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Nevin Manimala Statistics

Social Distancing During the COVID-19 Pandemic and Neonatal Mortality in the US

JAMA Netw Open. 2024 Jul 1;7(7):e2422995. doi: 10.1001/jamanetworkopen.2024.22995.

ABSTRACT

IMPORTANCE: Neonatal mortality is a major public health concern that was potentially impacted by the COVID-19 pandemic. To prepare for future health crises, it is important to investigate whether COVID-19 pandemic-related interventions were associated with changes in neonatal mortality.

OBJECTIVE: To investigate whether social distancing during the pandemic was associated with a higher neonatal mortality rate.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study examined maternal-linked birth and infant death records from the National Center for Health Statistics, a population-level US database, from 2016 through 2020. The mortality rates were correlated using machine learning-based autoregressive integrated moving average (ARIMA) models with the social distancing index (SDI). The reference period was January 2016 through February 2020, and the pandemic period was March through December 2020. Statistical analysis was performed from March 2023 to May 2024.

EXPOSURES: SDI, computed from 6 mobility metrics.

MAIN OUTCOMES AND MEASURES: The primary outcome was neonatal mortality rate, defined as death at age less than 28 days.

RESULTS: The study included 18 011 173 births, of which 15 136 596 were from the reference period (7 753 555 [51.22%] male; 11 643 094 [76.92%] with maternal age of 20 to 34 years) and 2 874 577 were from the pandemic period (1 472 539 [51.23%] male; 2 190 158 [76.19%] with maternal age of 20 to 34 years). Through ARIMA-adjusted analyses, accounting for the declining mortality trend in the reference period, the mortality rates during the pandemic period did not significantly differ from the expected rates. SDI did not exhibit significant correlations with neonatal mortality (unadjusted: correlation coefficient [CC], 0.14 [95% CI, -0.53 to 0.70]; ARIMA adjusted: CC, 0.29 [95% CI, -0.41 to 0.77]), early neonatal mortality (unadjusted: CC, 0.33 [95% CI, -0.37 to 0.79]; ARIMA adjusted: CC, 0.45 [95% CI, -0.24 to 0.84]), and infant mortality (unadjusted: CC, -0.09 [95% CI, -0.68 to 0.57]; ARIMA adjusted: CC, 0.35 [95% CI, -0.35 to 0.80]). However, lag analyses found that SDI was associated with higher neonatal and early neonatal mortality rates with a 2-month lag period, but not with infant mortality rate. SDI was also associated with increases in 22-to-27 weeks’ and 28-to-32 weeks’ preterm delivery with a 1-month lag period.

CONCLUSIONS AND RELEVANCE: In this population-level study of National Center for Health Statistics databases, neonatal, early neonatal, and infant mortality rates did not increase during the initial COVID-19 pandemic period. However, associations were observed between the pandemic period social distancing measures and higher rates of neonatal and early neonatal mortality, as well as preterm birth rate with a lag period, suggesting the importance of monitoring infant health outcomes following pandemic-related population behavior changes.

PMID:39023889 | DOI:10.1001/jamanetworkopen.2024.22995

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Nevin Manimala Statistics

Trends and Disparities in Next-Generation Sequencing in Metastatic Prostate and Urothelial Cancers

JAMA Netw Open. 2024 Jul 1;7(7):e2423186. doi: 10.1001/jamanetworkopen.2024.23186.

ABSTRACT

IMPORTANCE: Targeted therapies based on underlying tumor genomic susceptible alterations have been approved for patients with metastatic prostate cancer (mPC) and advanced urothelial carcinoma (aUC).

OBJECTIVE: To assess trends and disparities in next-generation sequencing (NGS) testing among patients with mPC and aUC.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used an electronic health record-derived database to extract deidentified data of patients receiving care from US physician practices, hospital-affiliated clinics, and academic practices. Patients diagnosed with mPC or aUC between March 1, 2015, and December 31, 2022, were included.

EXPOSURES: Social determinants of health evaluated by race and ethnicity, socioeconomic status (SES), region, insurance type, and sex (for aUC).

MAIN OUTCOMES AND MEASURES: The primary outcomes were (1) NGS testing rate by year of mPC and aUC diagnosis using Clopper-Pearson 2-sided 95% CIs and (2) time to NGS testing, which considered death as a competing risk. Cumulative incidence functions were estimated for time to NGS testing. Disparities in subdistributional incidence of NGS testing were assessed by race and ethnicity, SES, region, insurance type, and sex (for aUC) using the Fine-Gray modified Cox proportional hazards model, assuming different subdistribution baseline hazards by year of mPC and aUC diagnosis.

RESULTS: A total of 11 927 male patients with mPC (167 Asian [1.6%], 1236 Black [11.6%], 687 Hispanic or Latino [6.4%], 7037 White [66.0%], and 1535 other [14.4%] among 10 662 with known race and ethnicity) and 6490 patients with aUC (4765 male [73.4%]; 80 Asian [1.4%], 283 Black [4.8%], 257 Hispanic or Latino [4.4%], 4376 White [74.9%], and 845 other [14.5%] among 5841 with known race and ethnicity) were eligible and included. Both cohorts had a median age of 73 years (IQR, 66-80 years), and most underwent NGS testing before first-line treatment in the mPC cohort (1502 [43.0%]) and before second-line treatment in the aUC cohort (1067 [51.3%]). In the mPC cohort, the rates of NGS testing increased from 19.0% in 2015 to 27.1% in 2022, but Black patients (hazard ratio [HR], 0.75; 95% CI, 0.67-0.84) and Hispanic or Latino patients (HR, 0.70; 95% CI, 0.60-0.82) were less likely to undergo NGS testing. Patients with mPC who had low SES (quintile 1: HR, 0.74 [95% CI, 0.66-0.83]; quintile 2: HR, 0.89 [95% CI, 0.80-0.99]), had Medicaid (HR, 0.53; 95% CI, 0.38-0.74) or Medicare or other government insurance (HR, 0.89; 95% CI, 0.82-0.98), or lived in the West (HR, 0.81; 95% CI, 0.70-0.94) also were less likely to undergo testing. In the aUC cohort, the NGS rate increased from 14.1% in 2015 to 46.6% in 2022, but Black patients (HR, 0.76; 95% CI, 0.61-0.96) and those with low SES (quintile 1: HR 0.77 [95% CI, 0.66-0.89]; quintile 2: HR, 0.87 [95% CI, 0.76-1.00]) or Medicaid (HR, 0.72; 95% CI, 0.53-0.97) or Medicare or other government insurance (HR, 0.88; 95% CI, 0.78-0.99) were less likely to undergo NGS testing. Patients with aUC living in the South were more likely to undergo testing (HR, 1.29; 95% CI, 1.12-1.49).

CONCLUSIONS AND RELEVANCE: These findings suggest that although NGS tumor testing rates improved over time, the majority of patients still did not undergo testing. These data may help with understanding current disparities associated with NGS testing and improving access to standard-of-care health care services.

PMID:39023888 | DOI:10.1001/jamanetworkopen.2024.23186

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Nevin Manimala Statistics

The Impact of Health Status on Health Care Utilization of Children in Foster Care

J Dev Behav Pediatr. 2024 Jul 17. doi: 10.1097/DBP.0000000000001302. Online ahead of print.

ABSTRACT

OBJECTIVES: This study sought to understand the health status of children in foster care; the relationship between their health status and health care utilization; and demographic and placement factors associated with health care utilization.

METHODS: To estimate relationships between health status and health care utilization, this study used electronic health records from 4976 children in foster care seen at a children’s hospital in the southwestern United States, 2017 to 2020. An algorithm classified patients’ health status as nonchronic, noncomplex chronic, or complex chronic. Descriptive statistics were used to describe patients and utilization. The χ2, Kruskal-Wallis, and pairwise comparison post hoc tests were used to examine relationships between health status and health care utilization. Zero-inflated negative binomial (ZINB) regression further estimated relationships between health status and health care utilization while factoring in demographic and placement characteristics.

RESULTS: Within the sample, 35.6% had complex chronic health status. Significant differences were found among health status groups in age, gender, ethnicity, and maltreatment exposure. Both nonparametric pairwise comparisons and the ZINB regression model showed that having complex chronic health was associated with higher utilization of all hospital resources: emergency, admission, primary and specialty care, and various therapies, relative to having noncomplex chronic and nonchronic health.

CONCLUSION: A high percentage of children in foster care had complex chronic health, and these patients used significantly more resources. This study suggests that hospital-based health clinics focused on children in foster care and care coordination may be warranted.

PMID:39023862 | DOI:10.1097/DBP.0000000000001302

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Nevin Manimala Statistics

In-Vitro Comparison of Titanium Disc Surface Roughness and Bacterial Colonization after Ultrasonic Instrumentation with Three Different Tips

J Oral Implantol. 2024 Jul 17. doi: 10.1563/aaid-joi-D-24-00049. Online ahead of print.

ABSTRACT

During implant maintenance, preserving a smooth surface on the machined trans-mucosa abutment is critical to reduce biofilm attachment and colonization. The present study compare the surface roughness and bacterial colonization of machined titanium surfaces after instrumentation with various materials. Forty-four machined Grade 23 titanium discs were instrumented with a round Polyether Ether Ketone (PEEK) tip, a plastic curette tip, or a pure titanium curette tip with piezoelectric devices. Before and after instrumentation, the surface roughness (Ra and Rz) values were analyzed with a profilometer and scanning electron microscopy (SEM). Streptococcus sanguinis was cultured and incubated for 24 hours on the instrumented discs, and colony-forming units (CFU)/mL were obtained for each group. Samples instrumented with the metal ultrasonic tip significantly increased surface roughness compared to the other groups. Thisresulted in greater colonization by S. sanguinis than surfaces instrumented with PEEK tips or the negative control. Samples instrumented with PEEK and plastic tips did not exhibit any statistically significant increase in surface roughness. SEM analysis revealed a significantly rougher surface of discs instrumented with metal compared to discs instrumented with plastic or PEEK tip, despite the possibility of debris from tip dissolution. Our results suggested that instrumentation with metal ultrasonic tips with piezoelectric devices significantly increase machined titanium’s surface roughness and elicited higher biofilm formation in vitro. Meanwhile, instrumentation of machined titanium with PEEK or plastic ultrasonic tips did not affect the surface roughness or bacterial adhesion.

PMID:39023858 | DOI:10.1563/aaid-joi-D-24-00049

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Nevin Manimala Statistics

Estimating Accessibility Problems in the Swedish Housing Stock Using Citizen Science: The Housing Experiment 2021

J Appl Gerontol. 2024 Jul 18:7334648241262646. doi: 10.1177/07334648241262646. Online ahead of print.

ABSTRACT

Accessible housing for the aging population is important, but large-scale reliable information on accessibility problems in ordinary housing is lacking. This study aimed to describe the prevalence of environmental barriers and analyze potential accessibility problems in the Swedish housing stock and to evaluate the validity and representativeness of housing data collected in a citizen science project. Data on environmental barriers in 1181 dwellings were collected by members of the public. Prevalence of barriers and potential accessibility problems were analyzed using descriptive statistics and ranking methodology. Validity and representativeness were addressed by comparisons with public statistics and research, and analysis of data properties. It was found there are substantial numbers of environmental barriers in dwellings across Sweden that generate accessibility problems for people with functional limitations. The results suggest that with user-friendly data collection tools and instructions, data validity and representativeness can be achieved in citizen science projects involving older adults.

PMID:39023853 | DOI:10.1177/07334648241262646

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Nevin Manimala Statistics

Spatial Prediction and Influencing Factors Analysis of Soil Salinization in Coastal Area Based on MGWR

Huan Jing Ke Xue. 2024 Jul 8;45(7):4293-4301. doi: 10.13227/j.hjkx.202307195.

ABSTRACT

Quantitative analysis of the spatial non-stationary characteristics of soil salinization influencing factors and the prediction of its spatial distribution are of great significance for the rational use of coastal saline soil resources and the formulation of local prevention and control measures. In this study, the Hekou District of Dongying City, Shandong Province, was used as the study area, and the descriptive statistics of soil salinization status were conducted using classical statistical methods. Spatial autocorrelation theory was used to explore the characteristics of global and local spatial structure of soil salinization in the study area. Influential factors related to soil salinity were selected, and multivariate linear regression (MLR), geographically weighted regression (GWR), and multi-scale geographically weighted regression (MGWR) methods were used to model and predict the spatial distribution of soil salinity in the study area and to analyze the spatial heterogeneity of the effects of different influencing factors on soil salinity. The results showed that: ① The mean value of soil salinity in the study area was 5.84 g·kg-1, indicating severe salinization, with a global Moran’s I index of 0.19 (P<0.00) and obvious spatial aggregation characteristics. ② Among the three models, the MGWR model had the highest modeling accuracy. Compared with that of the MLR model, the Radj2 of GWR and MGWR improved by 0.05 and 0.07, respectively, and the RSS decreased by 210.13 and 179.95, respectively. ③ The results of MGWR regression showed that the spatial distribution of soil salinity appeared to be mainly affected by the middle soil salinity, soil clay content, and vegetation cover from the mean values of standardized regression coefficients of different influencing factors. Different influencing factors had significant spatial non-stationary characteristics on soil salinization. ④ The results of the spatial distribution prediction of soil salinity in MGWR showed that the areas of high soil salinity (≥6 g·kg-1) were mainly distributed in the northern part of the study area, with an overall spatial trend of decreasing from the coast to the interior. The results of the study can be used as a reference for the analysis and predictive mapping of factors affecting soil salinization in the county and on a larger scale using MGWR.

PMID:39022974 | DOI:10.13227/j.hjkx.202307195

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Nevin Manimala Statistics

N(2)O Emission Factors from Wastewater Treatment Plants Based on Literature Statistics and Model Fitting

Huan Jing Ke Xue. 2024 Jul 8;45(7):4063-4073. doi: 10.13227/j.hjkx.202307028.

ABSTRACT

The emission of nitrous oxide (N2O) during wastewater treatment cannot be ignored. The analysis of statistical data from literature based on 126 empirical studies revealed that the geographical factors of wastewater treatment plants (WWTPs) had a significant impact on N2O emission factors. However, the N2O emission factors of WWTPs in all regions of the world were generally lower than the Intergovernmental Panel on Climate Change (IPCC) recommended values. In China, the N2O emission factors (in N2O-N/Ninfluent) of WWTPs were approximately 0.000 35-0.065 20 kg·kg-1. Meanwhile, the N2O emission factors of different wastewater treatment processes were also significantly different, especially since the sequencing batch reactor (SBR) process had higher emissions. The use of uniform default emission factors for accounting was prone to overestimate N2O emissions, and it is recommended that countries conduct actual monitoring or modeling studies to develop categorical emission factors suitable for local conditions. In addition, the N2O emission factor based on total nitrogen (TN) removal was weakly negatively correlated with TN removal in 126 empirical data, which was more in line with bioprocessing stoichiometry and could provide an accurate accounting method for N2O. To this end, a digital twin model was developed to dynamically simulate a case anaerobic-anoxic-aerobic (AAO) WWTP to comprehensively quantify the dynamic emission behavior of N2O, which demonstrated that N2O emissions had significant seasonal and daily variability and were only equivalent to 11% of the calculated value of the emission factor based on the IPCC recommendation. Comparing the scatter linear fitting and categorical mean exponential fitting methods, it was found that the latter could more accurately reflect the negative correlation between the N2O emission factors and the TN removal rate, and an exponential regression equation between the average N2O emission factor based on the amount of TN removed and the TN removal rate was further developed to predict the N2O emission. The dynamic simulation and categorical index fitting methods provided in this study are important references for the accurate accounting of N2O emissions in similar WWTPs and provide help for understanding and responding to the N2O emission problems.

PMID:39022954 | DOI:10.13227/j.hjkx.202307028

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Nevin Manimala Statistics

Nasopharyngeal cancer mortality in disaggregated Asian and non-Asian Americans

Head Neck. 2024 Jul 18. doi: 10.1002/hed.27857. Online ahead of print.

ABSTRACT

BACKGROUND: Nasopharyngeal carcinoma (NPC) mortality varies based on multiple risk factors. While NPC mortality is higher in Asia, little is known about Asian subgroups in the United States (US).

METHODS: Using the 2005-2020 National Vital Statistics System, we examined NPC mortality by age, race (non-Hispanic black, Hispanic white (HW), non-Hispanic white (NHW), Chinese, Filipino, Asian Indian, Japanese, Korean, Vietnamese), sex, and nativity (Untied States or foreign-born).

RESULTS: Upon disaggregation, Chinese (1.96 [CI: 1.78-2.16]), Filipino (0.68 [0.68-1.11]), and Vietnamese Americans (0.68 [0.52-1.10]) had the top age-adjusted mortality rates (AAMR per 100 000 person-years). Foreign-born Chinese, Vietnamese, Filipinos, Asian Indians, and NHW had higher AAMRs compared to US-born persons. All male groups had higher AAMR compared to females. Stratifying for race, nativity, and sex, foreign-born Chinese males (4.09 [3.79-4.40]) had the highest AAMR.

CONCLUSION: These findings demonstrate the importance of disaggregating NPC mortality data by Asian subgroups, providing valuable insights for targeted public health interventions in the United States.

PMID:39022914 | DOI:10.1002/hed.27857

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Nevin Manimala Statistics

Methods for multiancestry genome-wide association study meta-analysis

Ann Hum Genet. 2024 Jul 18. doi: 10.1111/ahg.12572. Online ahead of print.

ABSTRACT

Genome-wide association studies (GWAS) have significantly enhanced our understanding of the genetic basis of complex diseases. Despite the technological advancements, gaps in our understanding remain, partly due to small effect sizes and inadequate coverage of genetic variation. Multiancestry GWAS meta-analysis (MAGMA) addresses these challenges by integrating genetic data from diverse populations, thereby increasing power to detect loci and improving fine-mapping resolution to identify causal variants across different ancestry groups. This review provides an overview of the protocols, statistical methods, and software of MAGMA, as well as highlighting some challenges associated with this approach.

PMID:39022911 | DOI:10.1111/ahg.12572

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Nevin Manimala Statistics

Oxidative balance scores in Korean adults are associated with periodontitis

J Periodontol. 2024 Jul 18. doi: 10.1002/JPER.24-0164. Online ahead of print.

ABSTRACT

BACKGROUND: The Oxidative Balance Score (OBS) is a comprehensive metric that assesses the state of a person’s oxidative balance. This study aimed to investigate the relationship between the oxidative balance score and moderate and severe periodontitis in a representative sample of Korean adults.

METHODS: Healthcare big data from the 7th Korea National Health and Nutrition Examination Survey (2016-2018) was used, and 16,489 adults aged ≥19 years were included. Multivariate logistic regression analysis was performed to investigate the effect of sex-specific oxidative balance scores on periodontitis.

RESULTS: In comparison with participants with a lower oxidative balance score, those with a higher oxidative balance score had a lower incidence of moderate and severe periodontitis (p < 0.05). After adjusting for covariates, the oxidative balance score was negatively associated with moderate (odds ratio [OR] = 0.952; 95% confidence interval [CI]: 0.934-0.971) and severe (OR = 0.958; 95% CI: 0.931-0.986) periodontitis; however, the result was not significant for severe periodontitis in women’s (OR = 0.975; 95% CI: 0.934-1.018). Our study showed a statistically significant association between OBS and moderate and severe periodontitis, the small effect size should be interpreted with caution.

CONCLUSIONS: The oxidative balance score was associated with moderate and severe periodontitis in Korean adults. Therefore, managing this score may help reduce the risk of periodontitis.

PMID:39022872 | DOI:10.1002/JPER.24-0164