Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…A diagnostic model was developed using logistic regression, and its performance was validated using ROC curve analysis. …”
Get full text

Trends and factors associated with adverse pregnancy outcomes in Zimbabwe, 2005 - 2015 by T Chibura, H Twabi, K Maluleke, A Musekiwa

“…Bivariate and multivariable logistic regression models were applied to the 2015 dataset to determine factors associated with adverse pregnancy outcomes. …”
Get full text

Construction of a diagnostic model for chronic mountain sickness among young male migrants to high-altitude areas by ZHANG Quan, CHEN Jian, LIU Bao

“…Independent risk factors for CMS occurrence were screened out， through random forest variable importance ranking， univariate and multivariable logistic regression analysis， and a diagnostic model was constructed based on these factors. …”
Get full text

Risk prediction models for feeding intolerance in patients with enteral nutrition: a systematic review and meta-analysis by Huijiao Chen, Jin Han, Jing Li, Jianhua Xiong, Dong Wang, Mingming Han, Yuehao Shen, Wenli Lu

“…In contrast, the remaining studies used logistic regression to construct FI risk prediction models. …”
Get full text

Determinants of anemia in school-going adolescents: a case study in Douala, Cameroon by Annick Suzanne Mbazoa Mbou, Godfroy Rostant Pokam Djoko, Alice Ketchaji, Sali Aristide Dama, Florence Irita, Verance Carline Kegha Ngodem, Manuela Tchinda Magne, Alex Kevin Tako Djimefo, Joelle Laure Sobngwi

“…Severity was classified as mild, moderate and severe. Multiple logistic regression analysis was performed to identify determinants of anemia, controlling for confounding variables, and associations were established by calculating Odds ratios, Odds ratio adjusts, confidence intervals and P-value. …”
Get full text

Spatial distribution and determinants of children ever born among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini Ethiopian demographic health surv... by Ahmed Fentaw Ahmed, Bezawit Adane, Tilahun Degu Tsega, Mekides Nigusu, Kalaab Esubalew Sharew, Abebaw Molla, Mulugeta Tesfa

“…Multi-level (two-level) logistic regression analysis was used and variables with a P value less than 0.05 were considered statistical significance. …”
Get full text

Factors influencing changes in the quality of life of the Hainan migratory population with hypertension: a survey of the Chengmai mangrove bay community by Qiaochun Chen, Jing Zhou, Na Li, Luming Liu, Yixuan Li, Wenfang Long, Ziyue Luo, Yunru Liu, Sha Xiao

“…Univariate analysis was performed via paired t tests and Kendall’s tau-b tests, and multiple linear regression analysis and logistic regression analysis were used to analyse the factors influencing the QoL of the participants. …”
Get full text

Differentiating Liver Metastases from Primary Liver Cancer: A Retrospective Study of Imaging and Pathological Features in Patients with Histopathological Confirmation by Laura Andreea Ghenciu, Mirela Loredana Grigoras, Luminioara Maria Rosu, Sorin Lucian Bolintineanu, Laurentiu Sima, Octavian Cretu

“…Statistical analyses were performed using chi-squared tests, <i>t</i>-tests, and logistic regression, with a significance level of <i>p</i> < 0.05. …”
Get full text

Pre-exposure Prophylaxis Awareness and Endorsement among Adolescents and Young Adults in Tanzania: Insights from the 2022 Demographic and Health Survey by Alpha Johnson Kapola, Rahma Musoke, Glenda Marie Manayon, Hassan Fredrick Fussi, Hafidha Mhando Bakari, Haji Mbwana Ally, Swalehe Mustafa Salim, Zuhura Mbwana Ally, Lynn Moshi, Mariam Salim Mbwana, Habib Omari Ramadhani

“…Demographic characteristics and HIV testing information were also collected. Logistic regression models were used to assess factors associated with PrEP awareness and endorsement, and the weighted prevalence of these outcomes was calculated. …”
Get full text

Predictors of Unfavorable Outcomes in Patients with Atrial Fibrillation and Concomitant Heart Failure with Different Ejection Fractions: RIF-CHF Register One-Year Follow-Up by Igor Zhirov, Natalia Safronova, Yulia Osmolovskaya, Alina Alshevskaya, Andrey Moskalev, Sergey Tereshchenko

“…Patients with AF + HFpEF had lower risk to achieve the combination point (stroke + IM + CV death) as compared to patients with AF + HFmrEF and AF + HFrEF (12.7% vs. 22% and 25.5%, p<0.001). Regression logistic analysis revealed that factors such as demographic characteristics, disease severity, and administered treatment had different effects on the risk of unfavorable outcomes depending on ejection fraction group. …”
Get full text

Geographic variation in modern contraceptive utilization among women of reproductive age in Mozambique: a multilevel analysis by Habtu Kifle Negash, Destaye Tirite Gelaw, Mihret Getnet, Hiwot Tezera Endale, Tseganesh Asefa, Fethiya Seid Hasen, Yihun Tefera Ayenew, Nebebe Demis Baykemagn, Trualem Zeleke Yehuala, Winta Tesfaye

“…Data analysis was conducted using Stata 17 and ArcGIS 10.7, employing multilevel logistic regression and spatial techniques (Global Moran’s I, Getis-Ord Gi*, interpolation, and SaTScan) to identify patterns and geographic clusters of contraceptive use. …”
Get full text

Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational study. by Guiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne J Gordijn, Kimberley Kavanagh, Paul Murray, Laura A Magee, Henk Groen, Peter von Dadelszen

“…., the PIERS Machine Learning [PIERS-ML] model, and the logistic regression-based fullPIERS model) accurately identify individuals at greatest or least risk of adverse maternal outcomes within 48 h following admission. …”
Get full text

Assessment of post-partum physical exercise practice and its associated factors among women in postpartum period, in West Wollega zone, Oromia, Ethiopia by Tegegne Yadeta, Daniel Belema, Seifedin Ahmad, Nurye Sirage, Abubeker Seid Ali, Kedir Ali, Ali Yimer

“…Descriptive statistics and logistic regression were employed for the analysis. …”
Get full text

The association of visceral and subcutaneous fat areas with phenotypic age in non-elderly adults, mediated by HOMA-IR and HDL-C by Yuanhong Liu, Min Xu, Liqing Wang, Linyun Meng, Mengran Li, Shumin Mu

“…To examine the association between body fat area and PhenoAgeAccel, logistic regression was applied. Additionally, subgroup analysis was used to identify variations in population characteristics. …”
Get full text

The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

“…Antimicrobial susceptibility testing was performed on the included strains, and through univariate logistic regression analysis, 15 key influencing factors were identified, including: age &gt; 62 years, ESBL, CRKP, number of positive sputum cultures for KP, history of tracheostomy, use of mechanical ventilation for &gt;96 h, indwelling gastric tube, history of craniotomy, recent local glucocorticoid application, altered consciousness, bedridden state, diagnosed with respiratory infectious disease upon admission, electrolyte disorder, hypoalbuminemia, and admission to ICU (all p &lt; 0.05). …”
Get full text

单中心1 041例膀胱癌根治尿流改道患者手术疗效和并发症 by 刘振华, 李向东, 刘泽赋, 秦自科, 尧凯, 韩辉, 周芳坚, 刘卓炜

“…本研究采用独立样本<italic>t</italic>检验、卡方检验、线性回归、K-M生存曲线等统计方法描述患者并发症及预后情况，Logistic回归分析RC术后并发症的影响因素。结果在2001-2020年的1 041例行RC术的患者中，中位年龄63（55~69）岁；男性和女性占比分别为86.0%和14.0%。…”
Get full text

Epidemiology, Risk Factors, and Predictors of Disability in a Cohort of Jordanian Patients with the First Ischemic Stroke by Majdi Al Qawasmeh, Belal Aldabbour, Aiman Momani, Deema Obiedat, Kefah Alhayek, Raid Kofahi, Ahmed Yassin, Khalid El-Salem

“…Chi-square and univariate analysis of variance “ANOVA” were used to investigate the relationship between risk factors and type of stroke. Finally, logistic regression analysis was used to measure the contribution of each of the independent variables. …”
Get full text

Treatment outcomes and associated factors among patients with multidrug-resistant tuberculosis in Ashanti Region, Ghana: a retrospective, cross-sectional study by Peter Agyei-Baffour, Victoria Panford, Emmanuel Kumah, Collins Kokuro, Prince Owusu Adoma, Michael Afari Baidoo, Adam Fusheini, Samuel Egyakwa Ankomah, Samuel Kofi Agyei

“…Patients with no record of treatment outcome were excluded from the study.Outcome measures The main outcome variable for the study was MDR-TB treatment outcome, standardised as ‘cured’, ‘treatment completed’, ‘treatment failure’, ‘died’ and ‘lost to follow-up’. A logistic regression model was fitted for factors associated with the outcome measure.Results Out of 159 patients included in the analysis, 86 (54.1%) were declared cured, 28 (17.6%) completed their treatment successfully, 6 (3.8%) were declared treatment failure, 12 (7.5%) were lost to follow-up and 27 (17.0%) died. …”
Get full text

Disproportionate Distribution of HBV Genotypes A and D and the Recombinant Genotype D/E in the High and Low HBV Endemic Regions of Uganda: A Wake-Up Call for Regional Specific HBV... by Hussein Mukasa Kafeero, Dorothy Ndagire, Ponsiano Ocama, Charles Drago Kato, Eddie Wampande, Henry Kajumbula, David Kateete, Abdul Walusansa, Ali Kudamba, Kigozi Edgar, Fred Ashaba Katabazi, Maria Magdalene Namaganda, Jamilu E. Ssenku, Hakim Sendagire

“…Pearson’s chi-square, multinomial logistic regression, and Mann–Whitney U tests were used for the analysis. …”
Get full text

A community-based study to assess the prevalence and predictors of stunting among under-five children in Sheger City, Oromia, Ethiopia by Firomsa Botorie, Bilisom Balcha Abera, Abera Botorie, Abera Botorie, Asonya Abera, Abebe Dukessa Dubiwak, Abebe Dukessa Dubiwak, Tesfaye Getachew Charkos, Godana Arero Dassie

“…Bivariate and multivariable logistic regression analyses were performed to identify candidate variables and associated factors, respectively. …”
Get full text