Faktor Risiko Terjadinya Ulkus Diabetikum pada Pasien Diabetes Mellitus yang Dirawat Jalan dan Inap di RSUP Dr. M. Djamil dan RSI Ibnu Sina Padang by Rizky Loviana Roza, Rudy Afriant, Zulkarnain Edward

“…Meanwhile, the results of multiple logistic regression statistical tests that the old DM, neuropathy, PAD, history of trauma, and foot care a risk factor for diabetic ulcers. …”
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An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study by Guanghao Liu, Shixiang Zheng, Jun He, Zi-Mei Zhang, Ruoqiong Wu, Yingying Yu, Hao Fu, Li Han, Haibo Zhu, Yichang Xu, Huaguo Shao, Haidan Yan, Ting Chen, Xiaopei Shen

“…We developed a simplified risk-stratified early forewarning model for SS based on the weight of evidence and logistic regression, which was compared with multi-feature complex models, and clinical characteristics among risk groups were evaluated. …”
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Factors associated with HIV testing among young women in Tanzania: Insights from the 2022 Tanzanian Demographic and Health Survey using Anderson’s Behavioral Model by Mesfin Abebe, Yordanos Sisay Asgedom, Amanuel Yosef Gebrekidan, Yohannes Addisu Wondimagegne, Habtamu Endashaw Hareru, Tsion Mulat Tebeje

“…Given the hierarchical structure of the DHS data and the binary nature of the outcome variable ‘ever tested for HIV,’ we employed a multilevel mixed-effect logistic regression model. The best-fitting model was identified using the deviance value. …”
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Urban-rural disparities in cervical cancer screening among Indian women between 30–49 years: a geospatial and decomposition analysis using a nationally representative survey by Priyanka Garg, Yuvaraj Krishnamoorthy, Pritam Halder, Sathish Rajaa, Madhur Verma, Ankita Kankaria, Anil Goel, Rakesh Kakkar

“…Spatial patterns were analysed using aggregated district-level data, and the contribution of different independent variables to the urban-rural disparities was estimated using multivariate decomposition analysis. Multivariable logistic regression was conducted using STATA 17 to obtain the significant factors of reported screening in urban and rural areas. …”
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Post-craniotomy intracranial pressure monitoring: a novel approach combining optic nerve sheath diameter ultrasonography and cervical-cerebral arterial ultrasound by Zunfeng Fu, Lin Peng, Laicai Guo, Naixia Hu, Yamin Zhu, Shouxin Tang, Hongliang Lou, Jiajun Zhang, Chongqiang Wang

“…Finally, receiver operator characteristic curves (ROC) were also analyzed for different indexes and their combinations (using logistic model).ResultsSignificant differences were observed between the normal and elevated ICP groups with respect to ONSD, PI-ratio, MCAPI and MCAFVd (diastolic flow velocity of MCA) (p < 0.05). …”
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Genome-Wide Profiling of Human Papillomavirus DNA Integration into Human Genome and Its Influence on PD-L1 Expression in Chinese Uygur Cervical Cancer Women by Feng Yang-chun, Wang Sen-yu, Zhang Yuan, Huang Yan-chun

“…The positive PD-L1 rate was 62.5%. Logistic regression analysis showed that 9p24.1 existing integration sites and the number of all gene integration were risk factors for PD-L1 expression (odds ratio 17.313 and 1.012; 95% confidence interval 1.691-177.213 and 1.001-1.023). …”
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Effectiveness of a Mobile Health Intervention (DOT Selfie) in Increasing Treatment Adherence Monitoring and Support for Patients With Tuberculosis in Uganda: Randomized Controlled... by Juliet Nabbuye Sekandi, Esther Buregyeya, Sarah Zalwango, Damalie Nakkonde, Patrick Kaggwa, Trang Ho Thu Quach, David Asiimwe, Lynn Atuyambe, Kevin Dobbin

“…An intention-to-treat analysis was conducted, and multivariable logistic regression was used to estimate the effect of the intervention on adherence monitoring. …”
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Le mouvement étudiant et la question des langues en Algérie (1962-1965) : à propos d’un épisode méconnu de l’histoire de l’UGEMA-UNEA by Yassine Temlali

“…In return, its organic autonomy was generally tolerated by the FLN, and it received subsidies and logistical support.The burial of proposals in favour of Berber languages at the Fifth Congress of the UGEMA would also carry the mark of the alliance of the communists with Ahmed Ben Bella. …”
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Sexual Practices and HIV Prevention Strategies Used by Female Sex Workers in Lagos, Nigeria: An Assessment of the Willingness to Use a Microbicide by Ekama SO, Sheth AN, Ilomuanya MO, Okwuzu JO, Musa AZ, Idigbe I, Ezeobi PM, Oladele DA, Ezechi OC, Salako BL

“…Descriptive statistics were used to present the results, and a multiple logistic regression model was used to determine the factors associated with willingness to use a microbicide.Results: A total of 461 female participants with a mean-age of 29.63 ± 8.8 years were included in the analysis of which 34.3% had > 4 sexual partners, 91.8% used condoms, 53.6% engaged in anal sex, 69.6% had experienced condom rupture, and 31% would “accept unprotected sex” if the male partner refuses to use a condom. …”
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Gender difference in domain-specific quality of life measured by modified WHOQoL-BREF questionnaire and their associated factors among older adults in a rural district in Banglades... by Fakir M Amirul Islam

“…We used a generalized linear model to compare the mean rate of QoL for different factors, and logistic regression analysis was used to quantify the associations of factors with below-average QoL measured as 50% or less in QoL.…”
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The role of Anti-PAD4, Anti-CarP, and Anti-RA33 antibodies combined with RF and ACPA in predicting abatacept response in rheumatoid arthritis by Alberto Floris, Maria Maddalena Angioni, Mattia Fadda, Micaela Rita Naitza, Mattia Congia, Elisabetta Chessa, Matteo Piga, Alberto Cauli

“…The achievement of a moderate or good EULAR response at 6 months and the 3-years retention were analyzed as treatment outcomes. Multiple logistic regression models and Cox regression hazard analysis models were built to identify the association between such outcomes and the different AAbs, after adjustment for different confounders. …”
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Clinical Features and Changes in Insulin Requirements in People with Type 2 Diabetes Requiring Insulin When Hospitalised with SARS-CoV-2 Infection by Antonella Corcillo, Aaisha Saqib, Niruthika Sithamparanathan, Amina Khanam, Jamal Williams, Abhiti Gulati, Dulmini Kariyawasam, Janaka Karalliedde

“…People requiring insulin were younger, had a higher preadmission HbA1c, were more frequently on oral medication for diabetes before the admission, and were more likely to be obese (body mass index ≥30 kg/m2), with p ≤ 0.001 for all. In multivariable logistic regression analyses, we observed that younger age and higher HbA1c before admission were independently associated with needing insulin, with one-year increase in age associated with decreased odds of needing insulin initiation (OR 0.91, 95% CI 0.83–0.99), and increasing preadmission HbA1c by 1 mmol/mol associated with an increased odds of insulin initiation (OR 1.05, 95% CI 1.002–1.11) (p < 0.05 for both). …”
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The Joint Association of Sleep Quality and Outdoor Activity with Asthma and Allergic Rhinitis in Children: A Cross-Sectional Study in Shanghai by Lu R, Zhang Y, Chen Y, Lyu J, Li R, Kang W, Zhao A, Ning Z, Hu Y, Lin X, Tong S, Lu Z, Li S

“…The Children’s Sleep Habits Questionnaire (CSHQ) and the International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire were respectively used to evaluate the sleep quality, allergic rhinitis and asthma. Multivariable logistic regression models were used to analyze the correlation of sleep quality, outdoor activities and their combination with children’s asthma and allergic rhinitis.Results: The overall prevalence of asthma and allergic rhinitis in our sampled children were 10.2% and 17.6%, respectively. …”
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Predictive Validity of Hospital-Associated Complications of Older People Identified Using Diagnosis Procedure Combination Data From an Acute Care Hospital in Japan: Observational S... by Seigo Mitsutake, Tatsuro Ishizaki, Shohei Yano, Takumi Hirata, Kae Ito, Ko Furuta, Yoshitomo Shimazaki, Hideki Ito, Alison Mudge, Kenji Toba

“…Generalized linear regression models were used to examine the associations between HAC-OP-DPC and LOS, and logistic regression models were used to examine the associations between HAC-OP-DPC and discharge to other hospitals and long-term care facilities (LTCFs). …”
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Association of genomic predictions for fertility traits with reproductive outcomes in dairy cows under 2 estrus detection and timed artificial insemination programs by D.B. Melo, R.G.S. Bruno, R.S. Bisinotto, F.S. Lima

“…Statistical analyses included logistic regression used for AIE, P1, and PL; Poisson regression for the NSFC; and linear regression for TP1. …”
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International diet quality index and revised diet quality index relationship with type 2 diabetes disease: a case-control study by Amr Ali Mohamed Abdelgawwad El-Sehrawy, Bilal AbdulMajeed Mukhlif, Enwa Felix Oghenemaro, M. M. Rekha, Rohit Kumawat, Shilpa Sharma, M. Ravi Kumar, Nagat Salah Shalaby, Munthar Kadhim Abosaoda, Abed J. Kadhim

“…By analyzing dietary patterns in individuals with and without diabetes, the research aims to identify key nutritional factors influencing disease risk and provide evidence-based dietary recommendations for prevention and management.MethodsThis case-control study involved 128 T2DM patients and 256 controls, assessing dietary intake with a validated 168-item food frequency questionnaire to calculate the Dietary Quality Index-I (DQI-I) and Dietary Quality Index-R (DQI-R). Multivariable logistic regression analysis explored the relationship between DQI-I, DQI-R, and their components with T2DM development odds.ResultsThe mean (SD) age and body mass index (BMI) of participants, comprising 53.7% men, were 37.8 (7.8) years and 27.7 (3.3) kg/m2, respectively. …”
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Investigating service delivery and perinatal outcomes during the low prevalence first year of COVID-19 in a multiethnic Australian population: a cohort study by Vincent W Lee, N Wah Cheung, Dharmintra Pasupathy, Sarah J Melov, James Elhindi, Therese M McGee, Seng Chai Chua, Justin McNab, Thushari I Alahakoon

“…Objective Investigate the impact of the COVID-19 pandemic on perinatal outcomes in an Australian high migrant and low COVID-19 prevalent population to identify if COVID-19 driven health service changes and societal influences impact obstetric and perinatal outcomes.Design Retrospective cohort study with pre COVID-19 period 1 January 2018–31 January 2020, and first year of global COVID-19 period 1 February 2020–31 January 2021. Multivariate logistic regression analysis was conducted adjusting for confounders including age, area-level socioeconomic status, gestation, parity, ethnicity and body mass index.Setting Obstetric population attending three public hospitals including a major tertiary referral centre in Western Sydney, Australia.Participants Women who delivered with singleton pregnancies over 20 weeks gestation. …”
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Barriers to healthcare access among female youths in Mozambique: a mixed-effects and spatial analysis using DHS 2022/23 data by Habtu Kifle Negash, Hiwot Tezera Endale, Hailu Aragie, Winta Tesfaye, Mihret Getnet, Tseganesh Asefa, Yibeltal Yismaw Gela, Alebachew Ferede Zegeye

“…Analyses included multilevel logistic regression and spatial methods (Global Moran’s I, SaTScan) using Stata 17 and ArcGIS 10.7 to identify barriers and clusters. …”
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Machine learning derivation of two cardiac arrest subphenotypes with distinct responses to treatment by Weidong Zhang, Chenxi Wu, Peifeng Ni, Sheng Zhang, Hongwei Zhang, Ying Zhu, Wei Hu, Mengyuan Diao

“…Furthermore, in-hospital and 28-day mortality rates of patients across different CA subphenotypes were assessed using multivariate logistic and Cox regression analysis. Results After applying exclusion criteria, 719 CA patients were included in the study, with a median age of 67.22 years (IQR: 55.50-79.34), of whom 63.28% were male. …”
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The joint effects of inflammation and renal function status on in-hospital outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis by Zhichao Huang, Xiaoyue Zhu, Xiuman Xu, Yi Wang, Yafang Zhu, Dongqin Chen, Yongjun Cao, Xia Zhang

“…They were divided into four groups according to the cut-offs of inflammatory biomarkers and eGFR by receiver operating characteristics(ROC) curves for two outcomes of post-stroke pneumonia and functional status: WBC↓/eGFR↑, WBC↓/eGFR↓, WBC↑/eGFR↑, and WBC↑/eGFR↓for post-stroke pneumonia; and CRP↓/eGFR↑, CRP↓/eGFR↓, CRP↑/eGFR↑, and CRP↑/eGFR↓for functional outcome. Logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of post-stroke pneumonia or at-discharge functional outcome, using the WBC↓/eGFR↑group or CRP↓/eGFR↑group as the reference. …”
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