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Nevin Manimala Statistics

Factors related to cognitive performance among black caregivers of persons living with a chronic illness: An exploratory study

Geriatr Nurs. 2024 Jul 15;59:159-169. doi: 10.1016/j.gerinurse.2024.06.035. Online ahead of print.

ABSTRACT

This study investigated factors associated with cognitive performance among Black caregivers of persons living with two chronic conditions: dementia or cancer. Fifty-six Black caregivers of people living with dementia or cancer were recruited from clinic and community sources. Variables measured included: depression, anxiety, stress, sleep, fatigue, and caregiver burden. Cognitive performance was assessed using the Montreal Cognitive Assessment (MoCA). Descriptive statistics and non-parametric analyses were conducted to identify factors related to MoCA scores. Caregivers were 58.3 years of age and predominantly female. The average MoCA score was 25.23. Gender and education, along with positive appraisal of caregiving were significantly associated with cognitive performance. Several other factors approached significance including cohabitation with the care recipient, fatigue, and stress due to perceived individual and institutional racism. Our findings suggest several factors that warrant further investigation for understanding the relationship between caregiving and cognitive performance in Black caregivers of people living with cancer or dementia.

PMID:39013234 | DOI:10.1016/j.gerinurse.2024.06.035

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Nevin Manimala Statistics

Placental biophysical model for prediction of early onset fetal growth restriction in first and second trimester of pregnancy: A prospective cohort study

Placenta. 2024 Jul 4;154:153-159. doi: 10.1016/j.placenta.2024.07.003. Online ahead of print.

ABSTRACT

INTRODUCTION: To assess the placental biometry, placental biomarkers and uterine artery Doppler in each trimester of pregnancy for prediction of early-onset fetal growth restriction (EO FGR).

METHODS: In this prospective cohort study placental biometry; biomarkers PAPP-A, sFLT-1, and PlGF along with the uterine artery blood flow evaluation was done serially at 11-14, 20-24 and 28-32 weeks of gestation. The above parameters were compared between women with early onset FGR and controls.

RESULTS: Out of 1008 fully followed cases, the small for gestational age fetuses were 227/1008 (22.5 %), and EO FGR were 84/1008(8.3 %).The placental length, volume, and PlGF levels were significantly lower, whereas the uterine artery PI(Ut PI) was significantly higher at all time points among cases. The sFLT-1 level showed a significant increase among cases, whereas it decreased among controls from the first to the second trimester. The detection rate using PV/UtA PI was 60 % in the first trimester and 66.7 % in the second trimester at 30 % FPR.

CONCLUSION: The PV/Ut PI in first and the second trimester was a good marker for the prediction of pregnancies at increased risk of developing EO FGR.

PMID:39013215 | DOI:10.1016/j.placenta.2024.07.003

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Nevin Manimala Statistics

Association of second and fourth digit (2D:4D) ratios with metabolic syndrome and cardiovascular disease risk

Early Hum Dev. 2024 Jul 11;195:106078. doi: 10.1016/j.earlhumdev.2024.106078. Online ahead of print.

ABSTRACT

BACKGROUND: The study aimed to investigate the association of second and fourth-digit (2D:4D) ratios with metabolic syndrome (MS) and cardiovascular disease risk (CVR).

METHOD: This case-control study was conducted between February and March 2024 with 200 participants (100 patients +100 controls). Biochemical parameters (glucose, total cholesterol, HDL, LDL, triglycerides, haemogram, HbA1C) were recorded. All participants were evaluated in terms of MS diagnostic criteria. CVR was calculated with the ESC CVD Risk Calculator. Second-digit and fourth-digit measurements were performed and the 2D:4D ratio of both hands and the difference between 2D:4D of both hands (Dr-l) were obtained. The relationship between 2D:4D and MS, CVR, and gender was evaluated. p < .05 was considered statistically significant.

RESULTS: Forty-one percent of the study participants were male. The right-hand 2D:4D (R2D:4D) ratio was 1.009 ± 0.04 and the left-hand 2D:4D (L2D:4D) ratio was 0.991 ± 0.04 (p < .001). R2D:4D ratio was 1.010 ± 0.04 in women and 0.985 ± 0.03 in men (p = .019). R2D:4D (p < .001), Dr-l (p = .001), and CVR (p < .001) were significantly higher in men with MS (+) compared to MS (-).

CONCLUSION: In our study, the R2D:4D ratio was found to be associated with MS and CVR in men. Low intrauterine androgen exposure may affect the development of MS, but this effect is more prominent in males.

PMID:39013212 | DOI:10.1016/j.earlhumdev.2024.106078

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Nevin Manimala Statistics

GLIM Achieves Best Diagnostic Performance in Non-Cancer Patients with Low BMI: A Hierarchical Bayesian Latent-Class Meta-Analysis

Nutr Rev. 2024 Jul 16:nuae096. doi: 10.1093/nutrit/nuae096. Online ahead of print.

ABSTRACT

CONTEXT: Global Leadership Initiative on Malnutrition (GLIM) and Patient-Generated Subjective Global Assessment (PG-SGA) are commonly used nutrition assessment tools, whose performance does not reach a consensus due to different and imperfect reference standards.

OBJECTIVE: This study aimed to evaluate and compare the diagnostic accuracy of GLIM and PG-SGA, using a hierarchical Bayesian latent class model, in the absence of a gold standard.

DATA SOURCES: A systematic search was undertaken in PubMed, Embase, and Web of Science from inception to October 2022. Diagnostic test studies comparing (1) the GLIM and/or (2) PG-SGA with “semi-gold” standard assessment tools for malnutrition were included.

DATA EXTRACTION: Two authors independently extracted data on sensitivity, specificity, and other key characteristics. The methodological quality of each included study was appraised according to the criteria in the Quality Assessment of Diagnostic Accuracy Studies-2.

DATA ANALYSIS: A total of 45 studies, comprising 20 876 individuals evaluated for GLIM and 11 575 for PG-SGA, were included. The pooled sensitivity was 0.833 (95% CI 0.744 to 0.896) for GLIM and 0.874 (0.797 to 0.925) for PG-SGA, while the pooled specificity was 0.837 (0.780 to 0.882) for GLIM and 0.778 (0.707 to 0.836) for PG-SGA. GLIM showed slightly better performance than PG-SGA, with a higher diagnostic odds ratio (25.791 vs 24.396). The diagnostic performance of GLIM was most effective in non-cancer patients with an average body mass index (BMI) of <24 kg/m2, followed by non-cancer patients with an average age of ≥60 years. PG-SGA was most powerful in cancer patients with an average age of <60 years, followed by cancer patients with an average BMI of <24 kg/m2.

CONCLUSION: Both GLIM and PG-SGA had moderately high diagnostic capabilities. GLIM was most effective in non-cancer patients with a low BMI, while PG-SGA was more applicable in cancer patients.

SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration No. CRD42022380409.

PMID:39013202 | DOI:10.1093/nutrit/nuae096

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Nevin Manimala Statistics

Antibiotic Stewardship in Chorioamnionitis Exposed Neonates, A Quality Improvement Project

S D Med. 2024 Jul;77(7):300-303.

ABSTRACT

BACKGROUND: Rates of neonatal early onset sepsis (EOS) in term infants have recently decreased. The 2018 AAP guidelines for the management of infants at risk for early onset sepsis allows for using a multivariate risk assessment to determine need for empiric antibiotics in infants 35 weeks or greater, including those exposed to chorioamnionitis.

METHODS: A quality improvement (QI) project was undertaken to implement use of EOS calculator in chorioamnionitis exposed infants with an aim to safely decrease antibiotic exposure. Multiple Plan-Do-Study-Act (PDSA) cycles occurred to implement the change. Data regarding antibiotics, labs, length of stay and safety metrics were collected.

RESULTS: Implementing the EOS calculator’s use in chorioamnionitis exposed neonates decreased antibiotic exposure from 100% to 75%, and decreased average duration of antibiotics from 68 to 40 hours. Implementation decreased prolonged courses of antibiotics, lumbar punctures, length of stay and laboratory tests. No cases of early culture confirmed EOS were missed, and none occurred in this well appearing population.

CONCLUSIONS: Quality improvement initiatives to implement evidence-based tools can safely and appropriately decrease antibiotic exposure in neonates.

PMID:39013184

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Nevin Manimala Statistics

Theoretical Study of Structural and Electronic Trends of the Sulfonylurea Herbicides Family

J Phys Chem A. 2024 Jul 16. doi: 10.1021/acs.jpca.4c03259. Online ahead of print.

ABSTRACT

The sulfonylurea herbicide family has been extensively studied using computational techniques. The most stable conformer structures of the 34 molecules analyzed in gaseous, aqueous, and octanol phases have been determined. The study employed CREST conformational search methods along with the CENSO script to explore all possible conformational structures. Additional evaluations conducted at the B3LYP-D3/6-311+G(d,p) level have enabled the identification of intramolecular stability patterns across the various compounds. It has been discovered that stability is primarily determined by two factors: intramolecular hydrogen bonding involving an NH group adjacent to the sulfonyl group with either N donors or the nearby carbonyl group and potential π-π interactions between the aromatic rings of the molecules. These have been characterized through QTAIM and NCI population analyses. Furthermore, with the goal of developing predictive models for the physicochemical properties of pesticides that include the sulfonylurea family, a statistical analysis among the different properties of the studied molecules has been conducted. Significant correlations have been found between various properties, predicting a promising future for the prediction of characteristics that could assist laboratories in selecting among different pesticides.

PMID:39013157 | DOI:10.1021/acs.jpca.4c03259

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Nevin Manimala Statistics

Nurse Sensitive Indicators as Predictors of Trauma Patient Discharge Disposition

J Trauma Nurs. 2024 Jul-Aug 01;31(4):E8. doi: 10.1097/JTN.0000000000000805. Epub 2024 Jul 4.

NO ABSTRACT

PMID:39013143 | DOI:10.1097/JTN.0000000000000805

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Nevin Manimala Statistics

Factors Influencing Time to Definitive Care in Hip Fracture Patients ina Rural Health System

J Trauma Nurs. 2024 Jul-Aug 01;31(4):E7. doi: 10.1097/JTN.0000000000000804. Epub 2024 Jul 4.

NO ABSTRACT

PMID:39013142 | DOI:10.1097/JTN.0000000000000804

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Nevin Manimala Statistics

South Asia’s COVID-19 History and Surveillance: Updated Epidemiological Assessment

JMIR Public Health Surveill. 2024 Jun 13. doi: 10.2196/53331. Online ahead of print.

ABSTRACT

BACKGROUND: This study updates the COVID-19 pandemic surveillance in South Asia we first conducted in 2020 with two additional years of data for the region. We assess whether COVID-19 had transitioned from pandemic to endemic at the point the World Health Organization (WHO) ended the publication health emergency status for COVID-19 on May 5, 2023.

OBJECTIVE: First, we aim to measure whether there was an expansion or contraction in the pandemic in South Asia around the WHO declaration. Second, we use dynamic and genomic surveillance methods to describe the history of the pandemic in the region and situate the window of the WHO declaration within the broader history. Third, we aim to provide historical context for the course of the pandemic in South Asia.

METHODS: In addition to updates of traditional surveillance data and dynamic panel estimates from the original study Welch et al. (2021), this study used data on sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID) to identify the appearance and duration of variants of concern. We used Nextclade nomenclature to collect clade designations from sequences and Pangolin nomenclature for lineage designations of SARS-CoV-2. Finally, we conducted a one-sided t-test for whether regional weekly speed or transmission rate per 100,000 population was greater than an outbreak threshold of ten. We ran the test iteratively with six months of data across the sample period.

RESULTS: Speed for the region remained below the outbreak threshold for over a year by the time of the WHO declaration. Acceleration and jerk were also low and stable. While the 1-day persistence coefficients remained statistically significant and positive (1.168), the 7-day persistence coefficient was negative (-0.185), suggesting limited cluster effects in which cases on a given day predict cases seven days forward. Furthermore, the shift parameters for either of the two most recent weeks around May 5, 2023, did not indicate any overall change in the persistence measure around the time of WHO declaration. From December of 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling t-test of speed equal to ten was statistically insignificant across the entire pandemic.

CONCLUSIONS: While COVID-19 continues to circulate in South Asia, the rate of transmission had remained below the outbreak threshold for well over a year ahead of the WHO declaration. COVID-19 is endemic in the region and no longer reaches the threshold of the pandemic definition. Both standard and enhanced surveillance metrics confirm that the pandemic had ended by the time of the WHO declaration. Prevention policies should be a focus ahead of future pandemics. On that point, policy should emphasize an epidemiological task force with widespread testing and a contact-tracing system.

PMID:39013116 | DOI:10.2196/53331

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Nevin Manimala Statistics

Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses

JMIR Public Health Surveill. 2024 Apr 29. doi: 10.2196/52318. Online ahead of print.

ABSTRACT

BACKGROUND: This study updates the COVID-19 pandemic surveillance in Central Asia we first conducted in 2020 by providing two additional years of data for the region. The historical context provided through additional data can inform regional preparedness and early responses to infectious outbreaks of either the SARS-CoV-2 virus or future pathogens in Central Asia.

OBJECTIVE: First, we aim to measure whether there was an expansion or contraction in the pandemic in Central Asia when the World Health Organization (WHO) declared the end of the public health emergency for the COVID-19 pandemic on May 5, 2023. Second, we use dynamic and genomic surveillance methods to describe the history of the pandemic in the region and situate the window of the WHO declaration within the broader history. Third, we aim to provide historical context for the course of the pandemic in Central Asia.

METHODS: Traditional surveillance metrics, including counts and rates of COVID-19 transmissions and deaths, and enhanced surveillance indicators, including speed, acceleration, jerk, and persistence, were used to measure shifts in the pandemic. To identify the appearance and duration of variants of concern, we used data on sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data (GISAID). We used Nextclade nomenclature to collect clade designations from sequences and Pangolin nomenclature for lineage designations of SARS-CoV-2. Finally, we conducted a one-sided t-test for whether regional speed was greater than an outbreak threshold of ten. We ran the test iteratively with six months of data across the sample period.

RESULTS: Speed for the region had remained below the outbreak threshold for seven months by the time of the WHO declaration. Acceleration and jerk were also low and stable. While the 1- and 7-day persistence coefficients remained statistically significant, the coefficients were relatively small in magnitude (0.125 and 0.347, respectively). Furthermore, the shift parameters for either of the two most recent weeks around May 5, 2023, were both significant and negative, meaning the clustering effect of new COVID-19 cases became even smaller in the two weeks around the WHO declaration. From December 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling t-test of speed equal to ten became entirely insignificant for the first time in March of 2023.

CONCLUSIONS: While COVID-19 continues to circulate in Central Asia, the rate of transmission remained well below the threshold of an outbreak for seven months ahead of the WHO declaration. COVID-19 appeared to be endemic in the region and no longer reached the threshold of pandemic. Both standard and enhanced surveillance metrics suggest the pandemic had ended by the time of the WHO declaration.

PMID:39013115 | DOI:10.2196/52318