Etiology of Emergency Visit and In-Hospital Outcomes of Patients with COPD by Xueyang Zhang, Qingtao Zhou, Shengfeng Wang, Qingbian Ma, Yongchang Sun

“…For those with AECOPD, age, atrial fibrillation, NT-pro BNP ≥300 pg/ml, and blood pH <7.3 were independent risk factors for ICU admission, while advanced age, underlying malignancy, elevated NT-pro BNP, and pneumonia on CT scan were risk factors for hospital mortality.…”
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Development and validation of a risk assessment model for predicting the failure of early medical abortions: A clinical prediction model study based on a systematic review and meta... by An-Hao Liu, Bin Xu, Xiu-Wen Li, Yue-Wen Yu, Hui-Xin Guan, Xiao-Lu Sun, Yan-Zhen Lin, Li-Li Zhang, Xian-Di Zhuo, Jia Li, Wen-Qun Chen, Wen-Feng Hu, Ming-Zhu Ye, Xiu-Min Huang, Xun Chen

“…The risk factors were assigned scores based on their respective weightings. …”
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Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection among Kidney Transplant Recipients: A Large Single-Center Experience by Emily E. Zona, Mina L. Gibes, Asha S. Jain, Juan S. Danobeitia, Jacqueline Garonzik-Wang, Jeannina A. Smith, Didier A. Mandelbrot, Sandesh Parajuli

“…Outcomes of interest included risk factors for hospitalization, all-cause mortality, COVID-19-related mortality, and allograft failure. …”
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Predicting postoperative nausea and vomiting after cesarean section: a nomogram model combined with gastric ultrasound by Yingchao Liu, Huohu Zhong, Zhisen Dai, Yuxin Huang, Yibin Liu, Hefan He, Yuewen Liao, Weifeng Liu

“…Univariate and multivariate logistic regression were used to analyze the risk factors for PONV following Cesarean sections and the independent risk factors were then used for the prediction model. …”
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Ensemble machine learning models for lung cancer incidence risk prediction in the elderly: a retrospective longitudinal study by Songjing Chen, Sizhu Wu

“…Abstract Background Identifying high risk factors and predicting lung cancer incidence risk are essential to prevention and intervention of lung cancer for the elderly. …”
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To do or not to do? – Endometrial biopsy in younger women with abnormal uterine bleeding by Sandra Lynn Jaya-Bodestyne, Marlene Samantha Goh, Madeline Chan Hiu Gwan, Sonali Prashant Chonkar, Khurshid Merchant, Manisha Mathur

“…A BMI ≥ 30 (RR 1.76, p = 0.002), nulliparity (RR 1.84, p = 0.001), ultrasound findings of thickened endometrium ≥ 15 mm (RR 1.39, p = 0.048) and cystic spaces in the endometrium (RR 1.83, p < 0.001) were identified as significant risk factors after a multivariate analysis. A combination of at least 3 of these risk factors had a cumulative increased risk of EH/EC (RR 3.80, p < 0.001). …”
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Factors Associated with High Sodium Intake Assessed from 24-hour Urinary Excretion and the Potential Effect of Energy Intake by Fatimah Othman, Rashidah Ambak, Cheong Siew Man, Nor Azian Mohd Zaki, Mohd Hasnan Ahmad, Nur Shahida Abdul Aziz, Azli Baharuddin, Ruhaya Salleh, Tahir Aris

“…The aim of this study was to determine the risk factors associated with high sodium intake assessed from urine sodium excretion and the influence of energy intake. …”
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Comparative analysis of clinical characteristics and outcomes between carbapenem-resistant and carbapenem-sensitive Klebsiella pneumoniae infections: insights from a tertiary hospi... by Bu Wang, Bu Wang, Wei Zhang, Hongxia Zhang, Maochen Li, Zhihua Zhang, Xiaocui Peng, Na Wang, Ning Song

“…Univariate analysis identified potential risk factors for CRKP infections using appropriate statistical methods, followed by multivariable logistic regression to determine independent risk factors. …”
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Targeted Therapy on Age-Related Macular Degeneration by Vankodoth Sireesha, Kaluvala Ramya, Manne Nikshitha, Sunkari Nikitha, T. Rama Rao

“…A healthy diet rich in antioxidants may help in preventing AMD; understanding the risk factors and improving lifestyle choices are more important. …”
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Detection of Non-Communicable Disease Risk Using Android-Based Application (Design of DERI PTM Application) by Feranita Utama, Windi Indah Fajar Ningsih, Widya Lionita

“…This study aimed to design a health application that the community can use for early detection of NCD risk factors, especially modifiable behavioral risk factors and metabolic risk factors. …”
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Tibial scoring as a predictor for amputation-free survival in critical limb ischemic patients by Yehia K. Sadek, Sameh El Sayed El Emam, Ahmed K. Mohamed

“…Nonmodifiable risk factors correlated with elevated tibial artery calcification scores. …”
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More than Just Pneumonia: Acute Pulmonary Embolism in Two Middle-Aged Patients with COVID-19 by Jahinover Mazo, Sukhdev Singh, Zohaib Khan, Allison Foster, Ecaterina Komarnitsky, Abhiram Nagaraj, Soham Patel, Vinaya Kikkeri

“…In this report, we present two patients, both under the age of 40 with known risk factors for venous thromboembolism, who presented with respiratory distress. …”
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Acute pancreatitis after double cardiac valve replacement: a case report by Wafae El Amraoui, Ayoub Ettaje, Oumaima Belcadi, Salim Chajai, Yassine Elmourabit, Lalla Hasnaa Leghlimi, Lahcen Marmad, Mohamed Tribak, Fadoua Lachhab, Adil Bensouda, Said Moughil

“…Early recognition of risk factors and vigilance toward initial symptoms can prevent significant morbidity and mortality. …”
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CT-based intratumoral and peritumoral radiomics nomogram to predict spread through air spaces in lung adenocarcinoma with diameter ≤ 3 cm: A multicenter study by Yangfan Su, Junli Tao, Xiaosong Lan, Changyu Liang, Xuemei Huang, Jiuquan Zhang, Kai Li, Lihua Chen

“…A nomogram based on prediction probability value of the optimal radiomics model and clinical independent risk factors was developed to predict STAS status. Results: Maximum diameter and nodule type were clinical independent risk factors. …”
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Risk of hepatocellular carcinoma in Asian patients with primary biliary cholangitis: A nationwide and hospital cohort study by Jihye Lim, Ye-Jee Kim, Sehee Kim, Jonggi Choi

“…The incidence of HCC and its risk factors in patients with PBC were assessed and compared with those in the matched controls. …”
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Critically Ill Patients with Renal Hyperfiltration: Optimizing Antibiotic Dose by Jorge Rico-Fontalvo, José Correa-Guerrero, María Cristina Martínez-Ávila, Rodrigo Daza-Arnedo, Tomás Rodriguez-Yanez, Amilkar Almanza-Hurtado, José Cabrales, Carmen Julia Mendoza-Paternina, Alvaro Frías-Salazar, Julio Morales-Fernández

“…Renal hyperfiltration (RHF) is a prevalent phenomenon in critically ill patients characterized by augmented renal clearance (ARC) and increased of elimination of renally eliminated medications. Multiple risk factors had been described and potential mechanisms may contribute to the occurrence of this condition. …”
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Lifestyle scores and their potential to estimate the risk of multiple non-communicable disease-related endpoints: a systematic review by Jie Ding, Ruojin Fu, Tanwei Yuan, Hermann Brenner, Michael Hoffmeister

“…Healthy lifestyle scores including additional risk factors (i.e., blood pressure, blood glucose, and waist circumference) aside from major risk factors (i.e., Body Mass Index (BMI), smoking, and diet) seemed to have a stronger ability to estimate NCDs risk than scores including only major risk factors. …”
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Application of Dragonnet and Conformal Inference for Estimating Individualized Treatment Effects for Personalized Stroke Prevention: Retrospective Cohort Study by Sermkiat Lolak, John Attia, Gareth J McKay, Ammarin Thakkinstian

“…The main outcome was ischemic or hemorrhagic stroke, identified using International Classification of Diseases, 10th RevisionICD-10 ResultsAF, HT, and DM were identified as significant stroke risk factors. Average causal risk effect estimates for these risk factors ranged from 0.075 to 0.097 for AF, 0.017 to 0.025 for HT, and 0.006 to 0.010 for DM, depending on the method used. …”
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A Novel Risk Score Model for the Differential Diagnosis of Type 2 Diabetic Nephropathy: A Multicenter Study by Yuetong Zhao, Lin Liu, Li Zuo, Xianghai Zhou, Song Wang, Hongwei Gao, Feng Yu, Xiaomei Zhang, Mi Wang, Ling Chen, Rui Zhang, Fang Zhang, Shuhong Bi, Qiong Bai, Jiaxiang Ding, Qinghua Yang, Sixu Xin, Sanbao Chai, Min Chen, Junqing Zhang

“…The purpose of our study was to determine the independent risk factors of DN and establish a risk score model to help differentiate DN and NDKD, providing a reference for clinical treatment. …”
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Establishing nomograms for predicting disease-free survival and overall survival in patients with breast cancer by Ling Zhou, Lifen Bai, Huiyin Zhu, Chongyong Guo, Sheng Liu, Lu Yin, Jian Sun

“…Univariate and multivariate Cox regression analyses were utilised to analyse the risk factors of recurrence and mortality. The nomograms for predicting the DFS and OS were established using the screened risk factors. …”
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