Category: Statistics

J Multidiscip Healthc. 2023 Jun 7;16:1577-1586. doi: 10.2147/JMDH.S409810. eCollection 2023.

ABSTRACT

BACKGROUND: Tuberculosis-Diabetes mellitus (TB-DM) co-morbidity is a growing scourge in the world. The new approaches and interventions for TB control implemented by the Tuberculosis National Control Program (TNCP) in DRC require the involvement of health care providers for their success.

OBJECTIVE: The objective of this study is to assess the knowledge of health care provider on different aspects of the management of TB-DM co-morbidity and to compare this knowledge according to the health care system, the type of providers and the number of years of experience.

METHODS: Cross-sectional and analytic study was conducted in 11 health care facilities in the Lubumbashi Health District, selected by reasoned choice, and an electronic questionnaire was administered to health care providers. These providers were interviewed on the different aspects of the management of the TB-DM comorbidity. The data were presented and compared in relation to knowledge about TB, DM, and TB-DM comorbidity.

RESULTS: A total of 113 providers were interviewed, predominantly males and physicians. Questions related to knowledge about DM were better answered. Doctors compared to paramedics; tertiary-level providers compared to secondary-level providers had better responses to the different questions. There is a statistically significant correlation between the level of knowledge of TB, DM and the type of health care provider, the number of years of experience.

CONCLUSION: The present study shows that there are gaps in the knowledge of our health care providers and community members on the recommendations of the DRC TB guidelines (Programme AntiTuberculeux Intégré 5: PATI 5) in general and on the management of TB-DM. It is therefore important and necessary to put in place strategies to improve this level of knowledge, which will focus on the extension of the guidelines, the awareness and the training of the stakeholders involved in the control.

PMID:37309538 | PMC:PMC10257909 | DOI:10.2147/JMDH.S409810

J Multidiscip Healthc. 2023 Jun 7;16:1565-1576. doi: 10.2147/JMDH.S403756. eCollection 2023.

ABSTRACT

BACKGROUND AND OBJECTIVES: The operating room (OR) is considered the highest source of cost and earnings. Therefore, measuring OR efficiency, which means how time and resources are allocated precisely for their intended purposes in the operating room is crucial. Both overestimation and underestimation negatively impact OR efficiency Therefore, hospitals defined metrics to Measuring OR Effeciency. Many studies have discussed OR efficiency and how surgery scheduling accuracy plays a vital role in increasing OR efficiency. This study aims to evaluate OR efficiency using surgery duration accuracy.

METHODS: This retrospective, quantitative study was conducted at King Abdulaziz Medical City. We extracted data on 97,397 surgeries from 2017 to 2021 from the OR database. The accuracy of surgery duration was identified by calculating the duration of each surgery in minutes by subtracting the time of leaving the OR from the time of entering the OR. Based on the scheduled duration, the calculated durations were categorized as either underestimation or overestimation. Descriptive and bivariate analyses (Chi-square test) were performed using the Statistical Package for the Social Sciences (SPSS) software.

RESULTS: Sixty percent out of the 97,397 surgeries performed were overestimated compared to the time scheduled by the surgeons. Patient characteristics, surgical division, and anesthesia type showed statistically significant differences (p <0.05) in their OR estimation.

CONCLUSION: Significant proportion of procedures have overestimated. This finding provides insight into the need for improvement.

RECOMMENDATIONS: It is recommended to enhance the surgical scheduling method using machine learning (ML) models to include patient characteristics, department, anesthesia type, and even the performing surgeon increases the accuracy of duration estimation. Then, evaluate the performance of an ML model in future studies.

PMID:37309537 | PMC:PMC10257906 | DOI:10.2147/JMDH.S403756

Mol Breed. 2022 Apr 18;42(5):26. doi: 10.1007/s11032-022-01294-9. eCollection 2022 May.

ABSTRACT

Global climate change leads to the concurrence of a number of abiotic stresses including moisture stress (drought, waterlogging), temperature stress (heat, cold), and salinity stress, which are the major factors affecting maize production. To develop abiotic stress tolerance in maize, many quantitative trait loci (QTL) have been identified, but very few of them have been utilized successfully in breeding programs. In this context, the meta-QTL analysis of the reported QTL will enable the identification of stable/real QTL which will pave a reliable way to introgress these QTL into elite cultivars through marker-assisted selection. In this study, a total of 542 QTL were summarized from 33 published studies for tolerance to different abiotic stresses in maize to conduct meta-QTL analysis using BiomercatorV4.2.3. Among those, only 244 major QTL with more than 10% phenotypic variance were preferably utilised to carry out meta-QTL analysis. In total, 32 meta-QTL possessing 1907 candidate genes were detected for different abiotic stresses over diverse genetic and environmental backgrounds. The MQTL2.1, 5.1, 5.2, 5.6, 7.1, 9.1, and 9.2 control different stress-related traits for combined abiotic stress tolerance. The candidate genes for important transcription factor families such as ERF, MYB, bZIP, bHLH, NAC, LRR, ZF, MAPK, HSP, peroxidase, and WRKY have been detected for different stress tolerances. The identified meta-QTL are valuable for future climate-resilient maize breeding programs and functional validation of candidate genes studies, which will help to deepen our understanding of the complexity of these abiotic stresses.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-022-01294-9.

PMID:37309532 | PMC:PMC10248626 | DOI:10.1007/s11032-022-01294-9

Mol Breed. 2022 May 27;42(5):28. doi: 10.1007/s11032-022-01299-4. eCollection 2022 May.

ABSTRACT

Currently, the power of QTL mapping is mainly dependent on the quality of phenotypic data in a given population, regardless of the statistical method, as the quality of genotypic data is easily guaranteed in the laboratory. Increasing the sample size per line used for phenotyping is a good way to improve the quality of phenotypic data. However, accommodating a large-scale mapping population takes a large area of rice field, which frequently results in high costs and extra environmental noises. To acquire a reasonable small sample size without a penalty in mapping power, we conducted three experiments with a 4-way MAGIC population and measured phenotypes of 5, 10, and 20 plants per RIL. Three traits including heading date, plant height, and tillers per plant were focused. With SNP- and bin-based QTL mapping, 3 major and 3 minor QTLs for heading date with high heritability and 2 major QTLs for plant height with moderate heritability were commonly detected across the three experiments, but no QTL for tillers per plant with low heritability were commonly identified. In addition, bin-based QTL mapping was more powerful than SNP-based mapping and able to rank the genetic effects of parental alleles. Thus, 5 plants per RIL for phenotyping ensure the power of QTL mapping for traits of high or moderate heritability, and bin-based QTL mapping is recommended for multiparent populations.

PMID:37309531 | PMC:PMC10248629 | DOI:10.1007/s11032-022-01299-4

J Am Stat Assoc. 2023;118(542):898-912. doi: 10.1080/01621459.2021.1957900. Epub 2021 Aug 20.

ABSTRACT

With the availability of high dimensional genetic biomarkers, it is of interest to identify heterogeneous effects of these predictors on patients’ survival, along with proper statistical inference. Censored quantile regression has emerged as a powerful tool for detecting heterogeneous effects of covariates on survival outcomes. To our knowledge, there is little work available to draw inference on the effects of high dimensional predictors for censored quantile regression. This paper proposes a novel procedure to draw inference on all predictors within the framework of global censored quantile regression, which investigates covariate-response associations over an interval of quantile levels, instead of a few discrete values. The proposed estimator combines a sequence of low dimensional model estimates that are based on multi-sample splittings and variable selection. We show that, under some regularity conditions, the estimator is consistent and asymptotically follows a Gaussian process indexed by the quantile level. Simulation studies indicate that our procedure can properly quantify the uncertainty of the estimates in high dimensional settings. We apply our method to analyze the heterogeneous effects of SNPs residing in lung cancer pathways on patients’ survival, using the Boston Lung Cancer Survivor Cohort, a cancer epidemiology study on the molecular mechanism of lung cancer.

PMID:37309513 | PMC:PMC10259833 | DOI:10.1080/01621459.2021.1957900

J Am Assoc Lab Anim Sci. 2023 Jun 12. doi: 10.30802/AALAS-JAALAS-22-000112. Online ahead of print.

ABSTRACT

Euthanasia is frequently performed in amphibians, but techniques are currently limited in number and variable in effectiveness. The current study examined the use of potassium chloride (KCl) for euthanasia of anesthetized African clawed frogs (Xenopus laevis). Twenty adult, female African clawed frogs were anesthetized by immersion in buffered tricaine methanesulfonate (MS-222) for 5 min beyond loss of righting reflex. Frogs were then randomly assigned to receive one of 4 treatments: KCl via intracardiac injection (10 mEq/kg; IC, n = 5), intracoelomic injection (100 mEq/kg; ICe, n = 5), immersion (4,500 mEq/L; IMS, n = 5), or no treatment (C, n = 5). After treatment, serial heart rate was measured via Doppler device until either the loss of Doppler sounds, a 60 min endpoint (IC, ICe, IMS), or recovery (C). Times to loss of righting reflex, loss of Doppler sounds, and/or recovery were recorded. Plasma potassium concentrations were measured immediately after Doppler sound cessation in frogs in IC (n = 1), ICe (n = 2), and IMS (n = 5). Injection failure occurred in 1 IC frog, and 1 ICe frog regained spontaneous movement 4 min after treatment administration. Data from these 2 frogs were not included in statistical analysis. Doppler sound cessation occurred in 4 of 4, 4 of 4, 0 of 5, and 0 of 5 frogs in IC, ICe, IMS, and C, respectively. Median (range) times to Doppler sound cessation in IC and ICe were 6 (0 to 16) s and 18 (10 to 25) min, respectively. Plasma potassium concentration was greater than 9.0 mmol/L in sampled frogs. Intracardiac KCl at 10 mEq/kg and intracoelomic KCl at 100 mEq/kg were effective for euthanasia of anesthetized African clawed frogs. Return to MS-222 solution after KCl administration may be warranted to prevent unintended, premature anesthetic recovery prior to death.

PMID:37308282 | DOI:10.30802/AALAS-JAALAS-22-000112

BMJ Open. 2023 Jun 12;13(6):e068938. doi: 10.1136/bmjopen-2022-068938.

ABSTRACT

OBJECTIVES: To validate the diagnoses of acute myocardial infarction (AMI) and stroke recorded in electronic medical records (EMR) and to estimate the population prevalence of both diseases in people aged ≥18 years.

DESIGN: Cross-sectional validation study.

SETTING: 45 primary care centres.

PARTICIPANTS: Simple random sampling of diagnoses of AMI and stroke (International Classification of Primary Care-2 codes K75 and K90, respectively) registered by 55 physicians and random age-matched and sex-matched sampling of the records that included in primary care EMRs in Madrid (Spain).

PRIMARY AND SECONDARY OUTCOME MEASURES: Sensitivity, specificity, positive and negative predictive values and overall agreement were calculated using the kappa statistic. Applied gold standards were ECGs, brain imaging studies, hospital discharge reports, cardiology reports and neurology reports. In the case of AMI, the ESC/ACCF/AHA/WHF Expert Consensus Document was also used. Secondary outcomes were the estimated prevalence of both diseases considering the sensitivity and specificity obtained (true prevalence).

RESULTS: The sensitivity of a diagnosis of AMI was 98.11% (95% CI, 96.29 to 99.03), and the specificity was 97.42% (95% CI, 95.44 to 98.55). The sensitivity of a diagnosis of stroke was 97.56% (95% CI, 95.56 to 98.68), and the specificity was 94.51% (95% CI, 91.96 to 96.28). No differences in the results were found after stratification by age and sex (both diseases). The prevalence of AMI and stroke was 1.38% and 1.27%, respectively.

CONCLUSION: The validation results show that diagnoses of AMI and stroke in primary care EMRs constitute a helpful tool in epidemiological studies. The prevalence of AMI and stroke was lower than 2% in the population aged over 18 years.

PMID:37308273 | DOI:10.1136/bmjopen-2022-068938

BMJ Open. 2023 Jun 12;13(6):e066734. doi: 10.1136/bmjopen-2022-066734.

ABSTRACT

OBJECTIVES: Presenting outcomes of patients hospitalised for COVID-19 should be put in context and comparison with other facilities. However, varied methodology applied in published studies can impede or even hinder a reliable comparison. The aim of this study is to share our experience in pandemic management and highlight previously under-reported factors affecting mortality. We present outcomes of COVID-19 treatment in our facility that will allow for an intercentre comparison. We use simple statistical parameters-case fatality ratio (CFR) and length of stay (LOS).

SETTING: Large clinical hospital in northern Poland serving over 120 000 patients annually.

PARTICIPANTS: Data were collected from patients hospitalised in COVID-19 general and intensive care unit (ICU) isolation wards from November 2020 to June 2021. The sample consisted of 640 patients-250 (39.1 %) were women and 390 (60.9 %) were men, with a median age of 69 (IQR 59-78) years.

RESULTS: Values of LOS and CFR were calculated and analysed. Overall CFR for the analysed period was 24.8%, varying from 15.9 % during second quarter 2021 to 34.1% during fourth quarter 2020. The CFR was 23.2% in the general ward and 70.7% in the ICU. All ICU patients required intubation and mechanical ventilation, and 44 (75.9 %) of them developed acute respiratory distress syndrome. The average LOS was 12.6 (±7.5) days.

CONCLUSIONS: We highlighted the importance of some of the under-reported factors affecting CFR, LOS and thus, mortality. For further multicentre analysis, we recommend broad analysis of factors affecting mortality in COVID-19 using simple and transparent statistical and clinical parameters.

PMID:37308272 | DOI:10.1136/bmjopen-2022-066734

BMJ Open. 2023 Jun 12;13(6):e073283. doi: 10.1136/bmjopen-2023-073283.

ABSTRACT

OBJECTIVES: To provide an overview of the methodological considerations for conducting commercial smartphone health app reviews (mHealth reviews), with the aim of systematising the process and supporting high-quality evaluations of mHealth apps.

DESIGN: Synthesis of our research team’s experiences of conducting and publishing various reviews of mHealth apps available on app stores and hand-searching the top medical informatics journals (eg, The Lancet Digital Health, npj Digital Medicine, Journal of Biomedical Informatics and the Journal of the American Medical Informatics Association) over the last five years (2018-2022) to identify other app reviews to contribute to the discussion of this method and supporting framework for developing a research (review) question and determining the eligibility criteria.

RESULTS: We present seven steps to support rigour in conducting reviews of health apps available on the app market: (1) writing a research question or aims, (2) conducting scoping searches and developing the protocol, (3) determining the eligibility criteria using the TECH framework, (4) conducting the final search and screening of health apps, (5) data extraction, (6) quality, functionality and other assessments and (7) analysis and synthesis of findings. We introduce the novel TECH approach to developing review questions and the eligibility criteria, which considers the Target user, Evaluation focus, Connectedness and the Health domain. Patient and public involvement and engagement opportunities are acknowledged, including co-developing the protocol and undertaking quality or usability assessments.

CONCLUSION: Commercial mHealth app reviews can provide important insights into the health app market, including the availability of apps and their quality and functionality. We have outlined seven key steps for conducting rigorous health app reviews in addition to the TECH acronym, which can support researchers in writing research questions and determining the eligibility criteria. Future work will include a collaborative effort to develop reporting guidelines and a quality appraisal tool to ensure transparency and quality in systematic app reviews.

PMID:37308269 | DOI:10.1136/bmjopen-2023-073283

BMJ Open. 2023 Jun 12;13(6):e070480. doi: 10.1136/bmjopen-2022-070480.

ABSTRACT

OBJECTIVES: The objectives of this study are to identify the trend of undernutrition risk among under-five children (U5C) in Bangladesh and the trend of its correlates.

DESIGN: Multiple cross-sectional data sets from different time points were used.

SETTING: Nationally representative Bangladesh Demographic and Health Surveys (BDHSs) were conducted in 2007, 2011, 2014 and 2017/2018.

PARTICIPANTS: In the BDHSs, the sample sizes for ever-married women (age: 15-49 years) were 5300 in 2007, 7647 in 2011, 6965 in 2014 and 7902 in 2017/2018.

OUTCOMES: Extant indicators of undernutrition (stunted, wasted and underweight) have been considered as the outcome variables.

MATERIALS AND METHODS: Descriptive statistics, bivariate analysis and factor loadings from factor analysis have been used to determine the prevalence of undernutrition over the years and find the trend of risk and its correlates.

RESULTS: Risks of stunting among the U5C were 41.70%, 40.67%, 36.57% and 31.14%; that of wasting were 16.94%, 15.48%, 14.43% and 8.44%; and that of underweight were 39.79%, 35.80%, 32.45% and 22.46% in 2007, 2011, 2014 and 2017/2018, respectively. From the factor analysis, it has been found that the top five potential correlates of undernutrition are the wealth index, the education of the father and mother, the frequency of antenatal visits during pregnancy, the father’s occupation and/or the type of place of residence in the last four consecutive surveys.

CONCLUSION: This study helps us gain a better understanding of the impact of the top correlates on child undernutrition. To accelerate the reduction of child undernutrition more by 2030, Government and non-government organisations should focus on improving education and household income-generating activities among poor households and raising awareness among women about the importance of receiving antenatal care during pregnancy.

PMID:37308267 | DOI:10.1136/bmjopen-2022-070480