Inappropriate medication prescribing, polypharmacy, potential drug-drug interactions and medication regimen complexity in older adults attending three referral hospitals in Asmara,... by Nuru Abdu, Saleh Idrisnur, Hanae Said, Lude Kifle, Natnael Habte, Semira Ghirmai, Tomas Tewelde, Senai Mihreteab Siele, Eyasu H. Tesfamariam

“…Descriptive statistics, logistic regression, Pearson’s correlation coefficient, independent samples t-test, one-way Analysis of Variance, and paired t-test were employed using IBM SPSS (version-26.0). …”
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Immune-related adverse events with PD-1/PD-L1 inhibitors: insights from a real-world cohort of 2523 patients by Ting Yan, Minghui Long, Chaoyi Liu, Jiwen Zhang, Jiwen Zhang, Xingyu Wei, Xingyu Wei, Fei Li, Fei Li, Dehua Liao

“…Chi-square tests were employed to evaluate differences in baseline characteristics and efficacy outcomes between the irAEs and non-irAEs groups, as well as between the multiple and single irAE groups. Additionally, logistic regression analysis was utilized to identify risk factors linked to irAEs.ResultsAmong 2523 eligible patients, 1096 reported 1802 irAEs, with an incidence incidence of 43.4%. …”
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Hepatitis B and C Viruses’ Infection and Associated Factors among Pregnant Women Attending Antenatal Care in Hospitals in the Amhara National Regional State, Ethiopia by Mulat Dagnew, Yihenew Million, Mucheye Gizachew, Setegn Eshetie, Gashaw Yitayew, Lakachew Asrade, Mulat Adefris, Feleke Moges, Moges Tiruneh

“…SPSS version 20 was used for data analysis, and a multivariable logistic regression analysis was used to assess the relationship between factors associated with hepatitis B virus and hepatitis virus C infection. …”
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Analysis of postoperative atrial fibrillation and its associated factors in Morrow procedures with cardiopulmonary bypass by Zhibin Hu, Wenshuai Mao, Lijun Guo, Zhiwei Liu, Xujie Hu, Yong Cui

“…The results of the multivariate logistic regression analysis indicated that the occurrence of POAF was independently associated with age (OR = 1.047, 95% CI: 1.015–1.080), ΔSII(OR = 13.317, 95% CI: 3.103–57.154) and UFTCA(OR = 0.054, 95% CI: 0.006–0.493) (p < 0.05). …”
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Preoperative ultrasound risk factors for peripartum hysterectomy among PAS suspected pregnancies by Lulu Wang, Tianjiao Liu, Yang Yang, Yalan Li, Li Xiao, Xin Li, Sumei Wei

“…Sociodemographic, obstetric, and clinical characteristics were compared between the groups. Multivariate logistic regression analysis was performed on the characteristics with statistical significance to explore risk factors for peripartum hysterectomy. …”
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Associations of dietary choline intake and kidney function with hyperuricemia in Chinese children and adolescents: a cross-sectional studyResearch in context by Chengping Li, Jing Li, Zhiquan Diao, Lianhong Chen, Siwen Yu, Lianlong Yu, Qianrang Zhu, Xiaomei Dong, Yiya Liu, Tao Liu, Dan Liu

“…The associations between choline intake and HUA were analysed using weighted logistic regression models, restricted cubic spline models, and linear regression models. …”
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Disturbances of visual perception in non-demented patients with Parkinson’s disease by R. Timofejavaitė, V. Vilda, A. Liveikienė, R. Kaladytė-Lokominienė

“…ROC analysis revealed the highest sensitivity and specificity in visual hallucinations of MoCA score (AUC=0.694; p=0.005), HAD anxiety subscore (AUC=0.697; p=0.013), and UPDRS Activities of Daily Living (ADL) subscore (AUC=0.704; p=0.030). The logistic regression did not reveal significant relations between disturbances of visual perception and age, PD duration and stage, HAD depression subscore, LED, UPDRS total, motor and complications scores, motor lateralisaton, impaired colour discrimination, contrast sensitivity, eye pressure, and visual acuity. …”
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Gender differences in associations between obesity and hypertension, diabetes, dyslipidemia: evidence from electronic health records of 3.5 million Chinese senior population by Xuewen Jiang, Yanrong Zhao, Qing Yang, Wei Wang, Tianxiang Lin, Yinwei Qiu

“…Sociodemographic characteristics, behavioral lifestyle, physical data, and biochemical indices were included in the research. Multivariate logistic regression models and restricted cubic spline models were used to explore associations between obesity and diseases. …”
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Prevalence and Related Risk Factors of Intestinal Parasitosis among Private School-Going Pupils of Dharan Submetropolitan City, Nepal by Bijay Kumar Shrestha, Manita Tumbahangphe, Jenish Shakya, Anu Rai, Kabita Dhakal, Bidhya Dhungana, Romika Shrestha, Jyoti Limbu, Kabiraj Khadka, Santoshi Ghimire, Sujata Chauhan, Lata Chalise, Ashu Ghimire

“…According to binary and multivariate logistic regression analyses, the parents without awareness, pupils with a nail-biting habit, pupils not wearing shoes during play, lack of deworming, drinking direct tap water, and pupils with poor hand sanitation were more likely to be infested with intestinal parasitic infections. …”
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Exploring socio-economic inequalities in mental healthcare utilization in adults with self-reported psychological distress: a survey-registry linked cohort design by J. J. Muwonge, C. Dalman, B. Burström, B. Jablonska, A-C. Hollander

“…Information on their MHC use and SEP indicators, education, and household income, were sourced from administrative registries. Logistic and negative binomial regression analyses were used to estimate inequalities in gained MHC access and frequency of outpatient visits, with psychological distress as a moderating variable. …”
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Improving the adoption of a school-based nutrition program: findings from a collaborative network of randomised trials by Courtney Barnes, Rachel Sutherland, Lisa Janssen, Jannah Jones, Katie Robertson, Justine Gowland-Ella, Nicola Kerr, Aimee Mitchell, Karen Gillham, Alison L. Brown, Luke Wolfenden

“…The primary outcome was school adoption of SWAP IT, objectively measured via electronic registration records. Logistic regression analyses were used to assess school adoption of SWAP IT for each trial. …”
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Role of PI3K/AKT/mTOR signaling pathway and sirtuin genes in chronic obstructive pulmonary disease development by G. F. Korytina, L. Z. Akhmadishina, V. A. Markelov, Y. G. Aznabaeva, O. V. Kochetova, T. R. Nasibullin, A. P. Larkina, N. N. Khusnutdinova, N. Sh. Zagidullin, T. V. Victorova

“…SNPs of SIRT1 (rs3758391, rs3818292), SIRT3 (rs3782116, rs536715), SIRT6 (rs107251), AKT1 (rs2494732), PIK3R1 (rs10515070, rs831125, rs3730089), MTOR (rs2295080, rs2536), PTEN (rs701848, rs2735343) genes were genotyped by real-time polymerase chain reaction (PCR) among 1245 case and control samples. Logistic regression was used to detect the association of SNPs in different models. …”
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Do doctors in dispensing practices with a financial conflict of interest prescribe more expensive drugs? A cross-sectional analysis of English primary care prescribing data by Ben Goldacre, Carl Reynolds, Anna Powell-Smith, Alex J Walker, Tom A Yates, Richard Croker, Liam Smeeth

“…Data were obtained prescribing of statins, proton pump inhibitors (PPIs), angiotensin receptor blockers (ARBs) and ACE inhibitors (ACEis). Logistic regression was used to calculate ORs for prescribing high-cost options in dispensing practices, adjusting for Index of Multiple Deprivation score, practice list size and the number of doctors at each practice.Setting English primary care.Participants All general practices in England.Main outcome measures Mean cost per dose was calculated separately for dispensing and non-dispensing practices. …”
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Maternal exposure to ambient temperature and risk of preterm birth in Chengdu, China, from 2017 to 2020: a cohort study by Qiqi Huang, Xiong-Fei Pan, Shijiao Yan, Zhonghan Sun, Yuwei Lai, Yixiang Ye, Jiaying Yuan, Chuanzhu Lv, Rixing Wang, Xingyue Song

“…The effect of environmental temperature on PTB during different exposure windows was assessed using the logistic regression based on the percentile of the mean temperature in different exposure cycles. …”
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The fibrosis-4 index and its association with carotid atherosclerosis in type 2 diabetes: a cross-sectional study in China by Ying Miao, Yu Wang, Qin Wan, Nanwei Tong

“…Subsequently, patients were divided into three groups according to Fib-4 values (Fib-4 < 1.3, 1.3 ≤ Fib-4 < 2.67, Fib-4 ≥ 2.67). Logistic regression analysis was then applied to evaluate the association between Fib-4 and the presence of CA in type 2 diabetes. …”
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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

“…., age, sex, NIHSS score, medical history) to establish various models for predicting HT-ACI through multivariable logistic regression analysis. The predictive performance of the models was compared using DeLong curves, clinical net benefit was assessed using decision curves, and model predictions were validated using the XGboost algorithm. …”
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Hospital and physician-based mental healthcare during 12 months of opioid agonist treatment for opioid use disorder: Exploring costs and factors associated with acute care. by Tea Rosic, Glenda Babe, Myanca Rodrigues, Brittany B Dennis, Richard Perez, Claire de Oliveira, Andrew Worster, Lehana Thabane, Zainab Samaan

“…Outpatient mental health visits to primary care providers and psychiatrists were ascertained by examining the diagnostic codes of physician billing claims. We used logistic regression to explore the association between demographic and clinical factors of interest and mental health-related ED visits or hospitalizations. …”
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Circulating Isthmin-1 Levels and Their Relationship with Diabetes and Metabolic Diseases in Kuwaiti Adults by Eman Alshawaf, Sulaiman K. Marafie, Mohamed Abu-Farha, Ahmed N. Albatineh, Tahani Alramah, Aldana Albuhairi, Yafa Al Qassar, Reem Zinoun, Rawan Shalabi, Sarah Behbehani, Dalal Mohammed, Fahad Alajmi, Mohammed A. Abdalla, Ebaa Al-Ozairi, Mohammad Shehab, Muhammad Abdul-Ghani, Fahd Al-Mulla, Jehad Abubaker

“…Additionally, individuals with higher CAP scores demonstrated significantly lower Ism1 levels, and the Spearman’s rank correlation revealed a negative association between Ism1 and both CAP scores (r = −0.109, <i>p</i>-value = 0.025) and insulin resistance (r = −0.141, <i>p</i>-value = 0.004). Logistic regression analysis further supported Ism1 as an independent significant protective factor against obesity-related metabolic dysfunction. …”
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Association between interpregnancy interval and adverse perinatal outcomes according to maternal age in the context of China’s two-child policy by SiQin Xiu, Li Tang, Chengjie Qin, Di Tian, Yuhong Chen, Lingling Gu, Liu Yang, Yuhao Sun, Xinghui Liu, Yonghong Lin, Yumei Wang

“…Their relationships with clinical characteristics and pregnancy outcomes were analyzed using chi-square tests and Cochran-Armitage test for trend. Logistic regression modeling, incorporating restricted cubic spline (RCS), was used to assess association between IPI and adverse perinatal outcomes, including full-term low birthweight (LBW), preterm birth (PTB), small-for-gestational age (SGA) and adverse neonatal composite (very low birthweight, very preterm birth, severe neonatal asphyxia or death). …”
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Comparative end-of-life communication and support in hospitalised decedents before and during the COVID-19 pandemic: a retrospective regional cohort study in Ottawa, Canada by Shirley H Bush, Monisha Kabir, Peter Lawlor, James Downar, Brandi Vanderspank-Wright, Sarina Isenberg, Peter Tanuseputro, Akshai Iyengar, Claire Dyason, Julie Lapenskie, Colleen Webber, Henrique Parsons, Samantha Rose Adeli, Ella Besserer, Leila Cohen, Valérie Gratton, Rebekah Murphy, Grace Warmels, Adrianna Bruni, Chelsea Noel, Brandon Heidinger, Koby Anderson, Kyle Arsenault-Mehta, Krista Wooller, Daniel Bedard, Paula Enright, Isabelle Desjardins, Khadija Bhimji

“…Pre-COVID and COVID-ve groups were matched 2:1 (age, sex and care service) with the COVID+ve group.Setting One quaternary and two tertiary adult, acute care hospitals in Ottawa, Canada.Participants Decedents (n=425): COVID+ve (n=85), COVID-ve (n=170) and pre-COVID (n=170).Main outcome measures End-of-life (last 48 hours) in-person family presence and virtual (video) patient–family communication, and end-of-life (last 5 days) virtual team–family communication encounter occurrences were examined using logistic regression with ORs and 95% CIs. End-of-life (last 5 days) rates of in-person and telephone team–family communication encounters were examined using mixed-effects negative binomial models with incidence rate ratios (IRRs) and 95% CIs.Results End-of-life in-person family presence decreased progressively across pre-COVID (90.6%), COVID-ve (79.4%) and COVID+ve (47.1%) groups: adjusted ORs=0.38 (0.2–0.73) and 0.09 (0.04–0.17) for COVID-ve and COVID+ve groups, respectively. …”
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