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Nevin Manimala Statistics

Understanding the Role of Empathy and Gender on EMS Clinician Occupational Stress and Mental Health Outcomes

Prehosp Emerg Care. 2024 Feb 15:1-19. doi: 10.1080/10903127.2024.2319139. Online ahead of print.

ABSTRACT

Background: Emergency Medical Service (EMS) clinicians experience high levels of occupational stress due to long hours, short staffing, and patient deaths, among other factors. While gender has been partially examined, little is known regarding the role of empathy on occupational stress and mental health (MH) outcomes among EMS clinicians. Therefore, the current study examines the moderating role of empathy and, separately, gender on associations between occupational stress and mental health.Methods: A cross-sectional examination of EMS clinician occupational and personal wellbeing was conducted via an anonymous, electronic survey. Information on clinician demographics, and validated measures of occupational stress, burnout, and MH outcomes were collected. Empathy was assessed using the Toronto Empathy Scale (TEQ). Descriptive/bivariate statistics were conducted for variables of interest. Separate multivariable regression models evaluated associations between occupational stress and mental health outcomes. Empathy and gender were examined as potential moderators using interactions.Results: A total of 568 EMS clinicians completed the survey. High levels of mental health difficulties were reported (34.0% anxiety, 29.2% depression, 48.6% burnout). Increased occupational stress was associated with increased anxiety (OR =1.08, 95% CI 1.05-1.10), depression (OR = 1.09, 95% CI 1.06-1.10), and burnout (OR = 1.10, 95% CI 1.07-1.12). No moderation analyses were significant. Greater resilience was associated with lower depression, anxiety, and burnout.Conclusion: EMS clinicians, much like other first responders, experience considerable occupational stress, of which is associated with mental health difficulties and burnout. Findings underscore the need for intervention programs aimed at reducing the impact of occupational stress and the promotion of resilience. Continuing to understand the full scope of EMS mental health, including the role of resilience, is imperative, particularly in light of future public emergencies.

PMID:38359401 | DOI:10.1080/10903127.2024.2319139

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Nevin Manimala Statistics

Machine Learning to Allocate Palliative Care Consultations During Cancer Treatment

J Clin Oncol. 2024 Feb 15:JCO2301291. doi: 10.1200/JCO.23.01291. Online ahead of print.

ABSTRACT

PURPOSE: For patients with advanced cancer, early consultations with palliative care (PC) specialists reduce costs, improve quality of life, and prolong survival. However, capacity limitations prevent all patients from receiving PC shortly after diagnosis. We evaluated whether a prognostic machine learning system could promote early PC, given existing capacity.

METHODS: Using population-level administrative data in Ontario, Canada, we assembled a cohort of patients with incurable cancer who received palliative-intent systemic therapy between July 1, 2014, and December 30, 2019. We developed a machine learning system that predicted death within 1 year of each treatment using demographics, cancer characteristics, treatments, symptoms, laboratory values, and history of acute care admissions. We trained the system in patients who started treatment before July 1, 2017, and evaluated the potential impact of the system on PC in subsequent patients.

RESULTS: Among 560,210 treatments received by 54,628 patients, death occurred within 1 year of 45.2% of treatments. The machine learning system recommended the same number of PC consultations observed with usual care at the 60.0% 1-year risk of death, with a first-alarm positive predictive value of 69.7% and an outcome-level sensitivity of 74.9%. Compared with usual care, system-guided care could increase early PC by 8.5% overall (95% CI, 7.5 to 9.5; P < .001) and by 15.3% (95% CI, 13.9 to 16.6; P < .001) among patients who live 6 months beyond their first treatment, without requiring more PC consultations in total or substantially increasing PC among patients with a prognosis exceeding 2 years.

CONCLUSION: Prognostic machine learning systems could increase early PC despite existing resource constraints. These results demonstrate an urgent need to deploy and evaluate prognostic systems in real-time clinical practice to increase access to early PC.

PMID:38359380 | DOI:10.1200/JCO.23.01291

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Nevin Manimala Statistics

Real-World Cervical Cancer Screening Uptake and Predictors of Visual Inspection With Acetic Acid Positivity Among Women Living With HIV in Care Programs in Western Kenya

JCO Glob Oncol. 2024 Feb;10:e2300311. doi: 10.1200/GO.23.00311.

ABSTRACT

PURPOSE: To achieve the WHO cervical cancer elimination targets, countries globally must achieve 70% cervical cancer screening (CCS) coverage. We evaluated CCS uptake and predictors of screening positive at two public HIV care programs in western Kenya.

METHODS: From October 2007 to February 2019, data from the Family AIDS Care and Education Services (FACES) and Academic Model Providing Access to Healthcare (AMPATH) programs in western Kenya were analyzed. The study population included women age 18-65 years enrolled in HIV care. Screening uptake was calculated annually and overall, determining the proportion of eligible women screened. Multivariate logistic regression assessed predictors of positive screening outcomes.

RESULTS: There were 57,298 women living with HIV (WLWHIV) eligible for CCS across both programs during the study period. The mean age was 31.4 years (IQR, 25.9-37.8), and 39% were on antiretroviral therapy (ART) at the first CCS-eligible visit. Of all eligible women, 29.4% (95% CI, 29.1 to 29.8) underwent CCS during the study period, 27.0% (95% CI, 26.5 to 27.4) in the AMPATH program, and 35.6% (95% CI, 34.9 to 36.4) in the FACES program. Annual screening uptake varied greatly in both programs, with coverage as low as 1% of eligible WLWHIV during specific years. Age at first screening, CD4 count within 90 days of screening, current use of ART, and program (AMPATH v FACES) were each statistically significant predictors of positive screening.

CONCLUSION: CCS uptake at two large HIV care programs in Kenya fell short of the WHO’s 70% screening target. Screening rates varied significantly on the basis of the availability of funding specific to CCS, reflecting the limitations of vertical funding programs.

PMID:38359369 | DOI:10.1200/GO.23.00311

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Nevin Manimala Statistics

Evaluation of Continuous Infusion Vancomycin in a Pediatric Hematology/Oncology Population

Pediatr Infect Dis J. 2024 Feb 12. doi: 10.1097/INF.0000000000004278. Online ahead of print.

ABSTRACT

BACKGROUND: Continuous infusion vancomycin (CIV) may benefit children who are unable to achieve therapeutic concentrations with intermittent vancomycin dosing and may facilitate outpatient administration by alleviating the burden of frequent dosing intervals. Previous studies have used variable dosing regimens and steady-state concentration goals. The purpose of this study was to evaluate the total daily dose (TDD) of CIV required to achieve therapeutic steady-state concentrations of 15-25 µg/mL in pediatric hematology/oncology patients.

METHODS: A single-center retrospective study was performed for patients treated with CIV from January 2017 to June 2019. The primary outcome was the TDD required to achieve therapeutic steady-state concentrations on CIV. Secondary outcomes included time to reach therapeutic steady-state concentrations, CIV indications and adverse events associated with CIV.

RESULTS: Data were collected for 71 courses of CIV in 60 patients. Median patient age was 4 years (range: 0.4-20 years). The median TDD required to achieve initial therapeutic concentrations was 50.3 mg/kg/d (interquartile range: 38.8-59.2) and was further divided into age-based cohorts. TDD in mg/kg was significantly lower in the older cohort (P < 0.001), but there was no statistically significant difference between age-based cohorts with TDD in mg/m2 (P = 0.97). Median time to achieve first therapeutic concentration was 19.3 hours (range: 8.6-72.3 hours). The most common indication for CIV was ease of outpatient administration (69.0%). Acute kidney injury incidence was minimal (4.2%).

CONCLUSIONS: CIV is associated with rapid attainment of target concentrations in pediatric hematology/oncology patients and is safe and well tolerated.

PMID:38359358 | DOI:10.1097/INF.0000000000004278

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Nevin Manimala Statistics

Outcomes of Endoscopic Sleeve Gastroplasty Following Laparoscopic Adjustable Gastric Band: A Propensity Score-matched Analysis

Surg Laparosc Endosc Percutan Tech. 2024 Feb 13. doi: 10.1097/SLE.0000000000001265. Online ahead of print.

ABSTRACT

BACKGROUND: The performance of endoscopic sleeve gastroplasty (ESG) in patients with prior laparoscopic adjustable gastric band (LAGB) has not been characterized.

MATERIALS AND METHODS: This is a retrospective propensity score-matched study of ESG after LAGB at 2 centers with expertise in bariatric endoscopy. The primary outcome was total weight loss (TWL) at 12 months. Secondary outcomes included TWL at 3 and 6 months, 12-month excess weight loss (EWL), procedural characteristics, predictors of TWL, and serious adverse events.

RESULTS: Twenty-six adults (88.5% female, age 50.8 y, BMI 36.5 kg/m2) with prior LAGB (median duration 8 y) underwent ESG at a median of 3 years after LAGB removal. A 2:1 age-matched, sex-matched, and BMI-matched comparator group was created, comprising ESG patients from the same organization and time frame but without prior LAGB. TWL for the LAGB-to-ESG cohort versus the ESG-only cohort was 10.1±5.5% versus 13.0±4.4% at 3 months (P=0.0256), 12.4±7.2% versus 16.0±5.4% at 6 months (P=0.0375), and 12.7±8.2% versus 18.4±6.5% at 12 months (P=0.0149). At 12 months, the LAGB-to-ESG cohort had an EWL of 52.5±50.0%, and 75% achieved TWL ≥10%. There was no association between TWL at 3, 6, or 12 months and the following traits: age or BMI at the time of ESG, patient sex, and time from LAGB removal to ESG. No serious adverse events occurred in either cohort.

CONCLUSION: ESG after LAGB facilitates safe and clinically meaningful weight loss but is attenuated compared to primary ESG.

PMID:38359348 | DOI:10.1097/SLE.0000000000001265

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Nevin Manimala Statistics

Risk association of the nitric oxide synthase VNTR intron 4 a/b variant with diabetic nephropathy – a pilot study

Nucleosides Nucleotides Nucleic Acids. 2024 Feb 15:1-10. doi: 10.1080/15257770.2024.2317411. Online ahead of print.

ABSTRACT

Diabetic nephropathy (DN) is known to be a leading complication of type 2 diabetes mellitus (T2D). This study evaluated whether the VNTR intron 4 a/b and rs1799983 polymorphisms of endothelial-derived nitric oxide synthase (eNOS) gene modulated the risk of developing DN in Asian Indian patients. The eNOS variants were genotyped in 200 patients, 100 with DN and 100 without DN. A significant risk association was observed for the VNTR intron 4 a/b (p < 0.05). Haplotype analysis revealed that the allele combination of rs1799983894 G/Intron 4b and rs1799983894 T/Intron 4b had a statistically significant inverse association with DN.

PMID:38359337 | DOI:10.1080/15257770.2024.2317411

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Nevin Manimala Statistics

Use of probiotics and similar in pediatric patients with Type 1 Diabetes Mellitus: a systematic review

Rev Paul Pediatr. 2024 Feb 12;42:e2023097. doi: 10.1590/1984-0462/2024/42/2023097. eCollection 2024.

ABSTRACT

OBJECTIVE: To perform a systematic review of randomized controlled trials, evaluating the effect of probiotics, prebiotics or symbiotics supplementation on glycemic and inflammatory control in children with Type 1 Diabetes Mellitus (T1DM).

DATA SOURCE: The Medical Literature Analysis and Retrieval System Online (MEDLINE/PubMed), Clinical Trials, Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) and Scientific Electronic Library Online (SciELO) databases were searched. Randomized clinical trials of pediatric patients with DM1 using probiotics, prebiotics or symbiotics were included, regardless of year or language of publication. Studies that did not evaluate glycated hemoglobin (HbA1c) were excluded. Metabolic results (HbA1c, total insulin dose and C-peptide) and inflammatory control [interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α) and interferon-gamma (IFN-γ)] during probiotic supplementation or similar, related to modification of the intestinal microbiota, were analyzed. PROSPERO ID: CRD42022384485.

DATA SYNTHESIS: Five studies were selected for a systematic review. Regarding metabolic markers, only one of the articles that analyzed HbA1c showed a significant decrease (p=0.03) in the intervention group. One study identified a reduction in the total dose of insulin and increased C-peptide levels. Regarding the evaluation of inflammatory parameters (IL-10, TNF-α, INF-γ), there were no statistical relevant modifications.

CONCLUSIONS: Current data from the literature were not conclusive in identifying an improvement in glycemic control and did not observe changes in inflammatory parameters with the use of probiotics, prebiotics or symbiotics in pediatric patients with T1DM.

PMID:38359319 | DOI:10.1590/1984-0462/2024/42/2023097

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Impact of orthodontic treatment on OHRQoL of adolescents: a longitudinal study

Dental Press J Orthod. 2024 Feb 12;29(1):e2423136. doi: 10.1590/2177-6709.29.1.e2423136.oar. eCollection 2024.

ABSTRACT

OBJECTIVE: The aim of this study was to evaluate the extent to which orthodontic treatment need is perceived by the patients and by the orthodontist, as well as the possible impacts on the OHRQoL (Oral Health-Related Quality of Life) over the course of conventional orthodontic treatment in adolescent patients.

METHODS: The sample consisted of 55 adolescents. The perception of patients and orthodontists relative to the malocclusion was evaluated by the IOTN (Index of Orthodontic Treatment Need). The OHRQoL was evaluated by the Child-OIDP (Child-Oral Impacts on Daily Performances) questionnaire before the conventional orthodontic appliance was bonded (T0); and at the following time intervals: after one week (T1), one month (T2), three months (T3), six months (T4), and after the end of orthodontic treatment (T5).

RESULTS: Adolescents who had large orthodontic treatment needs had a poor OHRQoL, according to their self-perception (p=0.003) and according to the orthodontist’s perception (p<0.001), when compared with patients with small and moderate needs. There was statistically significant difference in the OHRQoL between the time intervals T0 and T1 (p=0.021), T2 and T3 (p<0.001), T3 and T4 (p=0.033), and T0 and T5 (p<0.002). At the end of treatment, all evaluated participants reported an improvement in OHRQoL.

CONCLUSIONS: It was concluded that adolescents and orthodontists agreed with regard to the perception of orthodontic treatment need. In the first week and in the first month of orthodontic treatment, there was a negative impact on the OHRQoL. After three months, an improvement of OHRQoL was detected, which has progressed over time.

PMID:38359314 | DOI:10.1590/2177-6709.29.1.e2423136.oar

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Adaptive nonequilibrium design of actin-based metamaterials: Fundamental and practical limits of control

Proc Natl Acad Sci U S A. 2024 Feb 20;121(8):e2310238121. doi: 10.1073/pnas.2310238121. Epub 2024 Feb 15.

ABSTRACT

The adaptive and surprising emergent properties of biological materials self-assembled in far-from-equilibrium environments serve as an inspiration for efforts to design nanomaterials. In particular, controlling the conditions of self-assembly can modulate material properties, but there is no systematic understanding of either how to parameterize external control or how controllable a given material can be. Here, we demonstrate that branched actin networks can be encoded with metamaterial properties by dynamically controlling the applied force under which they grow and that the protocols can be selected using multi-task reinforcement learning. These actin networks have tunable responses over a large dynamic range depending on the chosen external protocol, providing a pathway to encoding “memory” within these structures. Interestingly, we obtain a bound that relates the dissipation rate and the rate of “encoding” that gives insight into the constraints on control-both physical and information theoretical. Taken together, these results emphasize the utility and necessity of nonequilibrium control for designing self-assembled nanostructures.

PMID:38359294 | DOI:10.1073/pnas.2310238121

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Nevin Manimala Statistics

Modeling blood metabolite homeostatic levels reduces sample heterogeneity across cohorts

Proc Natl Acad Sci U S A. 2024 Feb 20;121(8):e2307430121. doi: 10.1073/pnas.2307430121. Epub 2024 Feb 15.

ABSTRACT

Blood metabolite levels are affected by numerous factors, including preanalytical factors such as collection methods and geographical sites. These perturbations have caused deleterious consequences for many metabolomics studies and represent a major challenge in the metabolomics field. It is important to understand these factors and develop models to reduce their perturbations. However, to date, the lack of suitable mathematical models for blood metabolite levels under homeostasis has hindered progress. In this study, we develop quantitative models of blood metabolite levels in healthy adults based on multisite sample cohorts that mimic the current challenge. Five cohorts of samples obtained across four geographically distinct sites were investigated, focusing on approximately 50 metabolites that were quantified using 1H NMR spectroscopy. More than one-third of the variation in these metabolite profiles is due to cross-cohort variation. A dramatic reduction in the variation of metabolite levels (90%), especially their site-to-site variation (95%), was achieved by modeling each metabolite using demographic and clinical factors and especially other metabolites, as observed in the top principal components. The results also reveal that several metabolites contribute disproportionately to such variation, which could be explained by their association with biological pathways including biosynthesis and degradation. The study demonstrates an intriguing network effect of metabolites that can be utilized to better define homeostatic metabolite levels, which may have implications for improved health monitoring. As an example of the potential utility of the approach, we show that modeling gender-related metabolic differences retains the interesting variance while reducing unwanted (site-related) variance.

PMID:38359289 | DOI:10.1073/pnas.2307430121