Recovery and long-term health outcomes of SARS-CoV-2 infection in a prospective cohort in an urban setting, Kenya by Isaac Kisiangani, Ângela Jornada Ben, Elke Wynberg, Welcome Wami, Samuel Iddi, Idah Kinya, Anna Vassall, Catherine Kyobutungi, Abdhalah Ziraba, John Njeru, Olive Mugenda, Marion Wangui Kiguoya, Mutambuki Kimondo, Geoffrey Githua, Menno D. de Jong, Shukri F. Mohamed, Gershim Asiki, Constance Schultsz

“…Time to recovery was analyzed using survival analysis, while factors affecting recovery factors and long COVID severity using Cox proportional hazard and Poisson regression, respectively. …”
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Predicting plant uptake of potential contaminants of emerging concerns using machine learning models (2018–2025): A global review by Alexis Munyengabe, Maria Fezile Banda, Wilma Augustyn

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A machine learning model for predicting postoperative complication risk in young and middle-aged patients with femoral neck fractures by Yixin Huang, Yixin Huang, Dongze Lin, Bin Chen, Xiaole Jiang, Shanglin Shangguan, Fengfei Lin

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Imaging characteristics of cerebral small vessel disease in high⁃altitude plateau by WANG Jun⁃shan, ZHAO Wei⁃wei, ZHUO Ma, CHEN Yu⁃xiu, ZHAO Yu⁃hua, YUAN Jing

“…Logistic regression analysis revealed that older age (OR = 1.056, 95%CI: 1.026-1.088; P = 0.000) and hypertension (OR = 2.482, 95%CI: 1.071-5.753; P = 0.034) were risk factors for high CSVD burden. …”
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Prevalence of low-level viremia in people living with HIV/AIDS and its impact on virological failure in Guizhou Province, China by Yan Zheng, Xinling Zha, Hai Long, Wenji Zeng, Junhua Wang, Yongming Yao, Lu Huang, Xiaotian Song, Maosi Wang, Yang Chen, Yang Chen

“…Non-conditional binary logistic regression analysis was used to identify factors influencing LLV.ResultsIn total, 28,613 cases of infection were analyzed, with 33.72% (9,649/28,613) exhibiting LLV. …”
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Physical Inactivity and Cardiovascular Health in Aging Populations: Epidemiological Evidence and Policy Implications from Riyadh, Saudi Arabia by Abdulaziz M. Alodhialah, Ashwaq A. Almutairi, Mohammed Almutairi

“…Cardiovascular health indicators and risk factors were analyzed using descriptive statistics, chi-square tests, and multivariate logistic regression. …”
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A novel nomogram for predicting prolonged disorders of consciousness in severe supratentorial hypertensive intracerebral hemorrhage patients by Shen Wang, Ruhai Wang, Xianwang Li, Hongtao Sun, Haicheng Hu

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Optimal infiltration depth threshold for low-temperature plasma ablation in fungal keratitis by Zhengwei Yang, Miaomiao Liu, Guihua Yang, Lijin Wen, Juan Yang, Hanqiao Li, Zhiwen Xie, Xie Fang, Shunrong Luo, Xianwen Xiao, Yuan Lin, Huping Wu

“…Additionally, exact univariate and multivariate logistic regression were performed to identify prognostic factors. …”
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Spatiotemporal variability of drought in representative dry-hot valley regions of Southwest China by HUO Hong, ZHAO Xuan, LEI Wenwen, SUN Changping

“…We then integrated natural and anthropogenic factors, including annual mean temperature, precipitation, evapotranspiration, and nighttime light intensity, and applied piecewise linear regression, the Mann-Kendall test, Theil-Sen slope estimation, GeoDetector, and correlation analysis to investigate the spatiotemporal changes in TVDI from 2001 to 2020 in the region.…”
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Symptom characteristics in patients undergoing acute type A aortic dissection surgery post-discharge phase: a prospective observational study by Jianlong Lin, Sailan Li, Yanchun Peng, Yaqin Chen, Liangwan Chen, Yanjuan Lin

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Impact of Onset-to-Needle Time on the Risk of Early Neurological Deterioration in Patients with Acute Ischemic Stroke Receiving Intravenous Thrombolysis by Hu B, Hua J

“…Baseline and clinical data were analyzed using univariate, multivariable logistic regression, and subgroup analyses. …”
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Treatment of Psoriasis with II-17 Inhibitors: Comparison of Long-Term Effectiveness and Drug Survival of Secukinumab vs Ixekizumab in Real-World Practice by Lam J, Cazzaniga S, Seyed Jafari SM, Maul JT, Feldmeyer L, Bossart S, Yawalkar N, Heidemeyer K

“…Kaplan–Meier analysis was used to assess drug survival. Log rank test and Cox regression analysis were performed to identify associated factors and possible independent predictors for drug discontinuation.Results: 81 patients have been included in the study. …”
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Internalizing behavioral problems in pediatric patients with congenital heart disease by Siti Annisa Dewi Rani, Irwanto, Taufiq Hidayat

“…Differences in behavioral problems between acyanotic and cyanotic CHD groups were analyzed, and associated risk factors were identified through logistic regression analysis. …”
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Alcohol consumption, high-sensitivity C-reactive protein, and estimated glomerular filtration rate: tripartite predictors of 10-year cardiovascular risk progression in patients wit... by Yizhe Wang, Yizhe Wang, Yu Duan, Yongcheng Zhang, Yongcheng Zhang, Na Li, Ying Hu, Liping Gu, Yanfang Hou, Yuhang Ma

“…Factors influencing 10-year CVD risk progression were evaluated through univariate and multivariate stepwise logistic regression. …”
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Correlation between disease progression and histopathologic criterions of the lip squamous cell carcinoma by Golubović Mileta, Ašanin Bogdan, Jelovac Drago, Petrović Milan, Antunović Marija

“…There was statistically significant difference in tumor size among the patients with and without disease relapse (p = 0.027). Logistic regression analysis showed that the tumor size is a statistically significant factor (R = 0.186; p = 0.011) for the appearance of regional lymph node metastases. …”
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Relationship between Mildly Elevated NT-proBNP Levels and Heart Failure Stages in the Elderly by Rana A. Hallak, Ahmed Alakedi, Mona Kardus, Ebtihal Al Amoudi, Ameerah Munassar, Mary Jaison, Hussein Zayed, Mohammed Jabal, Arwa Al Shatiri, Fahad Al Mubarak, Adel Saad, Rama Sarraj, Jawa Sarraj

“…Gender, cardiac symptoms, and other risk factors were observed to be significantly linked with NT-proBNP levels in multiple linear regression analysis. …”
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Does weightbearing status impact mortality and other complications in hip fracture patients when accounting for frailty? by Makoa Mau, Tyler Thorne, Kai Rossbach, Eleanor H. Sato, Chong Zhang, Angela P. Presson, Justin M. Haller

“…Methods: The National Surgical Quality Improvement Program (NSQIP) database January 2016 to December 2020 was queried for operatively treated hip fractures in patients aged ≥ 60 years using Current Procedural Terminology (CPT) codes (n = 53,959). Logistic regressions and receiver operating characteristic (ROC) curve analysis were conducted to determine the frailty measure which best predicts 30-day mortality among American Society of Anesthesiologists grade (ASA), five-factor modified Fraility Index (mFI-5), and Risk Analysis Index Recalibrated Version (RAI-Rev). …”
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The burden of carbon monoxide poisoning in China from 1990 to 2021 and forecasts to 2050 by Yanwu Yu, Jinzhou Yu, Ding Yuan, Fang Yang, Hongyi Yan, Pin Jiang, Mengnan Guo, Zhigao Xu, Gaiqin Yan, Yan Zhang, Yanxia Gao

“…AimThis study aimed to analyze the disease burden of carbon monoxide poisoning (COP) in China from 1990 to 2021 and to forecast future trends.MethodsData were retrieved from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. …”
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Prognostic biomarkers in treatment-naïve central retinal vein occlusion with macular edema by Yu Song, Qian Wang, Yu Du, Hong Tian, Yangyang Xu, Rui Min Chen, Shancheng Si

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Study on the spatio-temporal evolution and multi-scale influencing factors of digital technology innovation: A case study of 41 cities in the Yangtze River Delta(数字技术创新的时空演进与多尺度影响因... by 李云霞(LI Yunxia), 高世杰(GAO Shijie), 李羚锐(LI Lingrui)

“…There is no obvious trend of multidimensional polarization. (2) The spatial Markov chain analysis shows a "club convergence" phenomenon in the dynamic regional change of digital technological innovation within the Yangtze River Delta region. (3) The multi-scale geographically weighted regression model shows that the degree of openness to the outside world and the level of logistics development have small spatial scales and are local factors, while the industrial structure, the level of infrastructure, environmental regulation, and employment structure are global factors. …”
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