Medical Center Research Articles

Changes in Service Use After Participation in an Intensive Outpatient Program Among Adults With Posttraumatic Stress Disorder.

Intensive outpatient programs (IOPs) have been shown to reduce posttraumatic stress disorder (PTSD) symptoms in veteran populations. The aim of this study was to examine the association between IOP participation and inpatient psychiatric and mental health-related emergency department (ED) encounters among patients with PTSD. This is a retrospective cohort study among 258 adults with PTSD who participated in the IOP at Kaiser Permanente Oakland Medical Center between January 1, 2017, and December 31, 2018. The authors compared changes in inpatient psychiatric hospitalizations and mental health-related ED encounters from the year before vs after the first IOP engagement. Bivariate analyses comparing ED and inpatient utilization pre- and post-IOP engagement, stratified by sociodemographic variables were conducted using paired t-tests and McNemar's test. Conditional multivariable logistic regression was performed to assess the odds of psychiatric utilization. Participants were more likely to have ≥ 1 inpatient psychiatric encounter (28.7% vs 15.9%; p < 0.01) and ≥ 1 mental health-related ED encounter (24.8% vs 18.2%; p = 0.04) pre-IOP vs post-IOP. The authors' multivariable analysis demonstrated that patients experienced a 56% reduction in the odds of inpatient psychiatric encounters (adjusted odds ratio = 0.42, 95% confidence interval: 0.26-0.68, p < 0.01) and a 35% reduction in mental health-related ED encounters (adjusted odds ratio = 0.63, 95% confidence interval: 0.40-1.00, p = 0.05) post-IOP vs pre-IOP. This study demonstrated a significant reduction in inpatient psychiatric hospitalizations and mental health-related ED visits among patients with PTSD in the year following participation in an IOP. These findings support the use of IOPs for patients with PTSD to reduce the likelihood of intensive service use.

Clinical Outcomes of Rural Patients with Diabetes Treated by ECHO-Trained Providers Versus an Academic Medical Center.

Despite clinical practice guidelines prioritizing cardiorenal risk reduction, national trends in diabetes outcomes, particularly in rural communities, do not mirror the benefits seen in clinical trials with emerging therapeutics and technologies. Project ECHO supports implementation of guidelines in under-resourced areas through virtual communities of practice, sharing of best practices, and case-based learning. We hypothesized that diabetes outcomes of patients treated by ECHO-trained primary care providers (PCPs) would be similar to those of patients treated by specialists at an academic medical center. Specialists from the University of New Mexico (UNM) launched a weekly diabetes ECHO program to mentor dyads consisting of a PCP and community health worker at ten rural clinics. We compared cardiorenal risk factor changes in patients with diabetes treated by ECHO-trained dyads to patients treated by specialists at the UNM Diabetes Comprehensive Care Center (DCCC). Eligible participants included adults with type 1 diabetes, type 2 diabetes on insulin, or diabetes of either type with A1c > 9%. The primary outcome was change from baseline in A1c in the ECHO and DCCC cohorts. Secondary outcomes included changes in body mass index (BMI), blood pressure, cholesterol, and urine albumin to creatinine ratio (UACR). Compared to the DCCC cohort (n = 151), patients in the ECHO cohort (n = 856) experienced greater A1c reduction (-1.2% vs -0.6%; p = 0.02 for difference in difference). BMI decreased in the Endo ECHO cohort and increased in the DCCC cohort (-0.2 vs. +1.3 kg/m2; p = 0.003 for difference in difference). Diastolic blood pressure declined in the Endo ECHO cohort only. Improvements of similar magnitude were observed in low-density lipoprotein cholesterol in both groups. UACR remained stable in both groups. ECHO may be a suitable intervention for improving diabetes outcomes in rural, under-resourced communities with limited access to a specialist.

Acute Kidney Injury in Systemic Sclerosis Beyond Scleroderma Renal Crisis: A Case-Control Study.

Renal involvement in systemic sclerosis remains a significant concern with the focus often centered on scleroderma renal crisis (SRC). However, the broader spectrum of renal manifestations, beyond SRC, remains underrecognized. In our case-control analysis, we describe other causes, risk factors, and renal outcomes of acute kidney injury (AKI) in systemic sclerosis other than SRC. Patients diagnosed with SSC, with and without AKI, between 2017 and 2023 at Albany Medical Center, were included in the case-control study using International Classification of Diseases, 10th Revision codes and electronic medical records. Patients with SRC were carefully excluded. Data were collected and compared between AKI and non-AKI groups for patients' demographics, clinical characteristics, and baseline treatment. Additionally, data were collected for baseline, peak, and follow-up creatinine, etiology of AKI, treatment, and outcomes. Statistical analysis was performed using R (version 4.3.0) and Minitab (V19). Categorical variables were presented as frequencies/percentages, and continuous variables as means/standard deviations. Associations between categorical variables were assessed by χ2 test and Fisher exact test. Odds ratios and 95% confidence intervals were calculated using binary logistic regression to separately assess the effect of each independent variable on the odds of AKI. Statistical significance was set at p < 0.05. A total of 74 cases were identified. Out of these 74 cases, 27 had AKI and 47 did not have AKI. Out of the 27 AKI cases, 4 with SRC were excluded. Advanced age, chronic kidney disease, and heart failure were identified as risk factors for AKI development. The predominant cause of AKI was prerenal etiology, accounting for 47.8% (n = 11) of cases. This was followed by cardiorenal syndrome and acute tubular necrosis, accounting for 21.7% and 17.3% of the cases, respectively. Most of the cases with AKI had complete renal recovery 78% (n = 18), whereas 17% (n = 4) had progression of the underlying chronic kidney disease. One patient progressed to end-stage renal disease requiring hemodialysis. This analysis highlights the risk factors and variable clinicopathological courses of renal involvement in patients with scleroderma. This may range from mild AKI with good prognosis to life-threatening SRC.

Sex differences in patterns of potentially inappropriate prescribing and adverse drug reactions in hospitalized older people: Findings from the SENATOR trial.

Older women experience more adverse drug reactions (ADRs) than older men. However, the underlying basis for this sex difference is unclear. Sex (biological status) and/or gender (sociocultural constructs) influences on patterns of inappropriate prescribing in multimorbid older adults may be one reason for this ADR sex difference. In this secondary analysis, we examined whether incident ADR sex differences could be related to concurrent sex differences in potentially inappropriate prescribing. A retrospective secondary analysis of sex differences in the prevalence of potentially inappropriate medications (PIMs), potential prescribing omissions (PPOs), and ADRs among the 1537 participants (47.2% female, median [IQR] age 78 [72-84] years) was undertaken in the SENATOR clinical trial database, conducted in six large European medical centers. We looked specifically for male/female differences relating to PIMs and PPOs (defined by STOPP/START version 2 criteria) identified within 48 h of acute hospitalization. We also assessed sex differences for ADRs identified at 14 days from admission or discharge, whichever came first. ADRs were assessed by blinded endpoint adjudication panel consensus. During hospitalization, significantly more females experienced ≥1 ADR compared to males (28% and 21%, respectively; odds ratio 1.40, 95% CI 1.10-1.78, p < 0.005). Nine of the 11 STOPP-criteria PIMs showing a significant sex difference occurred more often in females. Of the four START-criteria PPOs showing a significant sex difference, all occurred more often in females. Some sex-associated PIMs reflect higher prevalence of related conditions in older women. We conclude that specific STOPP-criteria PIMs and START-criteria PPOs were identified more frequently in older women than older men during acute hospitalization, possibly contributing to higher ADR incidence in older women. Prescribers should appreciate sex differences in exposure to potentially inappropriate prescribing and ADR risk, given the preponderance of older women over older men in most clinical settings.

Summary and Roadmap of Breast Cancer Research in the Veterans Affairs.

Women are the largest growing population of Veterans within the U.S. Department of Veterans Affairs (VA) Health Care System. Among women Veterans, breast cancer is the most common malignancy (30% of all cancers), yet little is known about the unique needs of women Veterans with cancer and how to provide them with high quality care. The VA health care system has initiated multiple system-wide systemic efforts, including launching the Breast and Gynecologic Cancer System of Excellence (BGSOE) to address this knowledge gap. This report summarizes the outcomes of the inaugural 2023 VA Women's Cancer Research Conference, which assembled 37 multidisciplinary clinicians, scientists, the VA and civilian partners with a shared goal of advancing VA breast cancer research. Conference objectives were to build a collective vision for improving: (1) referral patterns for breast cancer treatment and patient-level outcomes and (2) molecular and genetic testing patterns across the breast cancer continuum among women Veterans. The meeting hosted 15 speakers at the Houston VA Medical Center. Future research priorities for women Veterans with cancer were identified from discussions and a post-conference survey. We then administered a 13-question post-conference survey to conference attendees. Respondents ranked the research priorities. The survey results show that the cross-cutting cancer research priorities designed to transform cancer care for women Veterans at the VA fit into 5 broad areas of study, including (1) care quality for treatment, (2) improving treatment, (3) care quality of molecular and genetic testing, (4) risk reduction through risk assessment and germline genetic testing, and (5) establishing strategic partnerships. Our data elucidate areas for further investigation to improve the delivery of cancer care.

Impact of DAA Treatment for HCV on Hepatocellular Carcinoma in a Predominately African American Population.

This study tested the hypothesis that our predominately AA medical center population would demonstrate a decline in HCV-driven HCC diagnosis following the initiation of DAA treatment in 2014. Also evaluated was whether achieving an SVR prior to diagnosis of HCC improved outcomes in patients who had an HCV diagnosis after completion of treatment. All patients with HCC seen at the Detroit Medical Center from 2009 to 2021 were identified using ICD-10 codes, and medical records were evaluated. Outcomes were evaluated as either alive or death/hospice as of December of 2022. There were 461 patients with HCC of whom 433 (94%) had racial information in the database (AA = 351; non-AA = 82). HCC incidence regardless of race peaked in 2017, with a subsequent decline through 2021. HCV as a risk factor was higher in AA as compared to non-AA (85% vs. 53% p = 0.0001). Outcome (alive vs. death/hospice) was better for SVR patients compared to untreated patients (54% vs. 19%; p = 0.0009). HCC patients who achieved SVR also had better liver function at diagnosis as defined by Child-Pugh score (74% vs. 49% Class A p = 0.04) at the time of diagnosis. Racial disparity in HCC etiology was confirmed with AA more likely to have HCV than non-AA. The reduction in HCC patients with HCV confirms the impact of DAA treatment and prior successful treatment of HCV yields better outcomes. Increasing HCV treatment rates especially in AA patients will have a major impact on HCC development and treatment outcomes. • African Americans are more likely to have HCV infection as compared to non-AA. • Hepatocellular carcinoma is increasing in incidence in the US. • The role of HCV in the development of HCC remains to be further investigated. • HCC diagnosis in a single urban medical center study increased from 2009 as a result of HCV as a risk factor. • HCC declined post 2018 due primarily to a reduction in HCV infection as the risk factor. • African Americans were more likely to have HCV as the risk factor as compared to non-AA patients who were more likely to have no known risk factor on record (i.e., cryptogenic).

Patient Participation in Multidisciplinary High-Risk Surgery Discussions: A Pilot Study.

Objective: Our medical center implemented a multidisciplinary team to improve surgical decision making for high-risk older adults. To make this a patient-centric process, a pilot program included the patient and their family/caregiver(s) in these conversations. Our hypothesis is that multidisciplinary team discussions can improve difficult surgical decision making. Methods: From January to June 2022, we offered patients and their family participation in multidisciplinary discussions at a Veterans Affairs medical center. Semistructured interviews were conducted 1-6 days after the meeting. Interview transcripts were analyzed with qualitative mixed-methods approach. Results: Six patients and caregivers participated in the interviews. They found the discussion helpful for improving their understanding of the surgical decision. Out of these, 50% (3 of 6) of the patients changed their decision regarding the planned operation based on the discussion. Conclusion: Including patients and caregiver(s) in multidisciplinary surgical decision-making discussions resulted in half of the patients changing their surgical plans. This pilot study demonstrated both acceptance and feasibility for all participants.

Modernizing Surgical Quality: A Novel Approach to Improving Detection of Surgical Site Infections in the Veteran Population.

Introduction: Surgical site infections (SSIs) are an important quality measure. Identifying SSIs often relies upon a time-intensive manual review of a sample of common surgical cases. In this study, we sought to develop a predictive model for SSI identification using antibiotic pharmacy data extracted from the electronic medical record (EMR). Methods: A retrospective analysis was performed on all surgeries at a Veteran Affair's Medical Center between January 9, 2020 and January 9, 2022. Patients receiving outpatient antibiotics within 30 days of their surgery were identified, and chart review was performed to detect instances of SSI as defined by VA Surgery Quality Improvement Program criteria. Binomial logistic regression was used to select variables to include in the model, which was trained using k-fold cross validation. Results: Of the 8,253 surgeries performed during the study period, patients in 793 (9.6%) cases were prescribed outpatient antibiotics within 30 days of their procedure; SSI was diagnosed in 128 (1.6%) patients. Logistic regression identified time from surgery to antibiotic prescription, ordering location of the prescription, length of prescription, type of antibiotic, and operating service as important variables to include in the model. On testing, the final model demonstrated good predictive value with c-statistic of 0.81 (confidence interval: 0.71-0.90). Hosmer-Lemeshow testing demonstrated good fit of the model with p value of 0.97. Conclusion: We propose a model that uses readily attainable data from the EMR to identify SSI occurrences. In conjunction with local case-by-case reporting, this tool can improve the accuracy and efficiency of SSI identification.

Safety of Endoscopy in Cirrhosis.

Endoscopic procedures are among the most commonly performed medical procedures and the serious adverse event rate is reported to be 1-3 adverse events per 1000 procedures. Here, we have examined the safety of endoscopy specifically in cirrhotic populations. We conducted a retrospective case (cirrhosis)-control (non-cirrhosis) study of the outcomes of patients undergoing endoscopy in a large academic medical center. The primary outcome was a procedural or post-procedural complication. Complete clinical data were collected for all patients undergoing endoscopic procedures-including esophagogastroduodenoscopy, colonoscopy, EUS, ERCP, flexible sigmoidoscopy, and others. Cirrhosis was carefully defined based on clinico-pathological grounds. We identified 16,779 patients who underwent endoscopy, including 2618 with cirrhosis and 14,161 without cirrhosis. There were 167 complications (0.99%), which included 15/2618 cirrhotics (0.6%) and 152/14,161 (1.1%) non-cirrhotics. The most common complications were cardiopulmonary (including hypotension and hypoxemia) found in 67% of patients; procedurally related complications occurred in 19% of patients. The complication rate was the same or lower in cirrhotics than controls undergoing esophagogastroduodenoscopy (0.6% vs 0.9%, p = 0.03), colonoscopy (0.6% vs. 0.6%, p = NS), or ERCP (0.7% vs. 1.4%, p = NS) Logistic regression analysis identified the following features to be associated with an increased risk of having a complication: inpatient status, history of myocardial infarction, and an EUS procedure. Endoscopy in cirrhotic patients was as safe or safer than non-cirrhotic patients undergoing similar procedures.

Using social risks to predict unplanned hospital readmission and emergency care among hospitalized Veterans.

(1) To estimate the association of social risk factors with unplanned readmission and emergency care after a hospital stay. (2) To create a social risk scoring index. We analyzed administrative data from the Department of Veterans Affairs (VA) Corporate Data Warehouse. Settings were VA medical centers that participated in a national social work staffing program. We grouped socially relevant diagnoses, screenings, assessments, and procedure codes into nine social risk domains. We used logistic regression to examine the extent to which domains predicted unplanned hospital readmission and emergency department (ED) use in 30 days after hospital discharge. Covariates were age, sex, and medical readmission risk score. We used model estimates to create a percentile score signaling Veterans' health-related social risk. We included 156,690 Veterans' admissions to a VA hospital with discharged to home from 1 October, 2016 to 30 September, 2022. The 30-day rate of unplanned readmission was 0.074 and of ED use was 0.240. After adjustment, the social risks with greatest probability of readmission were food insecurity (adjusted probability = 0.091 [95% confidence interval: 0.082, 0.101]), legal need (0.090 [0.079, 0.102]), and neighborhood deprivation (0.081 [0.081, 0.108]); versus no social risk (0.052). The greatest adjusted probabilities of ED use were among those who had experienced food insecurity (adjusted probability 0.28 [0.26, 0.30]), legal problems (0.28 [0.26, 0.30]), and violence (0.27 [0.25, 0.29]), versus no social risk (0.21). Veterans with social risk scores in the 95th percentile had greater rates of unplanned care than those with 95th percentile Care Assessment Needs score, a clinical prediction tool used in the VA. Veterans with social risks may need specialized interventions and targeted resources after a hospital stay. We propose a scoring method to rate social risk for use in clinical practice and future research.

Maternal diseases and congenital anomalies of the kidney and urinary tract in offspring: a cohort study.

Congenital anomalies of the kidneys and urinary tract (CAKUT) are the most common cause of prenatally diagnosed developmental malformation. This study aimed to assess the relationship between maternal diseases and CAKUT in offspring. This retrospective study enrolled all pregnant women registered from January 2020 to December 2022 at one medical center. Medical information on maternal noncommunicable diseases, including obesity, hypertension, diabetes mellitus, kidney disease, hyperthyroidism, hypothyroidism, psychiatric disease, epilepsy, cancer, and autoimmune disease was collected. Based on the records of ultrasound scanning during the third trimester, the diagnosis was classified as isolated urinary tract dilation (UTD) or kidney anomalies. Multivariate logistic regression was performed to establish models to predict antenatal CAKUT. Among the 19,656 pregnant women, perinatal ultrasound detected suspicious CAKUT in 114 (5.8/1000) fetuses, comprising 89 cases with isolated UTD and 25 cases with kidney anomalies. The risk of antenatal CAKUT was increased in the fetuses of mothers who experienced gestational diabetes, thyroid dysfunction, neuropsychiatric disease, anemia, ovarian and uterine disorders. A prediction model for isolated UTD was developed utilizing four confounding factors, namely gestational diabetes, gestational hypertension, maternal thyroid dysfunction, and hepatic disease. Similarly, a separate prediction model for kidney anomalies was established based on four distinct confounding factors, namely maternal thyroid dysfunction, gestational diabetes, disorders of ovarian/uterine, and kidney disease. Isolated UTD and kidney anomalies were associated with different maternal diseases. The results may inform the clinical management of pregnancy and highlight potential differences in the genesis of various subtypes of CAKUT.

Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data

BackgroundMultidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensive Care Units (ICU), characterized by the extensive use of antimicrobial agents and a high prevalence of bacterial resistance, are hotspots for MDRO proliferation. Timely identification of patients at high risk for MDRO can aid in curbing transmission, enhancing patient outcomes, and maintaining the cleanliness of the ICU environment. This study focused on developing a machine learning (ML) model to identify patients at risk of MDRO during the initial phase of their ICU stay.MethodsUtilizing patient data from the First Medical Center of the People’s Liberation Army General Hospital (PLAGH-ICU) and the Medical Information Mart for Intensive Care (MIMIC-IV), the study analyzed variables within 24 h of ICU admission. Machine learning algorithms were applied to these datasets, emphasizing the early detection of MDRO colonization or infection. Model efficacy was evaluated by the area under the receiver operating characteristics curve (AUROC), alongside internal and external validation sets.ResultsThe study evaluated 3,536 patients in PLAGH-ICU and 34,923 in MIMIC-IV, revealing MDRO prevalence of 11.96% and 8.81%, respectively. Significant differences in ICU and hospital stays, along with mortality rates, were observed between MDRO positive and negative patients. In the temporal validation, the PLAGH-ICU model achieved an AUROC of 0.786 [0.748, 0.825], while the MIMIC-IV model reached 0.744 [0.723, 0.766]. External validation demonstrated reduced model performance across different datasets. Key predictors included biochemical markers and the duration of pre-ICU hospital stay.ConclusionsThe ML models developed in this study demonstrated their capability in early identification of MDRO risks in ICU patients. Continuous refinement and validation in varied clinical contexts remain essential for future applications.

Oral antidiabetic therapy versus early insulinization on glycemic control in newly diagnosed type 2 diabetes patients: a retrospective matched cohort study

Our study aims to compare the efficacy of oral antidiabetic therapy to early insulinization on glycemic control among newly diagnosed type 2 diabetes patients in real-world clinical practice. A retrospective cohort study conducted at a medical center in Taiwan analyzed 1256 eligible patients from January 2007 to December 2017. Propensity score matching resulted in well-balanced groups of 94 patients each in the oral antidiabetic drug (OAD) and early insulinization cohorts. Glycemic outcomes were assessed in both groups. Patients exclusively using OAD showed consistently lower glycated hemoglobin (HbA1c) levels at 3, 12, 24, and 36 months compared to insulin users. At later periods, 77.7% of OAD users achieved glycemic control versus 64.9% of insulin users, with a marginally significant difference. Subgroup analyses suggested a trend favoring well-controlled diabetes in the OAD group, though not statistically significant. Our study finds oral antidiabetic therapy is not inferior to early insulinization for glycemic control in newly diagnosed type 2 diabetes patients, irrespective of initial HbA1c levels. This supports oral therapy as a rational treatment option, even in cases with elevated HbA1c at diagnosis.

Establishment of Cephalic Index by Computed Tomography in Sampled Chinese Children.

Cephalic Index (CI), the ratio of head width to length, is one of the indexes reflecting cranial morphological characteristics. Current norms were established by European and American countries. The purpose of the study was to study anthropometry of cranial parameters using computed tomography scans to establish the CI of the sampled Chinese Children. The cross-sectional study was carried out on patients of age younger than 14 years old at Shanghai Children's Medical Center. The measurement of maximum cranial breadth and maximum cranial length were taken on a computed tomography scan machine and recorded for analysis. Cephalic Index was calculated for each age and sex group and compared with previously established norms. Five hundred eighteen patients met the inclusion criteria, including 301 males and 217 females. The means for boys and girls were 87.1 (SD: 4.3) and 85.8 (SD: 4.3), respectively. There was a significant difference between boys and girls (P < 0.01). Cephalic Index in different ages and on applying the 1-way analysis of variance association was statistically insignificant (P = 0.19). Chinese head shape was brachycephalic. A statistically significant correlation was seen between the CI and sex, while not age.

Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study.

To circumvent regulatory barriers that limit medical data exchange due to personal information security concerns, we use homomorphic encryption (HE) technology, enabling computation on encrypted data and enhancing privacy. This study explores whether using HE to integrate encrypted multi-institutional data enhances predictive power in research, focusing on the integration feasibility across institutions and determining the optimal size of hospital data sets for improved prediction models. We used data from 341,007 individuals aged 18 years and older who underwent noncardiac surgeries across 3 medical institutions. The study focused on predicting in-hospital mortality within 30 days postoperatively, using secure logistic regression based on HE as the prediction model. We compared the predictive performance of this model using plaintext data from a single institution against a model using encrypted data from multiple institutions. The predictive model using encrypted data from all 3 institutions exhibited the best performance based on area under the receiver operating characteristic curve (0.941); the model combining Asan Medical Center (AMC) and Seoul National University Hospital (SNUH) data exhibited the best predictive performance based on area under the precision-recall curve (0.132). Both Ewha Womans University Medical Center and SNUH demonstrated improvement in predictive power for their own institutions upon their respective data's addition to the AMC data. Prediction models using multi-institutional data sets processed with HE outperformed those using single-institution data sets, especially when our model adaptation approach was applied, which was further validated on a smaller host hospital with a limited data set.

Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study.

To circumvent regulatory barriers that limit medical data exchange due to personal information security concerns, we use homomorphic encryption (HE) technology, enabling computation on encrypted data and enhancing privacy. This study explores whether using HE to integrate encrypted multi-institutional data enhances predictive power in research, focusing on the integration feasibility across institutions and determining the optimal size of hospital data sets for improved prediction models. We used data from 341,007 individuals aged 18 years and older who underwent noncardiac surgeries across 3 medical institutions. The study focused on predicting in-hospital mortality within 30 days postoperatively, using secure logistic regression based on HE as the prediction model. We compared the predictive performance of this model using plaintext data from a single institution against a model using encrypted data from multiple institutions. The predictive model using encrypted data from all 3 institutions exhibited the best performance based on area under the receiver operating characteristic curve (0.941); the model combining Asan Medical Center (AMC) and Seoul National University Hospital (SNUH) data exhibited the best predictive performance based on area under the precision-recall curve (0.132). Both Ewha Womans University Medical Center and SNUH demonstrated improvement in predictive power for their own institutions upon their respective data's addition to the AMC data. Prediction models using multi-institutional data sets processed with HE outperformed those using single-institution data sets, especially when our model adaptation approach was applied, which was further validated on a smaller host hospital with a limited data set.

Enhancing team communication to improve implementation of a supervised walking program for hospitalized veterans: Evidence from a multi-site trial in the Veterans Health Administration.

The timely translation of evidence-based programs into real-world clinical settings is a persistent challenge due to complexities related to organizational context and team function, particularly in inpatient settings. Strategies are needed to promote quality improvement efforts and implementation of new clinical programs. This study examines the role of CONNECT, a complexity science-based implementation intervention to promote team readiness, for enhancing implementation of the 'Assisted Early Mobility for Hospitalized Older Veterans' program (STRIDE), an inpatient, supervised walking program. We conducted a stepped-wedge cluster randomized trial using a convergent mixed-methods design. Within each randomly assigned stepped-wedge sequence, Veterans Affairs Medical Centers (VAMCs) were randomized to receive standardized implementation support only or additional training via the CONNECT intervention. Data for the study were obtained from hospital administrative and electronic health records, surveys, and semi-structured interviews with clinicians before and after implementation of STRIDE. Eight U.S. VAMCs. Three hundred fifty-three survey participants before STRIDE implementation and 294 surveys after STRIDE implementation. Ninety-two interview participants. CONNECT, a complexity-science-based intervention to improve team function. The implementation outcomes included STRIDE reach and fidelity. Secondary outcomes included validated measures of team function (i.e., team communication, coordination, role clarity). At four VAMCs randomized to CONNECT, reach was higher (mean 12.4% vs. 3.8%), and fidelity was similar to four non-CONNECT VAMCs. VAMC STRIDE delivery teams receiving CONNECT reported improvements in team function domains, similar to non-CONNECT VAMCs. Qualitative findings highlight CONNECT's impact and the influence of team characteristics and contextual factors, including team cohesion, leadership support, and role clarity, on reach and fidelity. CONNECT may promote greater reach of STRIDE, but improvement in team function among CONNECT VAMCs was similar to improvement among non-CONNECT VAMCs. Qualitative findings suggest that CONNECT may improve team function and implementation outcomes but may not be sufficient to overcome structural barriers related to implementation capacity.

Aveir VR, retrievable leadless pacing in the young.

Successful implantations of the Aveir VR, have been effectively demonstrated in adults; however, there remain limited reports supporting safe and feasible implantation of the Aveir VR in the young population. Retrospective, observational study of Aveir VR implantation of young patients (≦21 years old) at UC Davis Medical Center from November 2022 to January 2024 via the internal jugular or femoral vein implantation approaches. Indications for pacing, patient demographics, pacing thresholds and longevity were reported at the time of implantation and last follow-up. A total of 10 patients received the Aveir VR with a median age of years (IQR 12.5-17) and median weight of 50.8kg (IQR 44.6-60.9) kg. The majority were male (80%). Aveir VR leadless pacemaker occurred via internal jugular venous (90%) or femoral venous (10%) approaches. Indications for placement were intermittent complete heart block (60%) and sinus pauses (40%). Adequate impedance, sensing and thresholds were maintained from implantation to a median follow-up of 9 months. Predicted pacemaker longevity at follow-up median was 23.8 years. There were no complications in any of the 10 patients. Aveir VR implantation via the internal jugular and femoral veins is feasible in the young patient population with stable pacing parameters at follow-up.

Methane Gas in Breath Test is Associated with Non-Alcoholic Fatty Liver Disease.

Although the association between Body Mass Index (BMI) level and metabolic diseases as well as the association between the breath test results and BMI level have been studied, their relationship between breath hydrogen/methane level and metabolic diseases need to be further clarified. This study aimed to investigate how the composition of exhaled breath gases relates to metabolic disorders and their key risk factors. An elevated BMI level significantly increases the risk of developing metabolic disease; it was included in this study to find their association. Diabetes mellitus, dyslipidemia, hypertension, and non-alcoholic fatty liver disease (NAFLD) are metabolic diseases included in this study.&#xD;An analysis was performed on the medical records including the lactulose breath test (LBT) data of patients who visited the Ajou University Medical Center, Suwon, Republic of Korea, between January 2016 and December 2021. Subjects were grouped according to four different criteria of the LBT hydrogen and methane level: 1) Normal (N) (Hydrogen < 20 ppm and Methane < 3 ppm); 2) Hydrogen only (H+) (Hydrogen ≥ 20 ppm and Methane < 3 ppm); 3) Methane positive (M+) (Hydrogen < 20 ppm and Methane ≥ 3 ppm); and 4) Methane and hydrogen positive (M+/H+) (Hydrogen ≥ 20 ppm and Methane ≥ 3 ppm). Of 441 subjects, 325 (72.1%) had positive results for methane only (M+). BMI and prevalence of NAFLD were higher in subjects with M+ than in subjects with hydrogen and methane positivity (H+/M+). According to multivariate analysis, the odds ratio (OR) of M+ was 2.002 (with 95% CI: 1.244-3.221, P = 0.004) for NAFLD. Our results demonstrate that breath methane positivity is related to NAFLD and suggest that increased methane gas in breath tests has the potential to be an easily measurable biomarker for the diagnosis of NAFLD. &#xD.

Temporal Trends in Urinary Diversion among Patients Undergoing Radical Cystectomy Between 1986 and 2022: Experience at the University Medical Center Mainz with 2224 Cases.

Analysis of temporal trends of urinary diversion (UD) and identification of predictive factors for continent urinary diversion (CUD) in patients with bladder cancer (BC) is scarce and data on large cohorts are missing. We aimed to describe longitudinal temporal trends and predictive factors for UD among patients with BC receiving radical cystectomy (RC). We retrospectively analysed institutional data collected from patients undergoing RC from 1986 to 2022 to describe changes in patients' characteristics and UD. Primary end points were patients' characteristics associated with type of UD. Logistic regression analysis was used to determine predictive factors for CUD. In total, 2224 patients (77.16% male, 22.84% female) with a mean age of 66 years [standard deviation (SD), 10.64 years] were included. We observed an increase in mean age from 59.86 (10.8) years (1986-1990) to 69.85 (9.99) years (2016-2022) (p < 0.001). The proportion of CUD gradually declined from 43.72% (94/215; 1986-1990) to 18.38% (86/468; 2016-2022). Patients who were male [odds ratio (OR): 1.92, 95% confidence interval (CI): 1.43-2.57, p < 0.001), younger (OR: 0.88, 95% CI: 0.87-0.89, p < 0.001) and had no hydronephrosis prior to RC (OR: 2.2, 95% CI: 1.66-2.92, p < 0.001) were more likely to receive CUD. We report the largest European single-center cohort of UD after RC, demonstrating a significant shift from CUD to IUD, accompanied by an increasing age. Finally, our data mirrors the development and extensive experience with the Mainz Pouch-I in the 1980's and 1990's together with other colon pouches.