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Nevin Manimala Statistics

Racial and Ethnic Differences in Maternal and Child COVID-19 Vaccination Intent Among Pregnant and Postpartum Women in the USA (April-June 2020): an Application of Health Belief Model

J Racial Ethn Health Disparities. 2022 Nov 9. doi: 10.1007/s40615-022-01434-z. Online ahead of print.

ABSTRACT

This study investigated racial/ethnic differences in pregnant and postpartum women’s intentions to receive the COVID-19 vaccination (maternal COVID-19 vaccination intent) and intentions to vaccinate their children against COVID-19 (child COVID-19 vaccination intent) during the early months of the COVID-19 pandemic (April-June 2020). This study also assessed Health Belief Model constructs to examine their influence on maternal and child COVID-19 vaccination intent by race/ethnicity. This study includes 489 US pregnant and postpartum women (18-49 years) recruited via Prolific Academic to complete a 55-item cross-sectional online survey. Crude and adjusted logistic regression analyses were conducted to determine the associations between race/ethnicity, maternal COVID-19 vaccination intent, and child COVID-19 vaccination intent. Among pregnant women, the odds of maternal COVID-19 vaccination intent (aOR = 2.20, 95% CI: .862, 5.61) and child COVID-19 vaccination intent (aOR = .194, 95% CI: .066, .565) among NH Black women were statistically significantly lower than that of NH White women after adjustment for demographic, health, and health belief model variables. Among postpartum women, although some racial differences in maternal or child COVID-19 vaccination intent were observed, these differences were not statistically significant in unadjusted and adjusted models. The findings have implications for future research and interventions which should adopt a racial health equity lens and identify strategies grounded in institutional trustworthiness and systems perspectives to address racial/ethnic disparities in COVID-19 vaccination intent among pregnant and postpartum women during novel pandemics.

PMID:36352345 | DOI:10.1007/s40615-022-01434-z

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Nevin Manimala Statistics

Child Access Prevention Laws and Non-Hispanic Black Youth Firearm Mortality

J Community Health. 2022 Nov 9. doi: 10.1007/s10900-022-01163-8. Online ahead of print.

ABSTRACT

Firearm injuries are the leading cause of death for youths 19 and younger in general and the third leading cause of death for non-Hispanic Black youths. Child Access Prevention (CAP) laws have been explored concerning their impact on firearm mortality reduction among heterogenous groups of youth, but not specifically among non-Hispanic Black youths. We analyzed data related to non-Hispanic Black youth firearm mortality, non-Hispanic Black poverty rates, firearm dealer density, and CAP laws for each state to ascertain the impact of CAP laws from 2015 to 2019. During the study period, a total of 6778 non-Hispanic Black youths died due to firearm trauma with the leading causes of death being homicides (85.8%); mostly seen among males (96%), and in the South (53.2%). When compared by CAP laws, the states with the strongest laws had statistically significantly lower rates of firearm mortality than states with the weakest laws. After adjusting for state poverty and firearm dealer density, the differences were not statistically significant but still, stronger CAP laws were associated with lower rates of firearm mortality among non-Hispanic Black youth. CAP laws alone can have a modest impact on non-Hispanic Black youth firearm mortality. To adequately reduce firearm mortality among non-Hispanic Black youths, the state and local governments should, along with CAP laws, enact policies to reduce poverty, crime, access to firearms by criminals, and neighborhood dysfunction among non-Hispanic Black communities.

PMID:36352339 | DOI:10.1007/s10900-022-01163-8

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Nevin Manimala Statistics

Metabolic effects of dopamine-agonists treatment among patients with prolactinomas

Endocrine. 2022 Nov 9. doi: 10.1007/s12020-022-03238-x. Online ahead of print.

ABSTRACT

PURPOSE: To evaluate the effect of cabergoline treatment on metabolic parameters including the Triglyceride-glucose (TyG) index in newly diagnosed patients with prolactinoma.

METHODS: 71 consecutive nondiabetic patients with prolactinoma were enrolled. Anthropometric and laboratory tests including TyG index were measured at baseline, 3 and 6 months visits. Treatment with cabergoline at the dose of 0.25 mg twice weekly was started and increased according to prolactin levels and continued for 6 months.

RESULTS: At the baseline examination, the mean (SD) age, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), and diastolic blood pressure (DBP) of patients were 36.2 (10.5) years, 29.2 (5.0) kg/m2, 98.2 (13.7) cm, 115.3 (13.3) mmHg, and 71.4 (8.1) mmHg, respectively. Forty-one (57.7%) of patients were women and 46 (64.8%) had microadenoma. Cabergoline treatment significantly improved anthropometric and metabolic measures including BMI, WC, fasting plasma glucose, triglycerides, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, uric acid (only among women), TyG index, and hypogonadism. Blood pressure (both systolic and diastolic) levels remained steady except for a significant decrease in DBP after 6 months of treatment only among women. A declining trend in MetS prevalence was found from baseline to a 3-month evaluation in both genders which was statistically significant among men.

CONCLUSION: Short-term treatment with cabergoline can significantly improve cardiovascular risk factors except for blood pressure. Moreover, the TyG index as a surrogate marker of insulin resistance decreased significantly after the reduction of prolactin by treatment. Generally, results were similar among both genders.

PMID:36352337 | DOI:10.1007/s12020-022-03238-x

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Nevin Manimala Statistics

Prediabetes is more than a pre-disease: additional evidences supporting the importance of its early diagnosis and appropriate treatment

Endocrine. 2022 Nov 9. doi: 10.1007/s12020-022-03249-8. Online ahead of print.

ABSTRACT

AIM: To identify Prediabetes (PreD) as early and serious diabetes step using clinical-biochemical characteristics in the population of the Primary Prevention Diabetes Buenos Aires (PPDBA) study.

METHODS: PPDBA Study evaluated benefits of adopting healthy lifestyles to prevent T2D. It recruited people 45-75 years of age with PreD (impaired fasting glycaemia [IFG], impaired glucose tolerance [IGT] or both, American Diabetes Association criteria), using an opportunistic approach. They completed a FINDRISC questionnaire, and those with a score ≥13 points were invited to participate. When they accepted, we performed an oral glucose tolerance test (OGTT) with a complete lipid profile and HbA1c while physicians completed a clinical history. We recruited 367 persons, and depending on OGTT results, the sample was divided into normals (NGT), PreD, or with diabetes (last one was excluded in our analysis). Data were statistically analyzed using parametric and nonparametric tests and logistic regression to identify parameters associated with PreD.

RESULTS: From the recruited (n = 367) 47.7% have NGT, 48.5% PreD and 3.8% unknown T2D (excluded). People with PreD were significantly older, with a higher percentage of overweight/obesity, BMI, and larger waist circumference than NGT. They also showed significantly higher fasting and 2 h post glucose load, HbA1c, and triglyceride levels. No significant differences were recorded in the blood pressure, lipid profile though both groups had abnormally high LDL-c values. They also had a larger percentage of TG/HDL-c ratios (insulin resistance indicator) (55% vs. 37.5%). Logistic regression analysis showed that PreD was significant associated with age, waist circumference, and triglyceride above target values.

CONCLUSION: Our findings showed that clinical and biochemical parameters were significantly different between people with PreD and those with NGT. This evidence supports the concept that PreD is a serious dysfunction, which should be early diagnosed and treated properly to prevent its transition to T2D and its complications.

PMID:36352336 | DOI:10.1007/s12020-022-03249-8

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Nevin Manimala Statistics

Evaluating the difference in walk patterns among normal-weight and overweight/obese individuals in real-world surfaces using statistical analysis and deep learning methods with inertial measurement unit data

Phys Eng Sci Med. 2022 Nov 9. doi: 10.1007/s13246-022-01195-3. Online ahead of print.

ABSTRACT

Unusual walk patterns may increase individuals’ risks of falling. Anthropometric features of the human body, such as the body mass index (BMI), influences the walk patterns of individuals. In addition to the BMI, uneven walking surfaces may cause variations in the usual walk patterns of an individual that will potentially increase the individual’s risk of falling. The objective of this study was to statistically evaluate the variations in the walk patterns of individuals belonging to two BMI groups across a wide range of walking surfaces and to investigate whether a deep learning method could classify the BMI-specific walk patterns with similar variations. Data collected by wearable inertial measurement unit (IMU) sensors attached to individuals with two different BMI were collected while walking on real-world surfaces. In addition to traditional statistical analysis tools, an advanced deep learning-based neural network was used to evaluate and classify the BMI-specific walk patterns. The walk patterns of overweight/obese individuals showed a greater correlation with the corresponding walking surfaces than the normal-weight population. The results were supported by the deep learning method, which was able to classify the walk patterns of overweight/obese (94.8 ± 4.5%) individuals more accurately than those of normal-weight (59.4 ± 23.7%) individuals. The results suggest that application of the deep learning method is more suitable for recognizing the walk patterns of overweight/obese population than those of normal-weight individuals. The findings from the study will potentially inform healthcare applications, including artificial intelligence-based fall assessment systems for minimizing the risk of fall-related incidents among overweight and obese individuals.

PMID:36352317 | DOI:10.1007/s13246-022-01195-3

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Nevin Manimala Statistics

Nomogram to Predict Recurrence and Guide a Pragmatic Surveillance Strategy After Resection of Hepatoid Adenocarcinoma of the Stomach: A Retrospective Multicenter Study

Ann Surg Oncol. 2022 Nov 9. doi: 10.1245/s10434-022-12757-w. Online ahead of print.

ABSTRACT

BACKGROUND: An accurate recurrence risk assessment system and surveillance strategy for hepatoid adenocarcinoma of the stomach (HAS) remain poorly defined. This study aimed to develop a nomogram to predict postoperative recurrence of HAS and guide individually tailored surveillance strategies.

METHODS: The study enrolled all patients with primary HAS who had undergone curative-intent resection at 14 institutions from 2004 to 2019. Clinicopathologic variables with statistical significance in the multivariate Cox regression were incorporated into a nomogram to build a recurrence predictive model.

RESULTS: The nomogram of recurrence-free survival (RFS) based on independent prognostic factors, including age, preoperative carcinoembryonic antigen, number of examined lymph nodes, perineural invasion, and lymph node ratio, achieved a C-index of 0.723 (95% confidence interval [CI], 0.674-0.772) in the whole cohort, which was significantly higher than those of the eighth American Joint Committed on Cancer (AJCC) staging system (C-index, 0.629; 95% CI, 0.573-0.685; P < 0.001). The nomogram accurately stratified patients into low-, middle-, and high-risk groups of postoperative recurrence. The postoperative recurrence risk rates for patients in the middle- and high-risk groups were respectively 3 and 10 times higher than for the low-risk group. The patients in the middle- and high-risk groups showed more recurrence and metastasis, particularly multiple site metastasis, within 36 months after the operation than those in the low-risk group (low, 2.2%; middle, 8.6%; high, 24.0%; P = 0.003).

CONCLUSIONS: The nomogram achieved good prediction of postoperative recurrence for the patients with HAS after radical resection. For the middle- and high-risk patients, more active surveillance and targeted examination methods should be adopted within 36 months after the operation, particularly for liver and multiple metastases.

PMID:36352297 | DOI:10.1245/s10434-022-12757-w

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Nevin Manimala Statistics

Exploring the Feasibility and Acceptability of Providing Caregivers Who Formula-feed with Smaller Infant Bottles in a Primary Care Clinic

Matern Child Health J. 2022 Nov 9. doi: 10.1007/s10995-022-03519-x. Online ahead of print.

ABSTRACT

OBJECTIVES: Larger bottle size is associated with faster weight gain in infants, but little is known about acceptability and feasibility of providing bottles in primary care clinics.

METHODS: We randomized parent-infant dyads (N = 40) to receive a set of 4-ounce bottles or to continue using their own bottles. Demographic and anthropometric information were collected at enrollment and one follow-up visit 1-5 months later. The primary aim was to assess feasibility and acceptability of the intervention strategy. We compared components of bottle feeding, including usual bottle sizes used, number and volume of feeds with Wilcoxon rank-sum tests, and changes in weight-for-age and weight-for-length z-scores during the study period with t-tests, using p < 0.05 as an indicator of statistical significance.

RESULTS: Of participants randomized to receive bottles, 90% were using the 4oz bottles at follow up. The intervention group reported a significantly lower median bottle size (4oz) than the control group (8oz) at follow up, and parents reported acceptability and continued use of the bottles.

CONCLUSIONS FOR PRACTICE: An intervention to provide smaller bottles was feasible, mostly acceptable, resulted in lower median bottle size. Further research is needed to determine whether it represents a novel way to prevent rapid infant weight gain.

PMID:36352291 | DOI:10.1007/s10995-022-03519-x

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Nevin Manimala Statistics

Missouri’s Abortion law: Access to care for Patients with Lethal Fetal Anomalies at a Midwest Tertiary care Center

Matern Child Health J. 2022 Nov 9. doi: 10.1007/s10995-022-03511-5. Online ahead of print.

ABSTRACT

OBJECTIVES: Missouri passed an 8-week gestational age abortion in August 2019. The objective of this study was to compare distance and time from referral to evaluation between patients who continued their pregnancy and those who terminated in patients with severe and lethal fetal anomalies and estimate the impact of the Missouri gestational age abortion ban on distance to abortion care in this patient population.

METHODS: This is a retrospective cohort study of patients seen at the Washington University in St. Louis (WUSTL) Fetal Care Center (FCC) with a severe or lethal fetal anomaly between July 2018 and June 2019. Patient characteristics including gestational age at referral and distance traveled to the FCC were compared between patients who underwent abortion and who continued their pregnancies.

RESULTS: From July 2018 to June 2019, 463 patients were seen in the Fetal Care Center and 13% (60/463) were diagnosed with severe or lethal fetal anomalies comprising the study population for this analysis. Of these, 21 (35%) patients underwent an abortion, and 39 (65%) patients continued their pregnancy. Patients who underwent abortion were referred at a significantly earlier gestational age (median 19 weeks [IQR 17, 20 weeks] v. 20 weeks [IQR 18, 24 weeks]), p = 0.04. There was a statistically significant difference between the median latency time between patients who underwent an abortion and who continued their pregnancy (median 8 days [IQR 4,13 days] v. 14 days [IQR 9, 22 days], p < 0.01).

CONCLUSION: Patients with severe or lethal fetal anomalies are often evaluated at later gestational ages, which may preclude their access to abortion services.

PMID:36352286 | DOI:10.1007/s10995-022-03511-5

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Nevin Manimala Statistics

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Commun Med (Lond). 2022 Oct 31;2(1):136. doi: 10.1038/s43856-022-00191-8.

ABSTRACT

BACKGROUND: During the COVID-19 pandemic there has been a strong interest in forecasts of the short-term development of epidemiological indicators to inform decision makers. In this study we evaluate probabilistic real-time predictions of confirmed cases and deaths from COVID-19 in Germany and Poland for the period from January through April 2021.

METHODS: We evaluate probabilistic real-time predictions of confirmed cases and deaths from COVID-19 in Germany and Poland. These were issued by 15 different forecasting models, run by independent research teams. Moreover, we study the performance of combined ensemble forecasts. Evaluation of probabilistic forecasts is based on proper scoring rules, along with interval coverage proportions to assess calibration. The presented work is part of a pre-registered evaluation study.

RESULTS: We find that many, though not all, models outperform a simple baseline model up to four weeks ahead for the considered targets. Ensemble methods show very good relative performance. The addressed time period is characterized by rather stable non-pharmaceutical interventions in both countries, making short-term predictions more straightforward than in previous periods. However, major trend changes in reported cases, like the rebound in cases due to the rise of the B.1.1.7 (Alpha) variant in March 2021, prove challenging to predict.

CONCLUSIONS: Multi-model approaches can help to improve the performance of epidemiological forecasts. However, while death numbers can be predicted with some success based on current case and hospitalization data, predictability of case numbers remains low beyond quite short time horizons. Additional data sources including sequencing and mobility data, which were not extensively used in the present study, may help to improve performance.

PMID:36352249 | DOI:10.1038/s43856-022-00191-8

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Nevin Manimala Statistics

Association between neonatal phototherapy and future cancer: an updated systematic review and meta-analysis

Eur J Pediatr. 2022 Nov 10. doi: 10.1007/s00431-022-04675-6. Online ahead of print.

ABSTRACT

Phototherapy is the main treatment of neonatal hyperbilirubinemia to prevent encephalopathy. It is generally believed to be safe; however, some studies have shown it might be associated with cancer development. In this systematic review and meta-analysis, we aimed to assess the effect of neonatal phototherapy on future cancer risk. A systematic search in 13 databases was conducted in December 2018 and updated in August 2022 to identify studies that report cancer development after exposure to phototherapy. Throughout the study period, regular manual searches were also conducted to include new studies. A meta-analysis using R programming language was done in which the odds ratios (ORs) with 95% confidence intervals (CIs) were estimated and pooled using the reported adjusted and unadjusted data. Fifteen studies were included. A statistically significant association was detected between neonatal phototherapy and any type of cancer (OR 1.24; 95% CI 1.1, 1.4), any hematopoietic cancer (OR 1.49; 95% CI 1.17, 1.91), any leukemia (OR 1.35; 95% CI 1.08, 1.67), and myeloid leukemia (OR 2.86; 95% CI 1.4, 5.84). The other investigated cancers (lymphoid leukemia, Hodgkin’s lymphoma, kidney cancer, nervous system cancer, and skin cancer) were not associated with phototherapy. Conclusions: Phototherapy may carry a possible risk of future cancers. Future research is needed to quantify the magnitude of the cancer risk. These future studies should consider predictors of preterm birth or exclude premature babies from their analysis. What is Known • There were various reports about the possible association between phototherapy in neonates and the increased risk of cancer in the future. What is New • A statistically significant association between phototherapy and various hematopoietic cancers (especially myeloid leukemia) was recorded. • The effect of the duration of phototherapy on the increased risk of hematopoietic cancers is yet unclear.

PMID:36352244 | DOI:10.1007/s00431-022-04675-6