs 11.30%) or morbidity (1.91% vs 2.60%). Although the unadjusted mortality rate was significantly lower in the TDCJ population (1.27% vs 2.68%, P = .04), mortality indexes, which account for case mix index, were similar between the 2 populations (1.17 vs 1.12). Findings of this cohort study suggest that patients who are incarcerated have equivalent rates of mortality and readmission compared with a general academic medical center population. Future studies that focus on elucidating the potential factors associated with perioperative morbidity and exploring long-term surgical outcomes in the incarcerated population are warranted.

ENPP1 in Blood and Bone: Skeletal and Soft Tissue Diseases Induced by ENPP1 Deficiency.

The enzyme ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1) codes for a type 2 transmembrane glycoprotein that hydrolyzes extracellular ATP to generate pyrophosphate (PPi) and adenosine monophosphate, thereby contributing to downstream purinergic signaling pathways. The clinical phenotypes induced by ENPP1 deficiency are seemingly contradictory and include early-onset osteoporosis in middle-aged adults and life-threatening vascular calcifications in the large arteries of infants with generalized arterial calcification of infancy. The progressive overmineralization of soft tissue and concurrent undermineralization of skeleton also occur in the general medical population, where it is referred to as paradoxical mineralization to highlight the confusing pathophysiology. This review summarizes the clinical presentation and pathophysiology of paradoxical mineralization unveiled by ENPP1 deficiency and the bench-to-bedside development of a novel ENPP1 biologics designed to treat mineralization disorders in the rare disease and general medical population.

Mortality Prediction in Patients With or Without Heart Failure Using a Machine Learning Model

BackgroundMost risk prediction models are confined to specific medical conditions, thus limiting their application to general medical populations. ObjectivesThe MARKER-HF (Machine learning Assessment of RisK and EaRly mortality in Heart Failure) risk model was developed in heart failure (HF) patients. We assessed the ability of MARKER-HF to predict 1-year mortality in a large community-based hospital registry database including patients with and without HF. MethodsThis study included 41,749 consecutive patients who underwent echocardiography in a tertiary referral hospital (4,640 patients with and 37,109 without HF). Patients without HF were further subdivided into those with (n = 22,946) and without cardiovascular disease (n = 14,163) and also into cohorts based on recent acute coronary syndrome or history of atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, diabetes mellitus, hypertension, or malignancy. ResultsThe median age of the 41,749 patients was 65 years, and 56.2% were male. The receiver operated area under the curves for MARKER-HF prediction of 1-year mortality of patients with HF was 0.729 (95% CI: 0.706-0.752) and for patients without HF was 0.770 (95% CI: 0.760-0.780). MARKER-HF prediction of mortality was consistent across subgroups with and without cardiovascular disease and in patients diagnosed with acute coronary syndrome, atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, diabetes mellitus, or hypertension. Patients with malignancy demonstrated higher mortality at a given MARKER-HF score than did patients in the other groups. ConclusionsMARKER-HF predicts mortality for patients with HF as well as for patients suffering from a variety of diseases.

Medical Student Enrollment in a Voluntary Medical Innovation Course.

There is an increasing need for medical innovators to help address the growing challenges within health care. Despite this, the rate of adoption of new medical innovation programs at the United States (US) medical schools has been slow. Existing literature explaining this slow rate of adoption is scant. We examined the rate of student enrollment in a voluntary medical innovation course during an unscheduled summer at our institution and the educational backgrounds of these enrollees. This mixed qualitative and quantitative survey study comprised consecutive surveys quantifying a two-stage sign-up process for a voluntary summer medical innovation course for Medical Doctorate (MD) candidates at the David Geffen School of Medicine. After a "General interest" survey, interested students completed an "Enrollment" survey to indicate enrollment, educational background, and open-ended comment about motivations for enrollment. Surveys were administered electronically via email listservs. Statistical methods included chi squared testing with statistical significance defined as p < 0.05. A total of 12% of UCLA Class of 2024 expressed an interest in participation in the program, and 10.3% ultimately enrolled. Enrollees were motivated primarily by the opportunity to learn about medical innovation (72%) and also shadow (28%). Enrollees were similar in undergraduate degrees and majors to the general medical student class and US MD candidate population. A lack of medical student willingness to participate may not underlie the observed slow rate of adoption of medical innovation programs at US MD programs given the observed high voluntary enrollment rate. Enrollee educational background did not differ significantly from non-enrollees or the broader US MD candidate population. Educators should be encouraged by these data to explore student willingness to participate in medical innovation education at their institutions.

Hispanic/Latinx and Spanish Language Concordance Among Palliative Care Clinicians and Patients in Hospital Settings in California

Background: Members of racial or ethnic minority groups utilize palliative care (PC) services less than non-Hispanic White patients and multiple factors contribute to this disparity. The impact of racial, ethnic, and language (REL) concordance between patients and clinicians has been demonstrated in general medical populations, but not in PC populations. We characterized the racial and ethnic composition and languages spoken of California PC clinicians and patients to examine clinical impacts of REL concordance. Methods: Using Palliative Care Quality Network data, 15 inpatient teams were identified in California that had collected data on patient race/ethnicity and language. Patient and clinician data were analyzed using means and medians for continuous variables, and chi-squared tests to explore similarities and differences between clinician and patient data. Results: 51 clinicians from nine teams completed the survey. The largest non-White and non-English speaking groups among patients and clinicians identified as Hispanic/Latinx (31.5% of patients, 16.3% of clinicians) and as Spanish speakers (22.6% of patients, 7.5% of clinicians). There was a significantly higher proportion of Hispanic/Latinx patients compared to clinicians (p-value 0.01), with Southern California demonstrating the largest difference (30.4% of patients vs. 10.7 % of clinicians, p-value 0.01). Similar proportions of patients and clinicians reported Spanish fluency (22.6% vs 27.5%, p-value 0.31). Discussion: We found significant differences in the racial/ethnic distributions of Hispanic/Latinx patients and clinicians in California, prompting consideration of whether a lack of representation of Hispanic/Latinx clinicians relative to the patient population may contribute to lower palliative care utilization among Hispanic/Latinx patients.

Association of Eating and Sleeping Intervals With Weight Change Over Time: The Daily24 Cohort.

Background We aim to evaluate the association between meal intervals and weight trajectory among adults from a clinical cohort. Methods and Results This is a multisite prospective cohort study of adults recruited from 3 health systems. Over the 6-month study period, 547 participants downloaded and used a mobile application to record the timing of meals and sleep for at least 1 day. We obtained information on weight and comorbidities at each outpatient visit from electronic health records for up to 10 years before until 10 months after baseline. We used mixed linear regression to model weight trajectories. Mean age was 51.1 (SD 15.0) years, and body mass index was 30.8 (SD 7.8) kg/m2; 77.9% were women, and 77.5% reported White race. Mean interval from first to last meal was 11.5 (2.3) hours and was not associated with weight change. The number of meals per day was positively associated with weight change. The average difference in annual weight change (95% CI) associated with an increase of 1 daily meal was 0.28 kg (0.02-0.53). Conclusions Number of daily meals was positively associated with weight change over 6 years. Our findings did not support the use of time-restricted eating as a strategy for long-term weight loss in a general medical population.

ЗНАЧЕНИЕ ТЕРРИТОРИАЛЬНЫХ И СОЦИАЛЬНЫХ ОБЪЕКТОВ ПРИ ФОРМИРОВАНИИ РЕЗЕРВУАРОВ ТУБЕРКУЛЁЗНОЙ ИНФЕКЦИИ В МЕГАПОЛИСЕ

Significance. One of the key areas of TB prevention is work with household contacts, including epidemic monitoring and territorial assessment. However, approaches to dividing and defining the borders of the studied territories, assessing the impact of territorial objects on the risk of developing tuberculosis are undeveloped. It is important for analyzing dynamic changes in the epidemiology of tuberculosis within a particular territory and drawing up a plan of preventive measures. The purpose of the study was to analyze the relationship and impact of territorial objects within the borders of microterritories of a metropolis on TB spread in population of these territories. Material and methods: In 2021-2022, a longitudinal (retrospective-prospective) continuous spatial-epidemiological study of the epidemic situation of tuberculosis and latent tuberculosis infection was conducted. Results: The most significant parameters in the spread of tuberculosis infection are building density (p&lt;0.0001) and population density, territorial objects as shops, educational facilities, medical organizations, recreation areas. MDR-TB in patients does not have a significant effect on the spread. However, the incidence of tuberculosis and territorial facilities in the catchment area of a phthisiological unit affect the spread of latent tuberculosis infection in children. Conclusion: The hypothesis about the relationship and influence of territorial objects on the spread of tuberculosis infection among the population of microterritories was confirmed. Epidemiological assessment and monitoring of the supervised territories should be carried out using boundaries established according to the principles of the geographical field. Scope of application. The results obtained should be taken into account when assessing the epidemiological situation and determining the workload of the phthisiological service in megacities, which is directly related to financial planning and individualization of approaches to evaluate performance of the district service, optimize interdepartmental and intradepartmental interaction and develop principles of interaction with the general medical network and population of microterritories.

The Natural History of Asymptomatic Gallstones: A Longitudinal Study and Prediction Model

Despite the high prevalence of asymptomatic gallstones (AGs), there are limited data on their natural history. We aimed to determine the rate of symptom development in a contemporary population, determine factors associated with progression to symptomatic gallstones (SGs), and develop a clinical prediction model. We used a retrospective cohort design. The time to first SG was shown using Kaplan-Meier curves. Multivariable competing risk (death) regression analysis was used to identify variables associated with SGs. A prediction model for the development of SGs after 10 years was generated and calibration curves were plotted. Participants were patients with AGs based on ultrasound or computed tomography from the general medical population. From 1996 to 2016, 22,257 patients (51% female) with AGs were identified; 14.5% developed SG with a median follow-up period of 4.6 years. The cumulative incidence was 10.1% (±0.22%) at 5 years, 21.5% (±0.39%) at 10 years, and 32.6% (±0.83%) at 15 years. In a multivariable model, the strongest predictors of developing SGs were female gender (hazard ratio [HR], 1.50; 95% CI, 1.39-1.61), younger age (HR per 5 years, 1.15; 95% CI, 1.14-1.16), multiple stones (HR, 2.42; 95% CI, 2.25-2.61), gallbladder polyps (HR, 2.55; 95% CI, 2.14-3.05), large stones (HR, 2.03; 95% CI, 1.80-2.29), and chronic hemolytic anemia (HR, 1.90; 95% CI, 1.33-2.72). The model showed good discrimination (C-statistic, 0.70) and calibration. In general medical patients with AGs, symptoms developed at approximately 2% per year. A predictive model with good calibration could be used to inform patients of their risk of SGs.

Addressing Challenges in Recruiting Diverse Populations for Research: Practical Experience From a P20 Center.

Improving the recruitment and retention of underrepresented groups in all research areas is essential for health equity. However, achieving and retaining diverse samples is challenging. Barriers to recruitment and retention of diverse participants include socioeconomic and cultural factors and practical challenges (e.g., time and travel commitments). The purpose of this article is to describe the successful recruitment and retention strategies used by two related studies within a P20 center funded by the National Institute of Nursing Research focused on precision health research in diverse populations with multiple chronic conditions, including metabolic syndrome. To address the complexity, biodiversity, and effect of metabolic syndrome and multiple chronic conditions, we developed culturally appropriate, multipronged recruitment and retention strategies for a pilot intervention study and a longitudinal observational pilot study within our P20 center. The following are the underlying principles that guided the recruitment and retention strategies: (a) flexibility, (b) active listening and bidirectional conversations, and (c) innovative problem solving. The intervention study (Pilot 1) enrolled 49 participants. The longitudinal observational study (Pilot 2) enrolled 45 participants. Women and racial/ethnic minorities were significantly represented in both. In Pilot 1, most of the participants completed the intervention and all phases of data collection. In Pilot 2, most participants completed all phases of data collection and chose to provide biorepository specimens. We developed a recruitment and retention plan building on standard strategies for a general medical population. Our real-world experiences informed the adaption of these strategies to facilitate the participation of individuals who often do not participate in research-specifically, women and racial/ethnic populations. Our experience across two pilot studies suggests that recruiting diverse populations should build flexibility in the research plan at the outset.

Predicting inhospital admission at the emergency department: a systematic review

BackgroundED crowding has potential detrimental consequences for both patient care and staff. Advancing disposition can reduce crowding. This may be achieved by using prediction models for admission. This systematic review...

Contemporary outcomes for adults with AML requiring ICU admission.

7025 Background: Patients (pts) with AML frequently encounter life-threatening complications requiring transfer to an intensive care unit (ICU). Methods: Retrospective analysis of 145 adults with AML requiring ICU admission at our tertiary cancer center 2018-19. Use of life-sustaining therapies (LSTs) and overall survival (OS) were reported using descriptive statistics. Logistic regression was used to identify risk factors for in-hospital death. Results: Median age was 64 yrs (range 18-86). 47% of pts had an ECOG status of ≥ 2 with a median of at least 1 comorbidity (Table). 117 pts (81%) had active leukemia at admission. 68 pts (47%) had poor-risk cytogenetics (CG) and 32 (22%) had TP53-mutated disease. 61 (42%), 27 (19%) and 57 pts (39%) were receiving 1st, 2nd and ≥ 3rd line therapy. 33 (23%) and 70 pts (48%) were receiving intensive and lower-intensity chemotherapy, respectively, and 77 pts (53%) were concurrently on venetoclax. Most common indications for admission were sepsis (32%), respiratory failure (24%) and leukocytosis (12%); Table outlines additional ICU admission details. Median OS from the date of ICU admission was 2.0 months (mo) for the entire cohort and 6.9, 1.6 and 1.2 mo in pts with favorable-, intermediate- and poor-risk CG. Median OS of pts receiving frontline vs. ≥ 2nd line therapy was 4.2 vs. 1.4 mo (P&lt;0.001). Median OS in pts requiring 0-1 vs. 2-3 LSTs was 4.1 vs. 0.4 mo (P&lt;0.001). OS was not different by age, co-morbidity burden nor therapy intensity. In a multivariate analysis that included SOFA scores, only adverse CG (OR 0.35, P = 0.028), and need for intubation with mechanical ventilation (IMV; OR 0.19, P = 0.009) were associated with increased odds of in-hospital mortality. Conclusions: A substantial portion of pts with AML survive their ICU admission with sufficient functionality to return home and receive subsequent therapy. In contrast to general medical populations, age, co-morbidities, and SOFA scores were not independently predictive of in-hospital mortality. Disease CG risk and the need for IMV were the strongest predictors of ICU survival. This suggests that many pts with AML can benefit from ICU care.[Table: see text]

Prevalence of low computed tomography-measured skeletal muscle index and handgrip strength in a general medical population.

Sarcopenia is defined as the loss of muscle mass and function and has been associated with worsened outcomes, including disability and mortality. The aim of this study was to describe the prevalence of sarcopenia in patients who had an abdominal computed tomography (CT) scan completed within 7 days of hospital admission. A retrospective study was conducted. Adult patients admitted to either the general medical or surgical floor were included. Muscle function was assessed using handgrip strength (HGS, kg), completed within the first 48 hours of admission. Skeletal muscle index (SMI, kg/m2 ) at the third lumber region was calculated among patients who had an abdominal CT scan completed within 7 days of admission. Sarcopenia was identified by the combination of low SMI and HGS. The primary outcome was the percentage of patients diagnosed with sarcopenia. A total of 1318 patients were admitted; 11% (n = 141) had an abdominal CT scan completed within 7 days of admission. Only race and prevalence of malnutrition were different between patients who did and did not have a CT completed. The overall prevalence of sarcopenia was 13% (n = 18/141). Additionally, 39% of the sample was at risk for sarcopenia, with either low SMI (n = 13/141) or low HGS (n = 42/141). Overall prevalence of sarcopenia was low, but more than one-third of patients had either low SMI or low HGS. Minimal differences were observed between patients who did and did not have an abdominal CT scan completed upon admission.

Clinical impact of compound sarcopenia in hospitalized older adult patients with heart failure

Skeletal muscle loss or sarcopenia is a frequent complication in heart failure (HF) and contributes to adverse clinical outcomes. We evaluated if age (primary) and chronic disease (secondary) related sarcopenia, that we refer to as compound sarcopenia, impacts clinical outcomes in hospitalized patients with HF. Cross-sectional study using hospitalized patient data. Data from the Agency for Healthcare Research and Quality through the Healthcare Cost and Utilization Project (HCUP). Hospitalized adult patients with a primary or secondary diagnosis of HF (n= 64,476) and a concurrent random 2% sample of general medical population (GMP; n= 322,217) stratified by age (<50 years of age [y], 51-65y, >65y) from the Nationwide Inpatient Sample (NIS) database (years 2010-2014). In-hospital mortality, length of stay (LoS), cost of hospitalization per admission (CoH), comorbidities and discharge disposition, with and without muscle loss phenotype, were analyzed. Muscle loss phenotype was defined using a comprehensive code set from international classification of diseases-9 (ICD-9). Muscle loss phenotype was observed in 8673 (13.5%) patients with HF compared to 5213 (1.6%) GMP across all age strata. In patients with HF, muscle loss phenotype was associated with higher mortality, LoS, and CoH. Patients with HF (>65y) and muscle loss phenotype had higher mortality (adjusted OR: 1.81; 95% CI 1.56-2.10), CoH (adjusted OR 1.48; 95% CI 1.44-1.1.52), and LoS (adjusted OR 1.40; 95% CI 1.37-1.43) compared to >65y GMP with muscle loss phenotype. Muscle loss phenotype is more commonly associated with increasing age in hospitalized patients with HF. Clinical outcomes were significantly worse in patients with HF aged >65y compared to younger patients with HF and all age strata in GMP with and without a muscle loss phenotype.

Compound Sarcopenia in Hospitalized Patients with Cirrhosis Worsens Outcomes with Increasing Age.

Background: There are limited data on outcomes of older patients with chronic diseases. Skeletal muscle loss of aging (primary sarcopenia) has been extensively studied but the impact of secondary sarcopenia of chronic disease is not as well evaluated. Older patients with chronic diseases have both primary and secondary sarcopenia that we term compound sarcopenia. We evaluated the clinical impact of compound sarcopenia in hospitalized patients with cirrhosis given the increasing number of patients and high prevalence of sarcopenia in these patients. Design: The Nationwide Inpatients Sample (NIS) database (years 2010–2014) was analyzed to study older patients with cirrhosis. Since there is no universal hospital diagnosis code for “muscle loss”, we used a comprehensive array of codes for “muscle loss phenotype” in the international classification of diseases-9 (ICD-9). A randomly selected 2% sample of hospitalized general medical population (GMP) and inpatients with cirrhosis were stratified into 3 age groups based on age-related changes in muscle mass. In-hospital mortality, length of stay (LoS), cost of hospitalization (CoH), comorbidities and discharge disposition were analyzed. Results. Of 517,605 hospitalizations for GMP and 106,835 hospitalizations for treatment of cirrhosis or a cirrhosis-related complication, 207,266 (40.4%) GMP and 29,018 (27.7%) patients with cirrhosis were >65 years old, respectively. Muscle loss phenotype in both GMP and inpatients with cirrhosis 51–65 years old and >65 years old was significantly (p < 0.001 for all) associated with higher mortality, LoS, and CoH compared to those ≤50 years old. Patients >65 years old with cirrhosis and muscle loss phenotype had higher mortality (adjusted OR: 1.06, 95% CI [1.04, 1.08] and CoH (adjusted odds ratio (OR): 1.10, 95% confidence interval (CI) [1.04, 1.08])) when compared to >65 years old GMP with muscle loss phenotype. Muscle loss in younger patients with cirrhosis (≤50 years old) was associated with worse outcomes compared to GMP >65 years old. Non-home discharges (nursing, skilled, long-term care) were more frequent with increasing age to a greater extent in patients with cirrhosis with muscle loss phenotype for each age stratum. Conclusion: Muscle loss is more frequent in older patients with cirrhosis than younger patients with cirrhosis and older GMP. Younger patients with cirrhosis had clinical outcomes similar to those of older GMP, suggesting an accelerated senescence in cirrhosis. Compound sarcopenia in older patients with cirrhosis is associated with higher inpatient mortality, increased LoS, and CoH compared to GMP with sarcopenia.

Brain Injury in Critical Illness and a Note on the Virus

Brain Injury in Critical Illness and a Note on the Virus

Impact of Length of Stay on Readmission in Hospitalized Patients.

BackgroundReadmission and length of stay (LOS) are two hospital-level metrics commonly used to assess the performance of hospitalist groups. Healthcare systems implement strategies aimed at reducing both. It is possible that tactics aimed at improving one measure in individual patients may adversely impact the other. ObjectiveWe sought to analyze the impact of length of stay on readmission risk in an inpatient general medical population to assess whether patients with a lower length of stays were readmitted more frequently to the hospital.MethodsWe performed a retrospective analysis of inpatient adult patients admitted to our institution between January 2016 and December 2019. We recorded demographic variables and the outcomes of LOS and 30-day readmission. We excluded patients who expired, left against medical advice, or were transferred to other hospitals. We performed both univariate and multivariate analyses.ResultsThere were 91,723 patients included in the study of which 10,598 (11.6%) were readmitted. The geometric LOS for all patients was 5.37 days and was higher in readmitted patients (6.87 vs 5.18 days, respectively, p < 0.001). Patients with higher readmission rates were older, had a higher proportion of male gender, African-American ethnicity, and were more likely to have Medicare or Medicaid payors. After performing a multivariate regression analysis, we found that a high LOS was associated with a higher likelihood of readmission (P < 0.001).ConclusionContrary to our initial hypothesis, we found that general medical patients with a higher LOS had a higher likelihood of being readmitted to the hospital after adjusting for other variables. It is possible that factors not captured in the current dataset may help explain both the increase in LOS and readmission risk.

The Australian Injury Comorbidity Indices (AICIs) to predict in-hospital complications: A population-based data linkage study.

Hospital-admitted patients are at risk of experiencing certain adverse outcomes during their hospital-stay. Patients may need to be admitted to the intensive care unit or be placed on the ventilator while there is also a possibility for complications to develop. Pre-existing comorbidity could increase the risk of these outcomes. The Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Measure (ECM), originally derived for mortality outcomes among general medical populations, are widely used for assessing these in-hospital complications even among specific injury populations. This study derived indices to specifically capture the effect of comorbidity on intensive care unit and ventilator use as well as hospital-acquired complications for injury patients. Retrospective data on injury hospital-admissions from July 2012 to June 2014 (161,334 patients) for the state of Victoria, Australia was analysed. Results from multivariable regression analysis were used to derive the Australian Injury Comorbidity Indices (AICIs) for intensive care unit and ventilator hours and hospital-acquired complications. The AICIs, CCI and ECM were validated on data from Victoria and two other Australian states. Five comorbidities were significantly associated with intensive care unit hours, two with ventilator hours and fifteen with hospital-acquired complications for hospitalised injury patients. Not all diseases listed in the CCI or ECM were found to be associated with these outcomes. The AICIs performed equally well in terms of predictive ability to the long-listed ECM and in most instances outperformed the CCI. Associations between outcomes and comorbidities vary based on the type of outcome measure. The new comorbidity indices developed in this study provide a relevant, parsimonious and up-to-date method to capture the effect of comorbidity on in-hospital complications among admitted injury patients and is better suited for use in that context compared to the CCI and ECM.