Evaluation of a Childhood Obesity Program Serving a High-Need Population in Brooklyn, New York Using Survival Analysis.

In this study, we used survival analysis to evaluate whether contact hours intensity was associated with a reduction in time to improvement of various BMI metrics over a 5-year follow-up period at the Live Light Live Right pediatric obesity program in Brooklyn, New York. This was a single-center retrospective longitudinal study of 406 patients during 2010-2016. Participants were categorized based on hours of exposure to Live Light Live Right's interventions; high contact hours (≥50 h) vs. low contact hours (<50 h). At baseline, 88% of patients in the high contact hour group had severe obesity and the mean age for this group was 10.0 ± 2.66. High contact hours were independently associated with a shorter time to BMI improvement in the sample. There was also a significant association between high contact hours and a longer duration in the improved state. Survival analysis was successful in evaluating the efficacy of the Live Light Live Right Program and demonstrated a positive association between greater intervention intensity and a healthier metabolic profile. Patients' active engagement in a robust treatment model exemplified by Live Light Live Right is recommended to address the childhood obesity crisis in central Brooklyn.

Comparing the demographics and laboratory biomarkers of the COVID-19 Omicron wave and the Alpha wave in a predominantly Afro-Caribbean patient population in New York City.

BACKGROUND: There is a knowledge gap of specific characteristics linked to disease severity of the different COVID-19 waves, especially in underserved populations. We compared the demographic and clinical factors associated with SARS-CoV-2-infected patients admitted to the intensive care unit (ICU) during the Omicron and Alpha waves. METHODS: An observational study comparing two COVID-19 waves was conducted in Brooklyn, NY. Twenty-seven ICU admitted patients with a positive COVID-19 test result during the period of November 1, 2021, to January 31, 2022, ("Omicron wave") were compared to 271 COVID-19 patients who received ICU consults during the Alpha wave, the period from March 28, 2020, to April 30, 2020. RESULTS: The Omicron wave had a 55.6% mortality rate compared to a 67.2% mortality rate in the Alpha wave. For the non-survivors, there were more females (66.7%) in the Omicron wave, while the trend was reversed in the Alpha wave (38.5%). Most of the patients seen were Black (> 85%) in both waves. A bivariate comparison of the two waves found that patients in the Omicron wave had overall significantly lower ALT levels (p = 0.03) and higher monocyte % (p = 0.005) compared to the patients in the Alpha wave. In the multivariate analysis, adjusting for age and sex, increasing levels of HCO3- were significantly associated with reduced mortality in the Omicron wave (OR: 0.698; 95% CI: 0.516 - 0.945; p = 0.02). Also, multivariable analyses using both waves combined found that neutrophil % was significantly associated with increased mortality (OR: 1.05; 95% CI: 1.02 - 1.09; p = 0.006) while lymphocyte % was significantly associated with reduced mortality (OR: 0.946; 95% CI: 0.904 - 0.990; p = 0.018). CONCLUSIONS: The COVID-19-positive ICU patients in the Omicron wave experienced less severe outcomes than those of the Alpha wave. In contrast to the Alpha variant, the Omicron variant exhibited enhanced infectivity and disease severity in females.

Feasibility and acceptability of a mobile model of environmental enrichment for patients with mixed medical conditions receiving inpatient rehabilitation: a mixed methods study.

OBJECTIVES: To investigate the feasibility and acceptability of a mobile model of environmental enrichment (EE), a paradigm that promotes activity engagement after stroke, in patients with mixed medical conditions receiving inpatient rehabilitation. DESIGN: A mixed methods study design was used. An online qualitative survey assessed staff perspectives of acceptability of the mobile EE model including perceived barriers and enablers pre-implementation and post implementation. An A-B quasi-experimental case study of patient activity levels over a 2-week observational period provided feasibility data. This included recruitment and retention rates, completion of scheduled patient activity observations and validated baseline questionnaires, and number of adverse events. SETTING: A 30-bed mixed medical ward in a public hospital that services Brisbane's southern bayside suburbs. The rehabilitation programme operates with patients co-located throughout the medical/surgical wards. PARTICIPANTS: Nursing and allied health professionals working across the rehabilitation programme completed pre-implementation (n=19) and post implementation (n=16) qualitative questions. Patients admitted to the ward and who received the inpatient rehabilitation programme from June to November 2016 were also recruited. INTERVENTIONS: The mobile EE intervention included activities to primarily promote social and cognitive stimulation (eg, puzzles, board games) delivered by hospital volunteers and was designed to be moved throughout the wards. RESULTS: Four themes emerged from staff reports, suggesting that the role of patient, staff and intervention characteristics, and the ward environment were important barriers and enablers to implementation. Of the 12 eligible patients, six consented to the study, and five completed the intervention. All patients completed the baseline measures. No adverse events were reported. CONCLUSIONS: As interest grows in human EE models, it will be important to tailor EE interventions to the unique demands of hospital rehabilitation services. A mobile EE model delivered in a small, mixed rehabilitation ward appears feasible and acceptable to study in a larger controlled feasibility trial.

Procalcitonin Levels in COVID-19 Patients Are Strongly Associated with Mortality and ICU Acceptance in an Underserved, Inner City Population.

Background and Objectives: This study aimed to identify demographic and clinical factors at the time of critical care consultation associated with mortality or intensive care unit acceptance in a predominantly Afro-Caribbean population during the first wave of the COVID19 pandemic. Materials and Methods: This retrospective, single-center observational cohort study included 271 COVID19 patients who received a critical care consult between March 11 and April 30, 2020 during the first wave of the COVID19 pandemic at State University of New York Downstate Health Sciences University. Results: Of the 271 patients with critical care consults, 33% survived and 67% expired. At the bivariate level, age, blood urea nitrogen, and blood neutrophil percentage were significantly associated with mortality (mean age: survivors, 61.62 ± 1.50 vs. non-survivors, 68.98 ± 0.85, p < 0.001). There was also a significant association between neutrophil% and mortality in the univariate logistic regression model (quartile 4 vs. quartile 1: odd ratio 2.73, 95% confidence interval (1.28-5.82), p trend = 0.044). In the multivariate analyses, increasing levels of procalcitonin and C-reactive protein were significantly associated with mortality, adjusting for age, sex, and race/ethnicity (for procalcitonin quartile 4 vs. quartile 1: odds ratio 5.65, 95% confidence interval (2.14-14.9), p trend < 0.001). In contrast, higher platelet levels correlated with significantly decreased odds of mortality (quartile 4 vs. quartile 1, odds ratio 0.47, 95% CI (0.22-0.998), p trend = 0.010). Of these factors, only elevated procalcitonin levels were associated with intensive care unit acceptance. Conclusions: Procalcitonin showed the greatest magnitude of association with both death and likelihood of intensive care unit acceptance at the bivariate level. Our data suggests that procalcitonin reflects pneumonia severity during COVID-19 infection. Thus, it may help the intensivist identify those COVID19 patients who require intensive care unit level care.