The effect of iron deficiency on cardiac resynchronization therapy: results from the RIDE‐CRT Study by Philipp Lacour, Phi Long Dang, Daniel Armando Morris, Abdul Shokor Parwani, Wolfram Doehner, Franziska Schuessler, Felix Hohendanner, Frank R. Heinzel, Andrea Stroux, Carsten Tschoepe, Wilhelm Haverkamp, Leif‐Hendrik Boldt, Burkert Pieske, Florian Blaschke

“…Secondary endpoints were hospitalization for heart failure and all‐cause mortality (mean follow‐up of 29.0 ± 8.4 months). At multivariate analysis, iron deficiency was identified as independent predictor of echocardiographic (hazard ratio 4.97; 95% confidence interval 1.15–21.51; P = 0.03) and clinical non‐response to CRT (hazard ratio 4.79; 95% confidence interval 1.30–17.72, P = 0.02). …”
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Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity by Seyyed M. H. Haddad, Christopher J. M. Scott, Miracle Ozzoude, Courtney Berezuk, Melissa Holmes, Sabrina Adamo, Joel Ramirez, Stephen R. Arnott, Nuwan D. Nanayakkara, Malcolm Binns, Derek Beaton, Wendy Lou, Kelly Sunderland, Sujeevini Sujanthan, Jane Lawrence, Donna Kwan, Brian Tan, Leanne Casaubon, Jennifer Mandzia, Demetrios Sahlas, Gustavo Saposnik, Ayman Hassan, Brian Levine, Paula McLaughlin, J. B. Orange, Angela Roberts, Angela Troyer, Sandra E. Black, Dar Dowlatshahi, Stephen C. Strother, Richard H. Swartz, Sean Symons, Manuel Montero-Odasso, null ONDRI Investigators, Robert Bartha

“…Mean DTI metrics were measured in each tissue region using a previously developed DTI processing pipeline and compared between tissues using multivariate analysis of covariance. Associations between FA in NAWM and several CVD risk factors were also examined. …”
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Prognostic implications of immune classification based on PD-L1 expression and tumor-infiltrating lymphocytes in endocervical adenocarcinoma by Li-Jun Wei, Zi-Yun Wu, Li-Yan Wu, Ying-Wen Wu, Hao-Yu Liang, Rong-Zhen Luo, Li-Li Liu

“…In NHPVA subgroup, TMIT was significantly associated with both DFS (p=0.005) and OS (p=0.003). Multivariate analysis identified TMIT as an independent prognostic factor for DFS in the NHPVA group, with TMIT I indicating a more favorable prognosis (p=0.042). …”
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Morfological Variation of Endemic Fish Rainbow Celebensis (Telmatherina celebensis Boulenger) in Lake Towuti, South Sulawesi by S.H. Nasution, . Sulistiono, D.S. Sjafei, G.S. Haryani

“…The result of univariate and multivariate analysis towards standard morphometric character, could be said that male and female at I, II, III, and IV station is same tendency or to be deacended from one fish population. …”
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Short-term survivors with brain metastases have modest benefits from focal and systemic therapies and remain frequent despite improving treatment landscape by M. Czogalla, J. Stöhr, N. Gleim, K. Papsdorf, S. Klagges, P. Hambsch, T. Kuhnt, F. Nägler, A. Barrantes-Freer, J. Wach, N.H. Nicolay, C. Seidel

“…In univariate and multivariate analysis, Karnofsky Performance Status (KPS) (p < 0.001) and number of BM (p = 0.004) were prognostic. …”
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Evaluation of Modified Frailty Index-5 as a Predictor of 60-day Perioperative Morbidity and Mortality in Geriatric Patients Presenting for Orthopaedic Surgery: A Prospective Cohort... by Aparna Ashay Nerurkar, Amreen Fatima

“…The data were analysed for association between mFI-5 and complications by applying t-test, Chi-square test and multivariate analysis using the Statistical Package for the Social Sciences (SPSS) 20.0 version. …”
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Endothelial Activation and Stress Index (EASIX) to predict mortality after allogeneic stem cell transplantation: a prospective study by Axel Benner, Peter Dreger, Grzegorz W Basak, Christian Koenecke, Olaf Penack, Christophe Peczynski, Lucia López Corral, Ivan Moiseev, Hélène Schoemans, Zinaida Peric, Thomas Luft, Simona Sica, Mutlu Arat, Maija Itäla-Remes, Nicolaas P M Schaap, Michal Karas, Ludek Raida, Thomas Schroeder, Elisabetta Metafuni, Tulay Ozcelik, Brenda M Sandmaier, Lambros Kordelas

“…We were able to validate the cut-off and found that EASIX ≥3 was associated with more than twofold increased risk for NRM in multivariate analysis (HR=2.18, 95% CI 1.2 to 3.94; p=0.01). …”
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Risk factors associated with mortality and pathogen characteristics of bloodstream infection-induced severe sepsis in the pediatric intensive care unit: a retrospective cohort stud... by Jian Chen, Jian Chen, Haixin Huang, Ruichen Zhang, Yueqiang Fu, Chunmei Jing

“…The incidence of septic shock (42.1% vs. 69%, P &lt; 0.001) and AKI (14% vs. 31%, P = 0.005) was significantly lower in the survival group compared to the non-survival group. In multivariate analysis, independent risk factors for 28-day mortality were the pediatric sequential organ failure assessment (pSOFA) score (OR 1.176; 95% CI: 1.046-1.321, p = 0.007) and the P/F value (OR 0.994; 95% CI: 0.991-0.997, P &lt; 0.001). …”
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Hospital attendance, malaria prevalence and self-medication with an antimalarial drug before and after the start of COVID-19 pandemic in a sentinel site for malaria surveillance in... by Denise Patricia Mawili-Mboumba, Fanny Bertrande Batchy Ognagosso, Noé Patrick M’Bondoukwé, Jacques Mari Ndong Ngomo, Bridy Chesly Moutombi Ditombi, Ahmed Adissa Agbanrin, Tatiana Nymane, Bedrich Pongui Ngondza, Reinne Moutongo Mouandza, Coella Joyce Mihindou, Dimitri Ardin Mabika Moussavou, Ornella Anaïse Mbang Nguema, Marielle Karine Bouyou-Akotet

“…Comparison of the prevalence of microscopic malaria, ITN use, self-medication and the fever duration prior the screening before and after year 2020 was performed using bivariate and multivariate analysis. Results Overall, 14428 febrile participants were screened for malaria. …”
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Harnessing genetic diversity in cotton for enhanced resilience against salt stress by using agro-physiological characters by Muhammad Mubashar Zafar, Aqsa Ijaz, Zunaira Anwar, Muhammad Shahid Iqbal, Saba Zafar, Mishal Subhan, Mahmoud F. Seleiman, Bushra A. Alhammad, Maha Aljabri, Fei Qiao, Abbas Shoukat, Amir Shakeel, Sezai Ercisli, Arfan Ali, Abdul Razzaq, Xuefei Jiang

“…Whereas the genotypes CCB-5, CCB-6, CCB-7, CCB-8, CCB-9, CCB-10, CCB-11, CCB-12, CCB-13, CCB-14, CCB-15, and CCB-16 demonstrated moderate performance for these traits under salt stress conditions respectively. Utilizing multivariate analysis techniques (cluster and PCA), 35 genotypes have been categorized into three groups based on studied traits: tolerant (cluster-1), moderately tolerant (cluster-2), and susceptible (cluster-3) under saline conditions.…”
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Retrospective analysis of amantadine response and predictive factors in intensive care unit patients with non-traumatic disorders of consciousness by Corinna Blum, Constanze Single, Kornelia Laichinger, Anna Hofmann, Tim W. Rattay, Tim W. Rattay, Kamaldeen Adeyemi, Reimer Riessen, Michael Haap, Helene Häberle, Ulf Ziemann, Annerose Mengel, Katharina Feil

“…Good outcomes were more frequent in responders at follow-up (4.9% vs. 1.1%, OR 6.14, 95% CI: 1.35–28.01, p = 0.004). In multivariate analysis higher premorbid mRS (OR 0.719, 95% CI 0.590–0.875, p &lt; 0.001), pathological imaging results (OR 0.546, 95% CI 0.342–0.871, p = 0.011), and experiencing cardiac arrest (OR 0.542, 95% CI 0.307–0.954, p = 0.034) were associated with lower odds of response. …”
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Risk factors associated with degenerative glenohumeral osteoarthritis by Ravi Prakash, Nitin B Jain, Ziyi Chen, Folefac D Atem, Michael S Khazzam, Rashmi Pathak, Daniel Tai, Ursa BezanPetric, Estefanie Garduno Rapp

“…In univariate analysis, significant associations with GH OA were found for increasing age (&gt;40 to ≤50: OR 3.29, 95% CI 2.44 to 4.45; &gt;50 to ≤60: OR 5.90, 95% CI 4.49 to 7.77; &gt;60 to ≤70: OR 12.18, 95% CI 9.22 to 16.08 and &gt;70: OR 16.54, 95% CI 12.47 to 21.94), higher BMI (≤19: OR 1.44, 95% CI 1.01 to 2.04; &gt;25 to ≤30: OR 1.57, 95% CI 1.32 to 1.86; &gt;30 to ≤35: OR 1.85, 95% CI 1.54 to 2.22 and &gt;35: OR 1.77, 95% CI 1.28 to 2.45), prior shoulder injury (OR 1.30; 95% CI 1.12 to 1.50), shoulder surgery history (OR 0.71; 95% CI 0.57 to 0.87), shoulder pain at night (OR 1.35; 95% CI 1.07 to 1.70) and hypertension (OR 0.70; 95% CI 0.60 to 0.81). In multivariate analysis, significant associations remained for age (&gt;40 to ≤50: OR 2.99, 95% CI 2.21 to 4.06; &gt;50 to ≤60: OR 5.48, 95% CI 4.14 to 7.23; &gt;60 to ≤70: OR 11.22, 95% CI 8.44 to 14.88 and &gt;70: OR 16.65, 95% CI 12.45 to 22.17), BMI (≤19: OR 1.49, 95% CI 1.01 to 2.20; &gt;25 to ≤30: OR 1.45, 95% CI 1.20 to 1.77; &gt;30 to ≤35: OR 1.70, 95% CI 1.39 to 2.09 and &gt;35: OR 1.78, 95% CI 1.25 to 2.55) and previous shoulder trauma (OR 0.80; 95% CI 0.68 to 0.94).Conclusion We identified increasing age and higher BMI as factors associated with GH OA. …”
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Donor-Specific Anti-Human Leukocyte Antigen Antibodies Predict Prolonged Isolated Thrombocytopenia and Inferior Outcomes of Haploidentical Hematopoietic Stem Cell Transplantation by Xiaosu Zhao, Xiangyu Zhao, Mingrui Huo, Qiaozhen Fan, Xuying Pei, Yu Wang, Xiaohui Zhang, Lanping Xu, Xiaojun Huang, Kaiyan Liu, Yingjun Chang

“…The incidence of PT was higher in patients with a MFI ≥ 1000 compared with those with a MFI < 1000 (16.8 ± 6.4% versus 7.4 ± 1.4%, P=0.05). Multivariate analysis showed that the presence of DSAs (MFI ≥ 1000) was correlated to PT (hazard ratio (HR) 3.262; 95% confidence interval (CI), 1.339–7.946; P=0.009) and transplant-related mortality (HR 2.320; 95% CI, 1.169–4.426; P=0.044). …”
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Derivation and validation of a prediction model for inadequate bowel preparation in Chinese outpatients by Huifang Yin, Yan Wang, Hangfang Wang, Tian Li, Xiangxiang Xu, Fengyu Li, Lihua Huang

“…Inadequate bowel preparation occurred in 260 of 1035 patients in the derivation cohort (25.1%). Multivariate analysis identified that male sex (OR = 1.690, 95% CI: 1.242–2.300), diabetes (OR = 1.769, 95% CI: 1.059–2.954), constipation (OR = 2.375, 95% CI: 1.560–3.617), history of colorectal surgery (OR = 2.915, 95% CI: 1.455–5.840), a high fiber diet used at 24 h before examination (OR = 2.662, 95% CI: 1.636–4.334) and the time interval from the end of the bowel preparation to the start of the colonoscopy (PC) >5 h (OR = 2.471, 95% CI: 1.814–3.366) were independent risk factors. …”
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Protocolized approach saves the limb in peripheral arterial injury: A decade experience by Pratyusha Priyadarshini, Supreet Kaur, Komal Gupta, Abhinav Kumar, Junaid Alam, Dinesh Bagaria, Narender Choudhary, Amit Gupta, Sushma Sagar, Biplab Mishra, Subodh Kumar

“…The majority (88.6%) of patients who required primary or secondary amputations had blunt trauma. On multivariate analysis, blunt trauma, ischemia time more than 6 h and concomitant venous, skeletal, and soft tissue injuries were associated with higher odds of amputation. …”
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Associations between Children’s Exposure to PM2.5 and their Serum Inflammatory Responses in Taiwan by Wei-Jung Tseng, Jian-He Lu, How-Ran Chao, Ming-Hsien Tsai, Yu-Ting Chang, Liang-Jen Wang, Chih-Cheng Chen, Wan-Nurdiyana-Wan Mansor, Juliana Jalaludin, Chih-Lung Wang, Ying-I Tsai

“…Children’s serum TNF-α was significantly linked to PM2.5 exposure scenarios (p = 0.031) by the test of the multivariate analysis (adjusted R2 = 0.033, p = 0.039), but the other variables of age (p = 0.147) and gender (p = 0.291) were not statistically significant. …”
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A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery by Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang

“…In the long-term group (n = 32) and short-term group (n = 72), the overall median survival time and the 1-, 2-, 3- years overall survival were 38 months, 100%, 100%, 61.3% and 10 months, 38.9%, 0%, 0%, respectively. 4 variables, including age, vascular invasion length, vascular morphological malformation, and local lymphadenopathy were confirmed as independent risk factors between the two groups following univariate and multivariate analysis. The AUC between the training set (n = 72) and the validation set (n = 32) were 0.881 and 0.875. …”
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Clinical characteristics and prognosis of amyopathic dermatomyositis patients with interstitial lung disease: insights from a retrospective cohort by Yanan Ying, Tingting Wu, Long Wang, Yun Zhang, Yiming Yu, Zaichun Deng, Qunli Ding

“…Survival was shorter among patients with ADM-OP than among control patients (p = 0.002). Cox multivariate analysis revealed that age (p = 0.002), smoking status (p = 0.011), anti-melanoma differentiation-associated gene 5 (MDA5) antibody (p = 0.017), and white blood cell count (p = 0.004) were independent predictors of shorter survival. …”
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Impact of surgical site infection (SSI) following gynaecological cancer surgery in the UK: a trainee-led multicentre audit and service evaluation by Rachel L O’Donnell, Georgios Angelopoulos, James P Beirne, Ioannis Biliatis, Helen Bolton, Melissa Bradbury, Elaine Craig, Ketan Gajjar, Michelle L Mackintosh, Wendy MacNab, Thumuluru Kavitha Madhuri, Mark McComiskey, Eva Myriokefalitaki, Claire L Newton, Nithya Ratnavelu, Sian E Taylor, Amudha Thangavelu, Sarah A Rhodes, Emma J Crosbie, Richard J Edmondson, Yee-Loi Louise Wan

“…A clinical diagnosis of SSI was made in 54 (16%) women. 33% (18/54) of women with SSI had prolonged hospital stays, and 11/37 (29%) had their adjuvant treatment delayed or cancelled. Multivariate analysis found body mass index (BMI) was the strongest risk factor for SSI (OR 1.08[95% CI 1.03 to 1.14] per 1 kg/m2 increase in BMI [p=0.001]). …”
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Development and validation of a prognostic nomogram incorporating neutrophil-to-albumin ratio for predicting overall survival in patients with nasopharyngeal carcinoma undergoing c... by Xin Hua, Meng-Di Wang, Wei-Qiong Ni, Zhi-Qing Long, Si-Fen Wang, Fang-Fang Duan, Chao Zhang, Xin Huang, Fei Xu, Wen Xia, Jia-Yi Chen, Yun-Sheng Gao

“…Results: The NAR score successfully segregated NPC patients into two categories with significantly different OS (HR = 0.536; 95 % CI: 0.296–0.972, P = 0.040). Through multivariate analysis, factors such as age, T stage, N stage, and NAR score were identified as independent predictors of OS, leading to the creation of a prognostic nomogram. …”
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