Tag: statistics

PLoS One. 2021 Jul 9;16(7):e0254185. doi: 10.1371/journal.pone.0254185. eCollection 2021.

ABSTRACT

BACKGROUND: Binge drinking is a pattern of harmful use of alcohol and it is defined as four drinks for women and five drinks for men in about 2 hours. This behavior causes public health problems like damaging different body organs.

OBJECTIVE: To assess binge drinking and associated factors among Bahir Dar University students in Northwest Ethiopia.

METHOD: A cross sectional study was conducted in November 2017. Systematic sampling technique was used to select 422 participants. Structured questionnaire was used to collect data. Linear and Logistic regression models were used to predict the role of explanatory variables on behavioral intention and binge drinking, respectively. Independent variables with a p-value of <0.05 at 95% confidence interval were considered as statistically significant in the final model.

RESULT: A total of 413 students participated in this study and 33.4%(95% CI: 28.3-38.9) were engaged in binge drinking. Experiential attitude, instrumental attitude, and self-efficacy were found to be significant predictors of intention to binge drinking (p<0.05). Experiential attitude, environmental constraint, injunctive norm, and knowledge predictors were significantly associated with binge drinking (p<0.05).

CONCLUSION: Our study indicated that one-third of the students practiced binge drinking. This behavior was associated with experiential attitude, injunctive norm, environmental constraints, and knowledge factors. Additionally, experiential attitude, instrumental attitude, and self-efficacy constructs had explained behavioral intention. This implies focusing on the abovementioned determinant factors is imperative while designing intervention strategy.

PMID:34242321 | DOI:10.1371/journal.pone.0254185

PLoS One. 2021 Jul 9;16(7):e0254178. doi: 10.1371/journal.pone.0254178. eCollection 2021.

ABSTRACT

Boosting techniques from the field of statistical learning have grown to be a popular tool for estimating and selecting predictor effects in various regression models and can roughly be separated in two general approaches, namely gradient boosting and likelihood-based boosting. An extensive framework has been proposed in order to fit generalized mixed models based on boosting, however for the case of cluster-constant covariates likelihood-based boosting approaches tend to mischoose variables in the selection step leading to wrong estimates. We propose an improved boosting algorithm for linear mixed models, where the random effects are properly weighted, disentangled from the fixed effects updating scheme and corrected for correlations with cluster-constant covariates in order to improve quality of estimates and in addition reduce the computational effort. The method outperforms current state-of-the-art approaches from boosting and maximum likelihood inference which is shown via simulations and various data examples.

PMID:34242316 | DOI:10.1371/journal.pone.0254178

PLoS One. 2021 Jul 9;16(7):e0253968. doi: 10.1371/journal.pone.0253968. eCollection 2021.

ABSTRACT

BACKGROUND: Recently, increasing attention has been paid to the periodontal health of orthodontic patients in the maintenance stage in clinical practice. The focus of this meta-analysis was to compare the effects of vacuum-formed retainers (VFR) and Hawley retainers (HR) on periodontal health, in order to provide a reference for clinical selection.

METHODS: From the establishment of the database until November 2020, a large number of databases were searched to find relevant randomized control trials, including the Cochrane Library databases, Embase, PubMed, Medline via Ovi, Web of Science, Scopus, Grey Literature in Europe, Google Scholar and CNKI. Related literature was manually searched and included in the analysis. Two researchers screened the literature according to relevant criteria. The size of the effect was determined using RevMan5.3 software, and the mean difference and 95% confidence intervals (CI) were used to estimate the results using a random effects model.

RESULTS: This meta-analysis included six randomized controlled trials involving 304 patients. The results of the meta-analysis showed that there was no statistical difference in sulcus probing depth status between the VFR group and the HR group, including at 1, 3, and 6 months. Compared with the VFR group, the HR group showed a lower gingival index at 1 month (mean difference = 0.12, 95%CI: 0.06 to 0.19) and 3 months (mean difference = 0.11, 95%CI: 0.06 to 0.17), while there was no statistically significant difference at 6 months (mean difference = 0.10, 95%CI: -0.07 to 0.27). The plaque index of the HR group also showed a good state at 1 month (mean difference = 0.06, 95%CI: 0.01 to 0.12), 3 months (mean difference = 0.12, 95%CI: 0.08 to 0.16), and 6 months (mean difference = 0.19, 95%CI: 0.09 to 0.29). Subgroup analysis of PLI showed that when all teeth were measured, PLI status was lower in the HR group at 6 months (mean difference = 0.32, 95%CI: 0.18 to 0.46). PLI status was also low for the other teeth group (mean difference = 0.15, 95%CI: 0.08 to 0.22).

CONCLUSION: Our meta-analysis showed that patients using the Hawley retainer had better periodontal health compared with those using vacuum-formed retainers. However, more research is needed to look at the periodontal health of patients using these two retainers.

PMID:34242289 | DOI:10.1371/journal.pone.0253968

PLoS One. 2021 Jul 9;16(7):e0254267. doi: 10.1371/journal.pone.0254267. eCollection 2021.

ABSTRACT

Methylenetetrahydrofolate reductase (MTHFR), a folate-dependent enzyme, is reportedly involved in several cancer types. The MTHFR C677T polymorphism influences many biological processes, including tumorigenesis. However, the association between the MTHFR C677T polymorphism and breast cancer (BC) subtypes is not fully understood. In this study, the MTHFR C677T polymorphism was genotyped in 490 individuals with or without BC from southwestern China. Analysis of the association between the MTHFR C677T polymorphism and BC revealed that there was a significant association between the MTHFR C677T polymorphism and triple-negative breast cancer (TNBC) (OR = 2.83, 95% CI: 1.12-9.51, P = 0.0401). Furthermore, the MTHFR C677T polymorphism can also serve as a protective factor in luminal A breast cancer (OR = 0.57, 95% CI: 0.34-0.94, P = 0.0258). Evaluation of the association between the MTHFR C677T polymorphism and clinical characteristics indicated that people who suffered from hypertension had an increased risk for BC (OR = 2.27; 95% CI: 1.08-4.6; P = 0.0264), especially TNBC (OR = 215.38; 95% CI: 2.45-84430.3; P = 0.0317). Our results suggest that the MTHFR C677T polymorphism is significantly associated with susceptibility to luminal B breast cancer and TNBC.

PMID:34242313 | DOI:10.1371/journal.pone.0254267

PLoS One. 2021 Jul 9;16(7):e0254066. doi: 10.1371/journal.pone.0254066. eCollection 2021.

ABSTRACT

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic continues to be a global threat, with tremendous resources invested into identifying risk factors for severe COVID-19 illness. The objective of this study was to analyze the characteristics and outcomes of male compared to female adults with COVID-19 who required hospitalization within US academic centers.

METHODS: Using the Vizient clinical database, discharge records of adults with a diagnosis of COVID-19 between March 1, 2020 and November 30, 2020 were reviewed. Outcome measures included demographics, characteristics, length of hospital stay, rate of respiratory intubation and mechanical ventilation, and rate of in-hospital mortality of male vs female according to age, race/ethnicity, and presence of preexisting comorbidities.

RESULTS: Among adults with COVID-19, 161,206 were male while 146,804 were female. Adult males with COVID-19 were more likely to have hypertension (62.1% vs 59.6%, p <0.001%), diabetes (39.2% vs 36.0%, p <0.001%), renal failure (22.3% vs 18.1%, p <0.001%), congestive heart failure (15.3% vs 14.6%, p <0.001%), and liver disease (5.9% vs 4.5%, p <0.001%). Adult females with COVID-19 were more likely to be obese (32.3% vs 25.7%, p<0.001) and have chronic pulmonary disease (23.7% vs 18.1%, p <0.001). Gender was significantly different among races (p<0.001), and there was a lower proportion of males versus females in African American patients with COVID-19. Comparison in outcomes of male vs. female adults with COVID-19 is depicted in Table 2. Compared to females, males with COVID-19 had a higher rate of in-hospital mortality (13.8% vs 10.2%, respectively, p <0.001); a higher rate of respiratory intubation (21.4% vs 14.6%, p <0.001); and a longer length of hospital stay (9.5 ± 12.5 days vs. 7.8 ± 9.8 days, p<0.001). In-hospital mortality analyzed according to age groups, race/ethnicity, payers, and presence of preexisting comorbidities consistently showed higher death rate among males compared to females (Table 2). Adult males with COVID-19 were associated with higher odds of mortality compared to their female counterparts across all age groups, with the effect being most pronounced in the 18-30 age group (OR, 3.02 [95% CI, 2.41-3.78]).

CONCLUSION: This large analysis of 308,010 COVID-19 adults hospitalized at US academic centers showed that males have a higher rate of respiratory intubation and longer length of hospital stay compared to females and have a higher death rate even when compared across age groups, race/ethnicity, payers, and comorbidity.

PMID:34242273 | DOI:10.1371/journal.pone.0254066

PLoS One. 2021 Jul 9;16(7):e0254075. doi: 10.1371/journal.pone.0254075. eCollection 2021.

ABSTRACT

BACKGROUND: Undernutrition is responsible for a significant proportion of maternal and child morbidity and mortality. Lactating women are nutritionally vulnerable groups because this period places a high nutritional demand on the mother and leads to nutritional stress. Poor nutrition during lactation has a significant negative consequence to mothers and children’s survival, growth, and development. Therefore this study aimed to assess the nutritional status of lactating mothers and associated factors in pastoral community, Afar region, Ethiopia.

METHODS: A community-based cross-sectional study was conducted from January 5/2020 to February 10/2020, in the Abala district. The data were collected from a sample of 366 lactating mothers whose children aged less than 24 months. Data was collected through face-to-face interviews and anthropometric measurements. Study participants were recruited using a systematic sampling technique. Anthropometric measurements (both body mass index and mid-upper arm circumference) were taken from each mother using calibrated equipment and standardized techniques. Data were entered into Epi-data version 4.2 and exported to SPSS version 22 for analysis. Predictor variables with a P-value < 0.25 at bivariable analysis were candidates for the final model. Statistical significance was declared at P-value of < 0.05 in the multivariable logistic regression.

RESULT: This study showed that 120(32.8%) and 122(33.3%) surveyed mothers were undernourished using a cut-off body mass index <18.5 kg/m2 and mid-upper arm circumference <23 Centimeter, respectively. Lactating mothers who didn’t meet the minimum dietary diversity score were more than five (Adjusted odds ratio (AOR) = 5.103; 95% confidence interval (CI): 2.128, 12.238) times more likely to be undernourished than those who met the minimum dietary diversity score. Mothers with short birth intervals were also more than four (AOR = 4.800; 95% CI: 2.408, 9.567) time more likely to be undernourished.

CONCLUSION: Nearly one-third of lactating mothers were undernourished. Undernutrition among lactating mothers was significantly associated with maternal dietary diversity score and birth interval. Health education on proper and adequate maternal dietary feeding practices, and proper family planning utilization during lactation should be emphasized.

PMID:34242276 | DOI:10.1371/journal.pone.0254075

PLoS One. 2021 Jul 9;16(7):e0253928. doi: 10.1371/journal.pone.0253928. eCollection 2021.

ABSTRACT

PURPOSE: To investigate any associations between cigarette smoking and retinal microvascular changes in diabetic patients without visible retinopathy.

DESIGN: Retrospective, cross-sectional study.

PARTICIPANTS: 1099 eyes from 1099 diabetic patients with no clinical evidence of diabetic retinopathy (DR) were included in this study.

METHODS: Diabetic patients underwent optical coherence tomography angiography (OCTA) scanning at Zuckerberg San Francisco General Hospital and Trauma Center between April 2018 and September 2019. Patient demographic and clinical information was collected. Standard bivariate statistics and multivariate linear regression were performed.

MAIN OUTCOME MEASURES: OCTA parameters included metrics related to the foveal avascular zone (FAZ; area, perimeter, circularity), perfusion density (PD; full, center, inner), and vessel length density (VLD; full, center, inner).

RESULTS: The study population included 750 non-smokers and 349 smokers. FAZ perimeter was the only OCTA parameter that was significantly different between the two groups on uncontrolled analysis (P = 0.033). Multivariate regression analyses revealed significant associations between lower VLD full (β = -0.31, P = 0.048), lower VLD inner (β = -0.35, P = 0.046) and a history of smoking. No significant associations between cigarette smoking and either FAZ or PD were detected.

CONCLUSIONS: Our results suggest that smoking is likely associated with deleterious changes in the retinal microvasculature of patients with a history of diabetes and no visible DR. Based on these findings, diabetic patients with a history of smoking may benefit from higher prioritization in terms of ophthalmic screening.

PMID:34242286 | DOI:10.1371/journal.pone.0253928

J Geriatr Oncol. 2021 Jul 5:S1879-4068(21)00164-8. doi: 10.1016/j.jgo.2021.07.002. Online ahead of print.

ABSTRACT

BACKGROUND: We used real-world and large-scale data to assess the clinical efficacy and safety of pembrolizumab in older patients with advanced urothelial carcinoma (UC).

METHODS: A total of 608 patients who received pembrolizumab for the treatment of chemoresistant UC were retrospectively analyzed. All patients were histologically diagnosed with pure UC. Using propensity score matching (PSM) (ECOG performance status, site of metastasis, hemoglobin level and neutrophil-to-lymphocyte ratio, 1:1 matching), the overall survival (OS) and adverse events (AEs) of patients <75 and ≥75 years old were compared.

RESULTS: The median follow-up (IQR) period was 16.1 (9.9-20.5) months. After PSM, there were 215 patients each in the aged <75 years and aged ≥75-year-old groups. The median OS of all patients was estimated to be 10.4 months (95% confidence interval [CI] = 8.8-12.1). After PSM, the median OS was 7.8 months (95% CI = 5.2-10.4) in the <75-year-old group and 10.4 months (95% CI = 7.3-13.5) in the ≥75-year-old group (P = 0.186). Any-grade AEs were more frequently reported in the ≥75-year-old group in comparison to the age <75-year-old group (55.3% vs. 41.9%, P = 0.007), whereas there was no significant difference between the two groups in the incidence of grade ≥3 AEs (10.2% vs. 12.6%, P = 0.544). The objective response rate, defined as complete remission or a partial response, was 22.8% in the <75-year-old group and 25.1% in the ≥75-year-old group (P = 0.651).

CONCLUSIONS: The present study demonstrates that age does not affect the efficacy and safety of pembrolizumab treatment for advanced chemoresistant UC. Pembrolizumab treatment should not be avoided based on chronological age; however, close monitoring for the development of treatment-related AE should be considered for older patients.

PMID:34238726 | DOI:10.1016/j.jgo.2021.07.002

Lancet Digit Health. 2021 Jul 5:S2589-7500(21)00105-9. doi: 10.1016/S2589-7500(21)00105-9. Online ahead of print.

ABSTRACT

BACKGROUND: As the COVID-19 pandemic continues, national-level surveillance platforms with real-time individual person-level data are required to monitor and predict the epidemiological and clinical profile of COVID-19 and inform public health policy. We aimed to create a national dataset of patient-level data in Scotland to identify temporal trends and COVID-19 risk factors, and to develop a novel statistical prediction model to forecast COVID-19-related deaths and hospitalisations during the second wave.

METHODS: We established a surveillance platform to monitor COVID-19 temporal trends using person-level primary care data (including age, sex, socioeconomic status, urban or rural residence, care home residence, and clinical risk factors) linked to data on SARS-CoV-2 RT-PCR tests, hospitalisations, and deaths for all individuals resident in Scotland who were registered with a general practice on Feb 23, 2020. A Cox proportional hazards model was used to estimate the association between clinical risk groups and time to hospitalisation and death. A survival prediction model derived from data from March 1 to June 23, 2020, was created to forecast hospital admissions and deaths from October to December, 2020. We fitted a generalised additive spline model to daily SARS-CoV-2 cases over the previous 10 weeks and used this to create a 28-day forecast of the number of daily cases. The age and risk group pattern of cases in the previous 3 weeks was then used to select a stratified sample of individuals from our cohort who had not previously tested positive, with future cases in each group sampled from a multinomial distribution. We then used their patient characteristics (including age, sex, comorbidities, and socioeconomic status) to predict their probability of hospitalisation or death.

FINDINGS: Our cohort included 5 384 819 people, representing 98·6% of the entire estimated population residing in Scotland during 2020. Hospitalisation and death among those testing positive for SARS-CoV-2 between March 1 and June 23, 2020, were associated with several patient characteristics, including male sex (hospitalisation hazard ratio [HR] 1·47, 95% CI 1·38-1·57; death HR 1·62, 1·49-1·76) and various comorbidities, with the highest hospitalisation HR found for transplantation (4·53, 1·87-10·98) and the highest death HR for myoneural disease (2·33, 1·46-3·71). For those testing positive, there were decreasing temporal trends in hospitalisation and death rates. The proportion of positive tests among older age groups (>40 years) and those with at-risk comorbidities increased during October, 2020. On Nov 10, 2020, the projected number of hospitalisations for Dec 8, 2020 (28 days later) was 90 per day (95% prediction interval 55-125) and the projected number of deaths was 21 per day (12-29).

INTERPRETATION: The estimated incidence of SARS-CoV-2 infection based on positive tests recorded in this unique data resource has provided forecasts of hospitalisation and death rates for the whole of Scotland. These findings were used by the Scottish Government to inform their response to reduce COVID-19-related morbidity and mortality.

FUNDING: Medical Research Council, National Institute for Health Research Health Technology Assessment Programme, UK Research and Innovation Industrial Strategy Challenge Fund, Health Data Research UK, Scottish Government Director General Health and Social Care.

PMID:34238721 | DOI:10.1016/S2589-7500(21)00105-9

Transfus Apher Sci. 2021 Jul 2:103202. doi: 10.1016/j.transci.2021.103202. Online ahead of print.

ABSTRACT

The clinical importance of viscoelastic testing in patient blood management when performing cardiovascular surgery is increasing. We aimed to examine the effect of a blood transfusion protocol including an assessment of fibrin-based rotational thromboelastometry on transfusion volume, mortality, and bleeding complications in patients undergoing cardiac or thoracic aortic surgery. We retrospectively studied a cohort of 376 consecutive patients who underwent cardiopulmonary bypass before (control group: 150 cardiac and 35 thoracic aortic surgeries) and after (assessment group: 154 cardiac and 37 thoracic aortic surgeries) introducing the fibrin polymerization assessment with thromboelastometry in the blood transfusion protocol. The transfusion volume and clinical outcomes were compared between the control and assessment groups, and the standardized (mean) difference (S[M]D) was calculated as an indicator of statistical effect size. Compared with the control group, the assessment group had a lower total blood transfusion volume (mL) in cardiac (2720 ± 1282 vs. 2034 ± 1330, p < 0.0001, [SMD] = 0.68) and thoracic aortic surgeries (5236 ± 2732 vs. 3714 ± 1768, p < 0.0001, SMD = 0.67). The 1-year mortality rates were 1.9 % and 2.7 % in cardiac and thoracic aortic surgeries, respectively. Significant differences were not observed in the 1-year mortality (3.2 % vs. 1.0 %, p = 0.16, relative risk [RR] = 0.32 with 95 % confidence intervals [CI] = 0.06-1.57, SD = 0.15), re-exploration for bleeding (4.8 % vs. 2.6 %, p = 0.28, RR = 0.53 with 95 % CI = 0.18-1.57, SD = 0.12), and major bleeding (17.3 % vs. 13.0 %, p = 0.31, RR = 0.75 with 95 % CI = 0.46-1.22, SD = 0.12) rates between the control and assessment groups. The assessment of fibrin polymerization with thromboelastometry using the blood transfusion protocol reduced the blood transfusion volume in cardiovascular surgery.

PMID:34238708 | DOI:10.1016/j.transci.2021.103202