Faculty Bibliography
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241
Long-Term Effects of Cognitive-Behavioral Therapy and Yoga for Worried Older Adults
OBJECTIVES/OBJECTIVE:Cognitive-behavioral therapy (CBT) and yoga decrease worry and anxiety. There are no long-term data comparing CBT and yoga for worry, anxiety, and sleep in older adults. The impact of preference and selection on these outcomes is unknown. In this secondary data analysis, we compared long-term effects of CBT by telephone and yoga on worry, anxiety, sleep, depressive symptoms, fatigue, physical function, social participation, and pain; and examined preference and selection effects. DESIGN/METHODS:In this randomized preference trial, participants (N = 500) were randomized to a: 1) randomized controlled trial (RCT) of CBT or yoga (n = 250); or 2) preference trial (selected CBT or yoga; n = 250). Outcomes were measured at baseline and Week 37. SETTING/METHODS:Community. PARTICIPANTS/METHODS:Community-dwelling older adults (age 60+ years). INTERVENTIONS/METHODS:CBT (by telephone) and yoga (in-person group classes). MEASUREMENTS/METHODS: CONCLUSIONS:CBT and yoga both demonstrated maintained improvements from baseline on multiple outcomes six months after intervention completion in a large sample of older adults. TRIAL REGISTRATION/BACKGROUND:www. CLINICALTRIALS/RESULTS:gov Identifier NCT02968238.
PMID: 35260292
ISSN: 1545-7214
CID: 5220922
Coronavirus Disease 2019 and the Injured Patient: A Multicenter Review
INTRODUCTION/BACKGROUND:Coronavirus disease 2019 (COVID-19) has been shown to affect outcomes among surgical patients. We hypothesized that COVID-19 would be linked to higher mortality and longer length of stay of trauma patients regardless of the injury severity score (ISS). METHODS:We performed a retrospective analysis of trauma registries from two level 1 trauma centers (suburban and urban) from March 1, 2019, to June 30, 2019, and March 1, 2020, to June 30, 2020, comparing baseline characteristics and cumulative adverse events. Data collected included ISS, demographics, and comorbidities. The primary outcome was time from hospitalization to in-hospital death. Outcomes during the height of the first New York COVID-19 wave were also compared with the same time frame in the prior year. Kaplan-Meier method with log-rank test and Cox proportional hazard models were used to compare outcomes. RESULTS:There were 1180 trauma patients admitted during the study period from March 2020 to June 2020. Of these, 596 were never tested for COVID-19 and were excluded from the analysis. A total of 148 COVID+ patients and 436 COVID- patients composed the 2020 cohort for analysis. Compared with the 2019 cohort, the 2020 cohort was older with more associated comorbidities, more adverse events, but lower ISS. Higher rates of historical hypertension, diabetes, neurologic events, and coagulopathy were found among COVID+ patients compared with COVID- patients. D-dimer and ferritin were unreliable indicators of COVID-19 severity; however, C-reactive protein levels were higher in COVID+ relative to COVID- patients. Patients who were COVID+ had a lower median ISS compared with COVID- patients, and COVID+ patients had higher rates of mortality and longer length of stay. CONCLUSIONS:COVID+ trauma patients admitted to our two level 1 trauma centers had increased morbidity and mortality compared with admitted COVID- trauma patients despite age and lower ISS. C-reactive protein may play a role in monitoring COVID-19 activity in trauma patients. A better understanding of the physiological impact of COVID-19 on injured patients warrants further investigation.
PMCID:9263818
PMID: 36084394
ISSN: 1095-8673
CID: 5337332
Clinical journal of the American Society of Nephrology : CJASN. 2022:17(7):1017-1025.DOI: 10.2215/CJN.16481221
Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis
BACKGROUND AND OBJECTIVES/OBJECTIVE:Left ventricular ejection fraction is disrupted in patients on maintenance hemodialysis and can be estimated using deep learning models on electrocardiograms. Smaller sample sizes within this population may be mitigated using transfer learning. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS/METHODS:) pretrained on patients not on hemodialysis and fine-tuned on patients on hemodialysis. We assessed the ability of the models to classify left ventricular ejection fraction into clinically relevant categories of ≤40%, 41% to ≤50%, and >50%. We compared performance by area under the receiver operating characteristic curve. RESULTS:=1309), respectively. For the same tasks, model 1 achieved area under the receiver operating characteristic curves of 0.74, 0.55, and 0.71, respectively; model 2 achieved area under the receiver operating characteristic curves of 0.71, 0.55, and 0.69, respectively, and model 3 achieved area under the receiver operating characteristic curves of 0.80, 0.51, and 0.77, respectively. We found that predictions of left ventricular ejection fraction by the transfer learning model were associated with mortality in a Cox regression with an adjusted hazard ratio of 1.29 (95% confidence interval, 1.04 to 1.59). CONCLUSION/CONCLUSIONS:A deep learning model can determine left ventricular ejection fraction for patients on hemodialysis following pretraining on electrocardiograms of patients not on hemodialysis. Predictions of low ejection fraction from this model were associated with mortality over a 5-year follow-up period. PODCAST/UNASSIGNED:This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_06_06_CJN16481221.mp3.
PMID: 35667835
ISSN: 1555-905x
CID: 5248242
Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals
Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (nDM = 178,691, nnoDM = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.
PMCID:9192715
PMID: 35697829
ISSN: 2399-3642
CID: 5290962
"Impact of the COVID pandemic on the incidence of prematurity: Critical role of gestational age and environment." [Letter]
PMID: 35218696
ISSN: 1097-6868
CID: 5172662
Utility of Diabetes Type-Specific Genetic Risk Scores for the Classification of Diabetes Type Among Multiethnic Youth
OBJECTIVE:Genetic risk scores (GRS) aid classification of diabetes type in White European adult populations. We aimed to assess the utility of GRS in the classification of diabetes type among racially/ethnically diverse youth in the U.S. RESEARCH DESIGN AND METHODS/METHODS:We generated type 1 diabetes (T1D)- and type 2 diabetes (T2D)-specific GRS in 2,045 individuals from the SEARCH for Diabetes in Youth study. We assessed the distribution of genetic risk stratified by diabetes autoantibody positive or negative (DAA+/-) and insulin sensitivity (IS) or insulin resistance (IR) and self-reported race/ethnicity (White, Black, Hispanic, and other). RESULTS:T1D and T2D GRS were strong independent predictors of etiologic type. The T1D GRS was highest in the DAA+/IS group and lowest in the DAA-/IR group, with the inverse relationship observed with the T2D GRS. Discrimination was similar across all racial/ethnic groups but showed differences in score distribution. Clustering by combined genetic risk showed DAA+/IR and DAA-/IS individuals had a greater probability of T1D than T2D. In DAA- individuals, genetic probability of T1D identified individuals most likely to progress to absolute insulin deficiency. CONCLUSIONS:Diabetes type-specific GRS are consistent predictors of diabetes type across racial/ethnic groups in a U.S. youth cohort, but future work needs to account for differences in GRS distribution by ancestry. T1D and T2D GRS may have particular utility for classification of DAA- children.
PMID: 35312757
ISSN: 1935-5548
CID: 5220322
Journal of occupational & environmental medicine. 2022:64(3):e136-e144.DOI: 10.1097/JOM.0000000000002467
The Effect of Abuse and Mistreatment on Healthcare Providers (TEAM): A Survey Assessing the Prevalence of Aggression From Patients and Their Families and Its Impact
OBJECTIVE:Aggression from patients and families on health care providers (HCP) is common yet understudied. We measured its prevalence and impact on HCPs in inpatient and outpatient settings. METHODS:Four thousand six hundred seven HCPs employed by a community teaching hospital received an anonymous survey with results analyzed. RESULTS:Of 1609 HCPs (35%) completing the survey, 88% of inpatient staff reported experiencing different types of aggression compared to 82% in outpatient setting. Almost half did not report it to their supervisor. Younger staff were more likely to report abuse. Negative impacts on productivity and patient care were reported. A third of all responders' indicated negative effects on mental health. CONCLUSIONS:Despite negative impacts on staff wellbeing and productivity, patient/family aggression toward HCPs is highly prevalent and underreported. Our healthcare system needs measures to address staff security and wellness.
PMID: 34935679
ISSN: 1536-5948
CID: 5203382
Employment status at transplant influences ethnic disparities in outcomes after deceased donor kidney transplantation
BACKGROUND:African American (AA) recipients of deceased-donor (DD) kidney transplants (KT) have shorter allograft survival than recipients of other ethnic groups. Reasons for this disparity encompass complex interactions between donors and recipients characteristics. METHODS:Outcomes from 3872 AA and 19,719 European American (EA) DDs who had one kidney transplanted in an AA recipient and one in an EA recipient were analyzed. Four donor/recipient pair groups (DRP) were studied, AA/AA, AA/EA, EA/AA, and EA/EA. Survival random forests and Cox proportional hazard models were fitted to rank and evaluate modifying effects of DRP on variables associated with allograft survival. These analyses sought to identify factors contributing to the observed disparities in transplant outcomes among AA and EA DDKT recipients. RESULTS:Transplant era, discharge serum creatinine, delayed graft function, and DRP were among the top predictors of allograft survival and mortality among DDKT recipients. Interaction effects between DRP with the kidney donor risk index and transplant era showed significant improvement in allograft survival over time in EA recipients. However, AA recipients appeared to have similar or poorer outcomes for DDKT performed after 2010 versus before 2001; allograft survival hazard ratios (95% CI) were 1.15 (0.74, 1.76) and 1.07 (0.8, 1.45) for AA/AA and EA/AA, compared to 0.62 (0.54, 0.71) and 0.5 (0.41, 0.62) for EA/EA and AA/EA DRP, respectively. Recipient mortality improved over time among all DRP, except unemployed AA/AAs. Relative to DDKT performed pre-2001, employed AA/AAs had HR = 0.37 (0.2, 0.69) versus 0.59 (0.31, 1.11) for unemployed AA/AA after 2010. CONCLUSION/CONCLUSIONS:Relative to DDKT performed before 2001, similar or worse overall DCAS was observed among AA/AAs, while EA/EAs experienced considerable improvement regardless of employment status, KDRI, and EPTS. AA recipients of an AA DDKT, especially if unemployed, had worse allograft survival and mortality and did not appear to benefit from advances in care over the past 20 years.
PMCID:8722061
PMID: 34979953
ISSN: 1471-2369
CID: 5106882
The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in the SEARCH for Diabetes in Youth Study
OBJECTIVE:To estimate difference in population-level glycemic control and the emergence of diabetes complications given a theoretical scenario in which non-White youth and young adults (YYA) with type 1 diabetes (T1D) receive and follow an equivalent distribution of diabetes treatment regimens as non-Hispanic White YYA. RESEARCH DESIGN AND METHODS/METHODS:) and the prevalence of diabetes complications for non-White YYA. RESULTS:< 0.05), although the low proportion of YYA who developed complications limited statistical power for risk estimations. CONCLUSIONS:Mathematically modeling an equalized distribution of T1D self-management tools and technology accounted for part of but not all disparities in glycemic control between non-White and White YYA, underscoring the complexity of race and ethnicity-based health inequity.
PMID: 34728528
ISSN: 1935-5548
CID: 5037372
Global advances in health & medicine : improving healthcare outcomes worldwide. 2022:11.DOI: 10.1177/2164957X221100405
A Randomized Preference Trial Comparing Cognitive-Behavioral Therapy and Yoga for the Treatment of Late-Life Worry: Examination of Impact on Depression, Generalized Anxiety, Fatigue, Pain, Social Participation, and Physical Function
Background/UNASSIGNED:Depression, generalized anxiety, fatigue, diminished physical function, reduced social participation, and pain are common for many older adults and negatively impact quality of life. The purpose of the overall trial was to compare the effects of cognitive-behavioral therapy (CBT) and yoga on late-life worry, anxiety, and sleep; and examine preference and selection effects on these outcomes. Objective/UNASSIGNED:The present analyses compared effects of the 2 interventions on additional outcomes (depressive symptoms, generalized anxiety symptoms, fatigue, pain interference/intensity, physical function, social participation); and examined whether there are preference and selection effects for these treatments. Methods/UNASSIGNED:A randomized preference trial of CBT and yoga was conducted in adults ≥60 years who scored ≥26 on the Penn State Worry Questionnaire-Abbreviated (PSWQ-A), recruited from outpatient medical clinics, mailings, and advertisements. Cognitive-behavioral therapy consisted of 10 weekly telephone sessions. Yoga consisted of 20 bi-weekly group yoga classes. Participants were randomized to(1): a randomized controlled trial (RCT) of CBT or yoga (n = 250); or (2) a preference trial in which they selected their treatment (CBT or yoga; n = 250). Outcomes were measured at baseline and post-intervention. Results/UNASSIGNED:< .01]. Depressive symptoms, generalized anxiety, and fatigue showed clinically meaningful within-group changes in both groups. There were no changes in or difference between physical function or social participation for either group. No preference or selection effects were found. Conclusion/UNASSIGNED:Both CBT and yoga may be useful for older adults for improving psychological symptoms and fatigue. Cognitive-behavioral therapy may offer even greater benefit than yoga for decreasing pain.
PMCID:9118438
PMID: 35601466
ISSN: 2164-957x
CID: 5283742
