Tag: statistics

Hosp Top. 2022 Jul 11:1-12. doi: 10.1080/00185868.2022.2097970. Online ahead of print.

ABSTRACT

India experienced a growing burden of elderly population associated with both physical and mental health challenges. Among the mental health problems, dementia, depression, anxiety and sleep disorder are of significant concern. This present study investigates the association between the types of living arrangement and the mental health of elderly in India. Comparison has been done between empty nest and non-empty nest elderlies. Data from first wave of Longitudinal Aging Study in India (2017-18) has been used. It is a nationally representative data which collected data from over 72,000 individuals aged 45 and above and their spouses irrespective of age. We used the Center for Epidemiological Studies Depression Scale (CES-D) to measure depression while living arrangement was self-reported by the respondents. Univariate and multivariate analyses were carried out to find significant association of the outcome and independent variables. Among the total elderlies, 11% were from empty nest single households, 20% were from empty nest couple households and others were from the non-empty households. At national level, 30% elderly suffered from depression. It was more among the elderly of empty nest single households (43%), compared to elderly of empty nest couple households (30%) and non-empty nest households (28%). Gender, socio economic status, self-rated health status, financial stability, place of residence plays a crucial role in the experience of depression among the elderlies. Results portray that household structure, especially living arrangement and familial support in old age can be associated with the overall health and wellbeing, more specifically depressive symptoms among the elderly.

PMID:35816557 | DOI:10.1080/00185868.2022.2097970

PLoS One. 2022 Jul 11;17(7):e0271341. doi: 10.1371/journal.pone.0271341. eCollection 2022.

ABSTRACT

OBJECTIVE: The majority of suicide decedents have had contact with health services close to their death. Some of these contacts include admissions to hospitals for physical and mental health conditions, injury and intentional self-harm. This study aims to establish and quantify the risks of suicide following hospital admission for a range of mental and physical illnesses.

METHODS: A retrospective analysis was carried out on existing morbidity and mortality data in Victoria. Data was extracted from the Victorian Admitted Episodes Dataset and the Victorian Suicide Register. Unplanned hospital admissions among adult patients (> = 15 years of age), discharged between 01 January 2011 and 31 December 2016 (2,430,154 admissions), were selected. Standardised Mortality Ratios were calculated for conditions with at least five linked suicides within one year of discharge from hospital.

RESULTS: Forty-three conditions defined at the three-digit level of the International Statistical Classification of Diseases and Related Health Problems 10th Revision, were associated with at least five subsequent suicides (within one year of hospital discharge); 14 physical illnesses, 5 symptoms, signs and abnormal clinical and laboratory findings, 12 mental health conditions, and 12 types of injury and poisonings. The highest Standardised Mortality Ratios were for poisonings (range; 27.8 to 140.0) and intentional self-harm (78.8), followed by mental health conditions (range; 15.5 to 72.9), symptoms, signs and abnormal clinical and laboratory findings (range; 1.4 to 43.2) and physical illnesses (range; 0.7 to 4.9).

CONCLUSIONS: Hospital admissions related to mental health conditions and injury and poisonings including self-harm were associated with a greater risk of suicide than physical conditions. Mental health conditions such as depressive episodes, personality disorders and psychotic episodes, injuries caused by intentional-self-harm and poisonings by certain types of drugs, carbon monoxide and hormones such as insulin can be prioritised for targeting suicide prevention initiatives for persons discharged from hospitals.

PMID:35816509 | DOI:10.1371/journal.pone.0271341

PLoS Comput Biol. 2022 Jul 11;18(7):e1010284. doi: 10.1371/journal.pcbi.1010284. Online ahead of print.

ABSTRACT

Concerns have been raised about the use of relative abundance data derived from next generation sequencing as a proxy for absolute abundances. For example, in the differential abundance setting, compositional effects in relative abundance data may give rise to spurious differences (false positives) when considered from the absolute perspective. In practice however, relative abundances are often transformed by renormalization strategies intended to compensate for these effects and the scope of the practical problem remains unclear. We used simulated data to explore the consistency of differential abundance calling on renormalized relative abundances versus absolute abundances and find that, while overall consistency is high, with a median sensitivity (true positive rates) of 0.91 and specificity (1-false positive rates) of 0.89, consistency can be much lower where there is widespread change in the abundance of features across conditions. We confirm these findings on a large number of real data sets drawn from 16S metabarcoding, expression array, bulk RNA-seq, and single-cell RNA-seq experiments, where data sets with the greatest change between experimental conditions are also those with the highest false positive rates. Finally, we evaluate the predictive utility of summary features of relative abundance data themselves. Estimates of sparsity and the prevalence of feature-level change in relative abundance data give reasonable predictions of discrepancy in differential abundance calling in simulated data and can provide useful bounds for worst-case outcomes in real data.

PMID:35816553 | DOI:10.1371/journal.pcbi.1010284

PLoS One. 2022 Jul 11;17(7):e0266208. doi: 10.1371/journal.pone.0266208. eCollection 2022.

ABSTRACT

There is a growing interest in developing new molecular markers of heart disease in young dogs affected by myxomatous mitral valve disease. The study aimed to measure 3 circulating microRNAs and their application as potential biomarkers in the plasma of Cavalier King Charles Spaniels with early asymptomatic myxomatous mitral valve disease. The hypothesis is that healthy Cavalier King Charles Spaniels have different microRNA expression profiles than affected dogs in American College of Veterinary Internal Medicine (ACVIM) stage B1. The profiles can differ within the same class among subjects of different ages. This is a prospective cross-sectional study. Thirty-three Cavalier King Charles Spaniels in ACVIM stage B1 were divided into three groups (11 younger than 3 years, 11 older than 3 years and younger than 7 years, and 11 older than 7 years), and 11 healthy (ACVIM stage A) dogs of the same breed were included as the control group. Three circulating microRNAs (miR-1-3p, miR30b-5p, and miR-128-3p) were measured by quantitative real-time PCR using TaqMan® probes. Diagnostic performance was evaluated by calculating the area under the receiver operating curve (AUC). MiR-30b-5p was significantly higher in ACVIM B1 dogs than in ACVIM A subjects, and the area under the receiver operating curve was 0.79. According to the age of dogs, the amount of miR-30b-5p was statistically significantly higher in group B1<3y (2.3 folds, P = 0.034), B1 3-7y (2.2 folds, P = 0.028), and B1>7y (2.7 folds, P = 0.018) than in group A. The area under the receiver operating curves were fair in discriminating between group B1<3y and group A (AUC 0.780), between B1 3-7y and A (AUC 0.78), and good in discriminating between group B1>7y and A (AUC 0.822). Identifying dogs with early asymptomatic myxomatous mitral valve disease through the evaluation of miR-30b-5p represents an intriguing possibility that certainly merits further research. Studies enrolling a larger number of dogs with preclinical stages of myxomatous mitral valve disease are needed to expand further and validate conclusively the preliminary findings from this report.

PMID:35816500 | DOI:10.1371/journal.pone.0266208

PLoS Negl Trop Dis. 2022 Jul 11;16(7):e0010599. doi: 10.1371/journal.pntd.0010599. Online ahead of print.

ABSTRACT

Gambiense human African trypanosomiasis (gHAT) has been targeted for elimination of transmission (EoT) to humans by 2030. Whilst this ambitious goal is rapidly approaching, there remain fundamental questions about the presence of non-human animal transmission cycles and their potential role in slowing progress towards, or even preventing, EoT. In this study we focus on the country with the most gHAT disease burden, the Democratic Republic of Congo (DRC), and use mathematical modelling to assess whether animals may contribute to transmission in specific regions, and if so, how their presence could impact the likelihood and timing of EoT. By fitting two model variants-one with, and one without animal transmission-to the human case data from 2000-2016 we estimate model parameters for 158 endemic health zones of the DRC. We evaluate the statistical support for each model variant in each health zone and infer the contribution of animals to overall transmission and how this could impact predicted time to EoT. We conclude that there are 24/158 health zones where there is substantial to decisive statistical support for some animal transmission. However-even in these regions-we estimate that animals would be extremely unlikely to maintain transmission on their own. Animal transmission could hamper progress towards EoT in some settings, with projections under continuing interventions indicating that the number of health zones expected to achieve EoT by 2030 reduces from 68/158 to 61/158 if animal transmission is included in the model. With supplementary vector control (at a modest 60% tsetse reduction) added to medical screening and treatment interventions, the predicted number of health zones meeting the goal increases to 147/158 for the model including animal transmission. This is due to the impact of vector reduction on transmission to and from all hosts.

PMID:35816487 | DOI:10.1371/journal.pntd.0010599

PLoS Negl Trop Dis. 2022 Jul 11;16(7):e0010563. doi: 10.1371/journal.pntd.0010563. Online ahead of print.

ABSTRACT

BACKGROUND: Great progress has been made toward the elimination of trachoma as a public-health problem. Mathematical and statistical models have been used to forecast when the program will attain the goal of the elimination of active trachoma, defined as prevalence of trachomatous inflammation-follicular in 1-9 year olds (TF1-9) <5%. Here we use program data to create an empirical model predicting the year of attaining global elimination of TF1-9.

METHODOLOGY/PRINCIPAL FINDINGS: We calculated the mean number of years (95% CI) observed for an implementation unit (IU) to move from a baseline TF1-9 prevalence ≥5% to the elimination threshold, based on the region (Ethiopia vs. non-Ethiopia) and baseline prevalence category. Ethiopia IUs had significantly different rates of reaching the TF1-9 elimination threshold after a trachoma impact survey (TIS) compared to non-Ethiopia IUs across all baseline categories. We used those estimates to predict when remaining active trachoma-endemic IUs (TF1-9 ≥5%) would have their last round of mass drug administration (MDA) based on the mean number of years required and number of MDA rounds already completed. Our model predicts that elimination of TF1-9 will be achieved in 2028 in Ethiopia (95% CI: 2026-2033) and 2029 outside of Ethiopia (95% CI: 2023-2034), with some IUs in East Africa predicted to be the last requiring MDA globally.

CONCLUSIONS/SIGNIFICANCE: Our empirical estimate is similar to those resulting from previous susceptible-infectious-susceptible (SIS) and mathematical models, suggesting that the forecast achievement of TF1-9 elimination is realistic with the caveat that although disease elimination progress can be predicted for most IUs, there is an important minority of IUs that is not declining or has not yet started trachoma elimination activities. These IUs represent an important barrier to the timely global elimination of active trachoma.

PMID:35816486 | DOI:10.1371/journal.pntd.0010563

PLoS One. 2022 Jul 11;17(7):e0271039. doi: 10.1371/journal.pone.0271039. eCollection 2022.

ABSTRACT

We apply the new GenomeBits method to uncover underlying genomic features of omicron and delta coronavirus variants. This is a statistical algorithm whose salient feature is to map the nucleotide bases into a finite alternating (±) sum series of distributed terms of binary (0,1) indicators. We show how by this method, distinctive signals can be uncovered out of the intrinsic data organization of amino acid progressions along their base positions. Results reveal a sort of ‘ordered’ (or constant) to ‘disordered’ (or peaked) transition around the coronavirus S-spike protein region. Together with our previous results for past variants of coronavirus: Alpha, Beta, Gamma, Epsilon and Eta, we conclude that the mapping into GenomeBits strands of omicron and delta variants can help to characterize mutant pathogens.

PMID:35816483 | DOI:10.1371/journal.pone.0271039

J Appl Clin Med Phys. 2022 Jul 11:e13724. doi: 10.1002/acm2.13724. Online ahead of print.

ABSTRACT

PURPOSE: The application of point of care ultrasound (PoCUS) in medical education is a relatively new course. There are still great differences in the existence, quantity, provision, and depth of bedside ultrasound education. The left ventricular outflow tract velocity time integral (LVOT-VTI) has been successfully used in several studies as a parameter for hemodynamic management of critically ill patients, especially in the evaluation of fluid responsiveness. While LVOT-VTI has been broadly used, valuable applications using artificial intelligence (AI) in PoCUS is still limited. We aimed to identify the degree of correlation between auto LVOT-VTI and the manual LVOT-VTI acquired by PoCUS trained ICU doctors.

METHODS: Among the 58 ICU doctors who attended PoCUS training from 1 September 2019 to 30 November 2020, 46 ICU doctors who trained for more than 3 months were enrolled. At the end of PoCUS training, each of the enrolled ICU doctors acquired echocardiography parameters of a new ICU patient in 2 h after new patient was admitted. One of the two bedside expert sonographers would take standard echocardiogram of new ICU patients within 24 h. For ICU doctors, manual LVOT-VTI was obtained for reference and auto LVOT-VTI was calculated instantly by using an AI software tool. Based on the image quality of the auto LVOT-VTI, ICU patients was separated into ideal group (n = 31) and average group (n = 15).

RESULTS: Left ventricular end-diastolic dimension (LVEDd, p = 0.1028), left ventricular ejection fraction (LVEF, p = 0.3251), left atrial dimension (LA-d, p = 0.0962), left ventricular E/A ratio (p = 0.160), left ventricular wall motion (p = 0.317) and pericardial effusion (p = 1) had no significant difference between trained ICU doctors and expert sonographer. ICU patients in average group had greater sequential organ failure assessment (SOFA) score (7.33 ± 1.58 vs. 4.09 ± 0.57, p = 0.022) and lactic acid (3.67 ± 0.86 mmol/L vs. 1.46 ± 0.12 mmol/L, p = 0.0009) with greater value of LVEDd (51.93 ± 1.07 vs. 47.57 ± 0.89, p = 0.0053), LA-d (39.06 ± 1.47 vs. 35.22 ± 0.98, p = 0.0334) and percentage of decreased wall motion (p = 0.0166) than ideal group. There were no significant differences of δLVOT-VTI (|manual LVOT-VTI – auto LVOT-VTI|/manual VTI*100%) between the two groups (8.8% ± 1.3% vs. 10% ± 2%, p = 0.6517). Statistically, significant correlations between manual LVOT-VTI and auto LVOT-VTI were present in the ideal group (R² = 0.815, p = 0.00) and average group (R² = 0.741, p = 0.00).

CONCLUSIONS: ICU doctors could achieve the satisfied level of expertise as expert sonographers after 3 months of PoCUS training. Nearly two thirds of the enrolled ICU doctors could obtain the ideal view and one third of them could acquire the average view. ICU patients with higher SOFA scores and lactic acid were less likely to acquire the ideal view. Manual and auto LVOT-VTI had statistically significant agreement in both ideal and average groups. Auto LVOT-VTI in ideal view was more relevant with the manual LVOT-VTI than the average view. AI might provide real-time guidance among novice operators who lack expertise to acquire the ideal standard view.

PMID:35816461 | DOI:10.1002/acm2.13724

Vet Med Sci. 2022 Jul 11. doi: 10.1002/vms3.831. Online ahead of print.

ABSTRACT

BACKGROUND: Bovine genital campylobacteriosis (BGC) is a venereal disease caused by Campylobacter fetus that has a negative impact on animal reproduction. The bull is considered to be a symptomless carrier that spreads the disease agent to breeding cows, causing infertility and sporadic abortion.

AIM: The study aims to estimate the prevalence, identify risk factors of Campylobacter fetus (C. fetus) infection and antimicrobial resistance pattern of the C. fetus isolates.

METHOD: A cross-sectional survey was conducted in Mymensingh district of Bangladesh. Bull smegma samples (single sample from each bull) were collected from 300 bulls from four farms and tested via culture, biochemical identification and finally 16S rRNA and cdtA gene-based molecular assays (PCR) for herd and animal-level prevalence estimation. Herd- and animal-level data on risk factors were collected from the farmers using a pretested questionnaire and analysed by univariable and multivariable logistic regression models with a p value of <0.05 was taken statistically significant for both analyses.

RESULTS: Among the surveyed farms, 75% (95% CI: 19.4%-99.4%) were confirmed to have bulls infected with Campylobacter fetus at herd level. However, animal-level occurrence of C. fetus was estimated to be 8.7% (26/300) (95% CI: 5.7%-12.4%). Natural service increases the odds of campylobacteriosis 38.18 times (95% CI: 13.89-104.94) in comparison to artificial insemination for C. fetus infection in bulls. Significantly, half of the isolates (50%, n = 13) were identified to be multidrug resistant (MDR) for three to five antimicrobial agents.

CONCLUSION: This study highlights the need to develop official guidelines for C. fetus control and prevention in Bangladesh including mandatory artificial insemination in reproductive cows and heifers, routine screening of breeding bulls for C. fetus free status.

PMID:35816455 | DOI:10.1002/vms3.831

Artif Organs. 2022 Jul 11. doi: 10.1111/aor.14353. Online ahead of print.

ABSTRACT

Retrospective healthcare databases are emerging sources for clinical research. However, there has been no standardized checklist to ensure the accurate acquisition and reporting of this data. We consulted experts, statisticians and searched for digital databases to develop a comprehensive checklist with a focus on the issues specific to studies performed on retrospective databases. The ChARDS (Checklist for Administrative and Research Databases related Studies) was developed that consists of 8 sections, 19 sub-sections, and 57 questions. The major areas covered by the ChARDS include providing information on the data sources and guiding writing by simulating the headings of a manuscript. The ChARDS is designed to question authors on the need for the study, the relevance of the topic in light of prior literature, research design, selection of the sample, eligibility of participants, standardization of outcomes, appropriateness of statistical models, interpretation of data, resource valuation, reliability and reproducibility of results, and validity and generalization of key findings to the general population. The ChARDS intends to provide authors with a roadmap on the structured reporting of data and enable decision-makers to evaluate its suitability for publication.

PMID:35816376 | DOI:10.1111/aor.14353