Frequency and Clinical Implications of Referrals to Heart Failure Among Patients with Peripartum Cardiomyopathy.

Peripartum cardiomyopathy (PPCM) is a rare but significant cause of new-onset heart failure (HF) during the peri- and post-partum periods. Advances in GDMT for HF with reduced ventricular function have led to substantial improvements in survival and quality of life, yet few studies examine the longitudinal care received by patients with PPCM. The aim of this research is to address this gap by retrospectively characterizing patients with PPCM across a multihospital health system and investigating the frequency of cardiology and HF specialty referrals. Understanding whether surveillance and medical management differ among patients referred to HF will help to underscore the importance of referring patients with PPCM to HF specialists for optimal care.

Pain of local anesthetic injection of lidocaine during subsequent stages of Mohs micrographic surgery: A multicenter prospective cohort study.

BACKGROUND: Patients awake during staged cutaneous surgery procedures may experience procedure-related pain. OBJECTIVE: To determine whether the level of pain associated with local anesthetic injections prior to each Mohs stage increases with subsequent Mohs stages. METHODS: Multicenter longitudinal cohort study. Patients rated pain (visual analog scale: 1-10) after anesthetic injection preceding each Mohs stage. RESULTS: Two hundred fifty-nine adult patients presenting for Mohs who required multiple Mohs stages at 2 academic medical centers were enrolled; 330 stages were excluded due to complete anesthesia from prior stages, and 511 stages were analyzed. Mean visual analog scale pain ratings were nominally but not significantly different for subsequent stages of Mohs surgery (stage 1: 2.5; stage 2: 2.5; stage 3: 2.7: stage 4:2.8: stage 5: 3.2; P = .770). Between 37% and 44% experienced moderate pain, and 9.5% and 12.5% severe pain, during first as versus subsequent stages (P > .05) LIMITATIONS: Both academic centers were in urban areas. Pain rating is inherently subjective. CONCLUSIONS: Patients did not report significantly increased anesthetic injection pain level during subsequent stages of Mohs.

Difference in 30-Day Readmission Rates After Laparoscopic Sleeve Gastrectomy Versus Laparoscopic Roux-En-Y Gastric Bypass: a Propensity Score Matched Study Using ACS NSQIP Data (2015-2019).

PURPOSE: There are very few studies that have compared the short-term outcomes of laparoscopic Roux-en-Y gastric bypass (LRYGB) and laparoscopic sleeve gastrectomy (LSG). Among short-term outcomes, hospital readmission after these procedures is an area for quality enhancement and cost reduction. In this study, we compared 30-day readmission rates after LSG and LRYGB through analyzing a nationalized dataset. In addition, we identified the reasons of readmission. MATERIALS AND METHODS: The current study was a retrospective analysis of data from National Surgical Quality Improvement Program (NSQIP) All adult patients, ≥ 18 years of age and who had LSG or LRYGB during 2014 to 2019 were included. Current Procedural Terminology (CPT) codes were used to identify the procedures. Multivariate logistic regressions were used to calculate propensity score adjusted odds ratios (ORs) for all cause 30-day re-admissions. RESULTS: There were 109,900 patients who underwent laparoscopic bariatric surgeries (67.5% LSG and 32.5% LRYGB). Readmissions were reported in 4168 (3.8%) of the patients and were more common among RYGB recipients compared to LSG (5.6% versus 2.9%, P < 0.001). The odds of 30-day readmissions were significantly higher among LRYGB group compared to LSG group (AOR, 2.20; 95% CI; 1.83, 2.64). In addition, variables such as age, chronic obstructive pulmonary disease, hypertension, bleeding disorders, blood urea nitrogen, SGOT, alkaline phosphatase, hematocrit, and operation time were significantly predicting readmission rates. CONCLUSIONS: Readmission rates were significantly higher among those receiving LRYGB, compared to LSG. Readmission was also affected by many patient factors. The factors could help patients and providers to make informed decisions for selecting appropriate procedures.

Habitual sleep duration and its relationship with cardiovascular health, healthcare costs, and resource utilization in a working population.

OBJECTIVE: Little is known about the relationship between habitual sleep duration, cardiovascular health (CVH) and their impact on healthcare costs and resource utilization. We describe the relationship between sleep duration and ideal CVH, and the associated burden of healthcare expenditure and utilization in a large South Florida employee population free from known cardiovascular disease. METHODS: The study used data obtained from a 2014 voluntary Health Risk Assessment among 8629 adult employees of Baptist Health South Florida. Health expenditures and resource utilization information were obtained through medical claims data. Frequencies of the individual and cumulative CVH metrics across sleep duration were computed. Mean and marginal per-capita healthcare expenditures were estimated. RESULTS: The mean age was 43 years, 57% were of Hispanic ethnicity. Persons with 6-8.9hours and ≥9 hours of sleep were significantly more likely to report optimal goals for diet, physical activity, body mass index, and blood pressure when compared to those who slept less than 6 hours. Compared to those who slept less than 6 hours, those sleeping 6-8.9hours and ≥9hours had approximately 2- (odds ratio 2.1, 95% confidence interval: 1.9-3.0) and 3-times (odds ratio 3.0, 95% confidence interval: 1.6-5.6) higher odds of optimal CVH. Both groups with 6 or more hours of sleep had lower total per-capita expenditure (approximately $2000 and $2700 respectively), lower odds of visiting an emergency room, or being hospitalized compared to those who slept < 6 hours. CONCLUSION: Sleeping 6 or more hours was associated with better CVH, lower healthcare expenditures, and reduced healthcare resource utilization.

Hospital outcomes of patients receiving catheter ablation of atrial fibrillation, left atrial appendage closure, or both.

BACKGROUND: Catheter ablation (CA) and left atrial appendage closure (LAAC) require transseptal access; combining both in a single procedure may have advantages. However, the safety of this approach has not been extensively studied. The objective of this study was to compare in hospital outcomes among patients receiving CA, LAAC, and combination of both treatments on the same day. METHODS: We conducted a retrospective cohort analysis of the National Inpatient Sample database. The primary outcome was the presence of major adverse cardiovascular and cerebrovascular events (MACCE) during index hospitalization. Secondary outcomes included stroke, pericardial effusion, pericardiocentesis, and bleeding. RESULTS: A total of 69,285 hospitalizations with AF were included in the analysis, of which 71.7% received LAAC, 27.8% received CA, and 0.5% received combination of both treatments on the same day. MACEE (OR, 1.63; 95% CI, 0.39-6.70), stroke (OR, 2.98; 95% CI, 0.55-16.01), pericardial effusion (OR, 0.33; 95% CI, 0.07-1.41), pericardiocentesis (OR, 1.00; 95% CI, 0.25-3.86), and bleeding (OR, 3.25; 95% CI, 0.87-12.07) did not differ significantly between CA and combination treatment. Similarly, MACCE (OR, 1.11; 95% CI, 0.28-4.41), stroke (OR, 1.03; 95% CI, 0.24-4.35), pericardial effusion (OR, 0.45; 95% CI, 0.11-1.90), pericardiocentesis (OR, 0.63; 95% CI, 0.14-2.83), and bleeding (OR, 2.04; 95% CI, 0.65-6.39) did not differ significantly between LAAC and combination treatment. CONCLUSIONS: The combined approach is infrequently used in clinical practice (< 1%). However, major life-threatening adverse events did not differ between CA and LAAC when performed in isolation or combined in a single procedural stage on the same day.

Impact of COVID-19 on Intracranial Meningioma Resection: Results from California State Inpatient Database.

PURPOSE: To assess the effects of COVID-19 on hospitalizations for intracranial meningioma resection using a large database. METHODS: We conducted a retrospective analysis of the California State Inpatient Database (SID) 2019 and 2020. All adult (18 years or older) hospitalizations were included for the analysis. The primary outcomes were trends in hospitalization for intracranial meningioma resection between 2019 and 2020. Secondary outcomes were Clavien-Dindo grade IV complications, in-hospital mortality, and prolonged length of stay, which was defined as length of stay ≥75 percentile. RESULTS: There were 3,173,333 and 2,866,161 hospitalizations in 2019 and 2020, respectively (relative decrease, 9.7%), of which 921 and 788 underwent intracranial meningioma resection (relative decrease, 14.4%). In 2020, there were 94,114 admissions for COVID-19 treatment. Logistic regression analysis showed that year in which intracranial meningioma resection was performed did not show significant association with Clavien-Dindo grade IV complications and in-hospital mortality (OR, 1.23, 95% CI: 0.78-1.94) and prolonged length of stay (OR, 1.05, 95% CI: 0.84-1.32). CONCLUSION: Our findings show that neurosurgery practice in the US successfully adapted to the unforeseen challenges posed by COVD-19 and ensured the best quality of care to the patients.

Hospital Outcomes among COVID-19 Hospitalizations with Acute Ischemic Stroke: Cross-Sectional Study Results from California State Inpatient Database.

Coronavirus disease 2019 (COVID-19) could be a risk factor for acute ischemic stroke (AIS) due to the altered coagulation process and hyperinflammation. This study examined the risk factors, clinical profile, and hospital outcomes of COVID-19 hospitalizations with AIS. This study was a retrospective analysis of data from California State Inpatient Database (SID) during 2019 and 2020. COVID-19 hospitalizations with age ≥ 18 years during 2020 and a historical cohort without COVID-19 from 2019 were included in the analysis. The primary outcomes studied were in-hospital mortality and discharge to destinations other than home. There were 91,420 COVID-19 hospitalizations, of which, 1027 (1.1%) had AIS. The historical control cohort included 58,083 AIS hospitalizations without COVID-19. Conditional logistic regression analysis showed that the odds of in-hospital mortality, discharge to destinations other than home, DVT, pulmonary embolism, septic shock, and mechanical ventilation were significantly higher among COVID-19 hospitalizations with AIS, compared to those without AIS. The odds of in-hospital mortality, DVT, pulmonary embolism, septic shock, mechanical ventilation, and respiratory failure were significantly higher among COVID-19 hospitalizations with AIS, compared to AIS hospitalizations without COVID-19. Although the prevalence of AIS was low among COVID-19 hospitalizations, it was associated with higher mortality and greater rates of discharges to destinations other than home.

Hospital Outcomes Among COVID-19 Hospitalizations With Myocarditis from the California State Inpatient Database.

Many case reports have indicated that myocarditis could be a prognostic factor for predicting morbidity and mortality among patients with COVID-19. In this study, using a large database we examined the association between myocarditis among COVID-19 hospitalizations and in-hospital mortality and other adverse hospital outcomes. The present study was a retrospective analysis of data collected in the California State Inpatient Database during 2020. All hospitalizations for COVID-19 were included in the analysis and grouped into those with and without myocarditis. The outcomes were in-hospital mortality, cardiac arrest, cardiogenic shock, mechanical ventilation, and acute respiratory distress syndrome. Propensity score matching, followed by conditional logistic regression, was performed to find the association between myocarditis and outcomes. Among 164,417 COVID-19 hospitalizations, 578 (0.4%) were with myocarditis. After propensity score matching, the rate of in-hospital mortality was significantly higher among COVID-19 hospitalizations with myocarditis (30.0% vs 17.5%, p <0.001). Survival analysis with log-rank test showed that 30-day survival rates were significantly lower among those with myocarditis (39.5% vs 46.3%, p <0.001). Conditional logistic regression analysis showed that the odds of cardiac arrest (odds ratio [OR] 1.90, 95% confidence interval [CI] 1.16 to 3.14), cardiogenic shock (OR 4.13, 95% CI 2.14 to 7.99), mechanical ventilation (OR 3.30, 95% CI 2.47 to 4.41), and acute respiratory distress syndrome (OR 2.49, 95% CI 1.70 to 3.66) were significantly higher among those with myocarditis. Myocarditis was associated with greater rates of in-hospital mortality and adverse hospital outcomes among patients with COVID-19, and early suspicion is important for prompt diagnosis and management.

Voting behavior during FDA Medical Device Advisory Committee panel meetings.

OBJECTIVES: During premarket review, the US Food and Drug Administration may ask its Medical Device Advisory Committee (MDAC) Panels to assess the safety and effectiveness of medical devices being considered for approval. The objective of this study is to assess the relationship, if any, between individual votes and Panel recommendations and: (1) the composition of Panels, specifically the expertise and demographic features of individual members; or (2) Panel members' propensity to speak during Panel deliberations. METHODS: This was a retrospective cohort study of routinely collected data from voting members of MDAC panels convened between January 2011 to June 2016 to consider premarket approval. Data sources were verbatim transcripts available publicly from the FDA. Number of words spoken, directionality of votes on device approval, profession, and demographics were collected. RESULTS: 658,954 words spoken by 536 members during 49 meetings of 11 Panels were analyzed. Based on multivariate analysis, biostatisticians spoke more (+373 words; P = 0.0002), and women (-187 words; P = 0.0184) and other non-physician voting members less (-213 words; P = 0.0306), than physicians. Speaking more was associated with abstaining (P = 0.0179), and with voting against the majority (P = 0.0153). Non-physician, non-biostatistician members (P = 0.0109), and those having attended more meetings as a voting member (P = 0.0249) were more likely to vote against approval. In bivariable analysis, unanimous Panels had a greater proportion of biostatisticians (mean 0.1580; 95% CI 0.1237-0.1923) than non-unanimous Panels (0.1107; 95% CI 0.0912-0.1301; p = 0.0201). CONCLUSIONS: Panelists likely to vote against the majority include non-physician, non-biostatisticians; experienced Panelists; and more talkative members. The increased presence of biostatisticians on Panels leads to greater voting consensus. Having a diversity of opinions on Panels, including in sufficient numbers those members likely to dissent from majority views, may help ensure that a diversity of opinions are aired before decision-making.

Burden of maternal and fetal outcomes among pregnant cancer survivors during delivery hospitalizations in the United States.

Existing studies on pregnancy-related outcomes among cancer survivors are limited by sample size or specificity of the cancer type. This study estimated the burden of adverse maternal and fetal outcomes among pregnant cancer survivors using a national database. This study was a retrospective analysis of National Inpatient Sample collected during 2010-2014. Multivariate regression models were used to calculate odds ratios for maternal and fetal outcomes. The study included a weighted sample of 64,506 pregnant cancer survivors and 18,687,217 pregnant women without cancer. Pregnant cancer survivors had significantly higher odds for death during delivery hospitalization, compared to pregnant women without cancer (58 versus 5 deaths per 100,000 pregnancies). They also had higher odds of severe maternal morbidity (aOR 2.00 [95% CI 1.66-2.41]), cesarean section (aOR 1.27 [95% CI 1.19-1.37]), labor induction (aOR 1.17 [95% CI 1.07-1.29]), pre-eclampsia (aOR 1.18 [95% CI 1.02-1.36]), preterm labor (aOR 1.55 [95% CI 1.36-1.76]), chorioamnionitis (aOR 1.45 [95% CI 1.15-1.82]), postpartum infection (aOR 1.68 [95% CI 1.21-2.33]), venous thromboembolism (aOR 3.62 [95% CI 2.69-4.88]), and decreased fetal movements (aOR 1.67 [95% CI 1.13-2.46]). This study showed that pregnancy among cancer survivors constitutes a high-risk condition requiring advanced care and collective efforts from multiple subspecialties.

Effect of frailty on hospital outcomes among patients with cancer in the United States: Results from the National Inpatient Sample.

INTRODUCTION: To understand the effects of frailty on hospital outcomes such as in-hospital mortality, length of stay, and healthcare cost among patients with cancer using a nationally representative database. MATERIALS AND METHODS: This study was a retrospective observational analysis of Nationwide Inpatient Sample (NIS) data collected during 2005-2014. Participants included adult patients with cancer ≥45 years identified by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. 'Frail' versus 'non-frail' hospitalizations were determined using the Johns Hopkins Adjusted Clinical Groups (ACG) frailty-defining diagnosis indicator. Main outcome measures were in-hospital mortality, hospital length of stay, and hospitalization cost. We defined prolonged length of stay as hospital stay ≥75th percentile of the study sample. Propensity score match analysis was done to examine whether frailty was associated with length of stay and in-hospital mortality. RESULTS: There were 10,463,083 cancer hospitalizations during 2005-2014, of which 1,022,777 (9.8%) were frail. Patients having length of stay ≥8 days were significantly higher among frail group, compared to non-frail group (53.3% versus 25.3%, P < 0.001). Similarly, unadjusted mortality (12.0% versus 5.3%, P < 0.001) and hospitalization costs ($29,726 versus $18,595, P < 0.001) were significantly higher for frail patients. Nearly $28 billion was expended on hospitalization of frail patients with cancer during the study period. In propensity score match analysis, the odds of in-hospital mortality (odds ratio [OR], 1.54; 95% confidence interval [CI], 1.50-1.58) and length of stay (OR, 2.23; 95% CI, 2.18-2.27) were significantly greater for frail patients. DISCUSSION: Frailty was associated with adverse hospital outcomes such as increased length of stay, mortality, and hospitalization cost among all cancer types. Our findings could be valuable for frailty-based risk stratification of patients with cancer. Concerted efforts by the physiatrists, oncologists, and surgeons towards identifying frailty and incorporating it in risk estimation measures could help in optimizing management strategies for cancer.

Relationship of Blood and Urinary Manganese Levels with Cognitive Function in Elderly Individuals in the United States by Race/Ethnicity, NHANES 2011-2014.

Manganese (Mn) is an essential metal with a biphasic relationship with health outcomes. High-level exposure to Mn is associated with manganism, but few data explore the effects of chronic, lower-level Mn on cognitive function in adults. We sought to determine the relationship between blood/urinary manganese levels and cognitive function in elderly individuals using 2011-2014 data from the National Health and Nutrition Examination Survey (NHANES). Weighted multivariate regression models were used to determine correlations, adjusting for several covariates. Blood Mn was inversely associated with the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) immediate learning of new verbal information (p-value = 0.04), but lost significance after adjusting for medical history (p-value = 0.09). In addition, blood Mn was inversely associated with Animal Fluency scores after adjusting for all covariates. Urinary Mn was inversely associated with CERAD immediate learning after adjusting for all covariates (p-value = 0.01) and inversely associated with the Digit Symbol Substitution Test scores (p-value = 0.0002), but lost significance after adjusting for medical history (p-value = 0.13). Upon stratifying by race/ethnicity, other Races and Non-Hispanic (NH)-Blacks had significantly higher blood Mn levels when compared to NH-Whites. Collectively, these findings suggest that increased blood and urinary Mn levels are associated with poorer cognitive function in an elderly US population.

Obstetric outcomes during delivery hospitalizations among obese pregnant women in the United States.

The rates of both maternal and fetal adverse outcomes increase significantly with higher body mass index. The aim of this study was to calculate national estimates of adverse maternal and fetal outcomes and associated hospitalization cost among obese pregnant women using a national database. This study was a retrospective analysis of data retrieved from Nationwide Inpatient Sample database, collected during 2010-2014. The primary outcomes of this study were adverse maternal and fetal outcomes, hospital length of stay, and hospitalization cost. There was a total of 18,687,217 delivery-related hospitalizations, of which 1,048,323 were among obese women. Obese women were more likely to have cesarean deliveries (aOR 1.70, 95% CI 1.62-1.79) and labor inductions (aOR 1.51, 95% CI 1.42-1.60), greater length of stay after cesarean deliveries (aOR 1.14, 95% CI 1.08-1.36) and vaginal deliveries (aOR 1.48, 95% CI 1.23-1.77). They were also more likely to have pregnancy-related hypertension, preeclampsia, gestational diabetes, premature rupture of membranes, chorioamnionitis, venous thromboembolism, excessive fetal growth, and fetal distress. Obese pregnant women had significantly greater risk for adverse obstetrical outcomes, which substantially increased the hospital and economic burden. Risk stratification of pregnant patients based on obesity could also help obstetricians to make better clinical decisions and improve patient outcomes.

Hospitalization rates from radiotherapy complications in the United States.

Hospitalizations due to radiotherapy (RT) complications result in significant healthcare expenditures and adversely affect the quality of life of cancer patients. Using a nationally representative dataset, the objective of this study is to identify trends in the incidence of these hospitalizations, their causes, and the resulting financial burden. Data from the National Inpatient Sample was retrospectively analyzed from 2005 to 2016. RT complications were identified using ICD-9 and ICD-10 external cause-of-injury codes. The hospitalization rate was the primary endpoint, with cost and in-hospital death as secondary outcomes. 443,222,223 weighted hospitalizations occurred during the study period, of which 482,525 (0.11%) were attributed to RT. The 3 most common reasons for RT-related hospitalization were cystitis (4.8%, standard error [SE] = 0.09), gastroenteritis/colitis (3.7%, SE = 0.07), and esophagitis (3.5%, SE = 0.07). Aspiration pneumonitis (1.4-fold) and mucositis (1.3-fold) had the highest relative increases among these hospitalizations from 2005 to 2016, while esophagitis (0.58-fold) and disorders of the rectum and anus were the lowest (0.67-fold). The median length of stay of patient for hospitalization for RT complications was 4.1 (IQR, 2.2-7.5) days and the median charge per patient was $10,097 (IQR, 5755-18,891) and the total cost during the study period was $4.9 billion. Hospitalization for RT-related complications is relatively rare, but those that are admitted incur a substantial cost. Use of advanced RT techniques should be employed whenever possible to mitigate the risk of severe toxicity and therefore reduce the need to admit patients.

Stroke Genomics: Current Knowledge, Clinical Applications and Future Possibilities.

The pathophysiology of stoke involves many complex pathways and risk factors. Though there are several ongoing studies on stroke, treatment options are limited, and the prevalence of stroke is continuing to increase. Understanding the genomic variants and biological pathways associated with stroke could offer novel therapeutic alternatives in terms of drug targets and receptor modulations for newer treatment methods. It is challenging to identify individual causative mutations in a single gene because many alleles are responsible for minor effects. Therefore, multiple factorial analyses using single nucleotide polymorphisms (SNPs) could be used to gain new insight by identifying potential genetic risk factors. There are many studies, such as Genome-Wide Association Studies (GWAS) and Phenome-Wide Association Studies (PheWAS) which have identified numerous independent loci associated with stroke, which could be instrumental in developing newer drug targets and novel therapies. Additionally, using analytical techniques, such as meta-analysis and Mendelian randomization could help in evaluating stroke risk factors and determining treatment priorities. Combining SNPs into polygenic risk scores and lifestyle risk factors could detect stroke risk at a very young age and help in administering preventive interventions.

A Brief Overview of Adaptive Designs for Phase I Cancer Trials.

Phase I studies are used to estimate the dose-toxicity profile of the drugs and to select appropriate doses for successive studies. However, literature on statistical methods used for phase I studies are extensive. The objective of this review is to provide a concise summary of existing and emerging techniques for selecting dosages that are appropriate for phase I cancer trials. Many advanced statistical studies have proposed novel and robust methods for adaptive designs that have shown significant advantages over conventional dose finding methods. An increasing number of phase I cancer trials use adaptive designs, particularly during the early phases of the study. In this review, we described nonparametric and algorithm-based designs such as traditional 3 + 3, accelerated titration, Bayesian algorithm-based design, up-and-down design, and isotonic design. In addition, we also described parametric model-based designs such as continual reassessment method, escalation with overdose control, and Bayesian decision theoretic and optimal design. Ongoing studies have been continuously focusing on improving and refining the existing models as well as developing newer methods. This study would help readers to assimilate core concepts and compare different phase I statistical methods under one banner. Nevertheless, other evolving methods require future reviews.

Trends in quality of primary care in the United States, 2007-2016.

During the past decade, many reforms were proposed and implemented for improving primary care in the US. This study assessed improvements in quality of primary care, using a nationally representative database. We conducted a retrospective trend analysis of National Inpatient Sample data (2007-2016). The quality of primary care was assessed using Prevention Quality Indicators (PQIs), which consist of 13 sets of preventable hospitalization conditions. PQI hospitalization decreased from 154,565 to 151,168 per million hospitalizations during the study period (relative decrease, 2.2%; P = 0.041). Age-adjusted hospitalization rate increased for diabetes short-term complications (relative increase, 46.9%; P < 0.001) and lower-extremity amputations (relative increase, 15.1%; P = 0.035). Age stratified trends showed that hospitalization rates decreased significantly in all age-groups for diabetes short-term complications. For lower-extremity amputations, hospitalization rates increased significantly in younger age groups and decreased significantly in the older age groups. All other PQIs showed either decreasing or no change in trends. Adults aged 18-64 years should be the focus for future prevention attempts for diabetes complications. Identifying and acting on the factors responsible for these changes could help in reversing the concerning trends observed in this study. Existing strategies should focus on improving access to diabetes care and self-management.

Impact of Frailty on Hospital Outcomes Among Patients with Lymphoid Malignancies Receiving Autologous Hematopoietic Stem Cell Transplantation in the United States.

BACKGROUND: Frailty could affect outcomes of autologous hematopoietic stem cell transplantation (aHSCT). This study sought to examine the effects of frailty on hospital outcomes among patients with non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), and multiple myeloma (MM) who received aHSCT. MATERIALS AND METHODS: This study was a retrospective analysis of Nationwide Inpatient Sample database, 2005 to 2014. Outcome variables were in-hospital mortality, prolonged length of stay and hospitalization cost. Frail patients were defined using the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnosis indicator. RESULTS: There were 20,573 NHL, 8,974 HL, and 40,750 MM patients. Among them, 5.5% NHL, 3.8% HL, and 4.8% MM patients were frail. Among patients with NHL, there were significant associations between frailty and in-hospital mortality (Odds Ratio [OR], 4.04, 95% CI: 2.11-7.76), and prolonged length of stay (OR, 2.32, 95% CI: 1.56-3.46). Similarly, among HL, there were significant associations between frailty and in-hospital mortality (OR, 1.82, 95% CI: 1.43-2.76), and prolonged length of stay (OR, 1.55, 95% CI: 1.34-2.84). Likewise, for MM, there were significant associations between frailty and in-hospital mortality (OR, 4.28, 95% CI: 2.16-8.48), and prolonged length of stay (OR, 3.00, 95% CI: 2.00-4.51). These associations remained significant after stratifying by age and comorbidities. Significant differences were observed in hospitalization cost between frail and non-frail patients. CONCLUSION: Among patients with lymphoid malignancies undergoing HSCT, frailty was associated with greater in-hospital mortality, longer length of stay, and higher hospitalization costs. Comprehensive health status assessments for identifying and managing frail patients in this population could improve patient outcomes.