Determinants of Dietary Diversity Practice among Pregnant Women in the Gurage Zone, Southern Ethiopia, 2021: Community-Based Cross-Sectional Study by Tolesa Gemeda Gudeta, Ayana Benti Terefe, Girma Teferi Mengistu, Seboka Abebe Sori

“…The overall prevalence of the adequate dietary diversity practice was found to be 42.1% with 95% CI (48.4–46.1%) and the mean dietary diversity score was 5.30 ± 1.49 standard deviation (SD). Multivariable analysis revealed that primary school level [AOR = 6.471 (2.905, 12.415)], secondary school level (9–12) [AOR = 7.169 (4.001, 12.846)], college and above level [AOR = 32.27 (15.044, 69.221)], women with higher empowerment [AOR = 3.497 (2.301, 5.315)], women with a favorable attitude toward dietary diversity [AOR = 1.665 (1.095, 2.529)], women from wealthier households [AOR = 2.025 (1.252, 3.278)], and having well-secured food status [AOR = 3.216 (1.003, 10.308)] were variables that influence dietary diversity practice. …”
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Financial crisis and its association with parental stress and children’s mental health in Lebanon by Ramona Nasr, Samantha Abi Saab, Nada Nasr, Chadia Haddad, Eman Swaidan, Sara Abou Ibrahim, Joanne Karam

“…Negative correlations were observed between the IFDFW scale and both PSS (r=-0.200, p < 0.001) and PSC scores (r=-0.086, p = 0.038), indicating lower stress and symptoms with improved financial well-being. Multivariable analysis showed that higher PSC scores, age, complementary education, and Lebanese nationality were associated with increased parental stress, while unemployment, lower age, and higher IFDFW were associated with reduced stress. …”
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Significance of Heparin-Binding Protein and D-dimers in the Early Diagnosis of Spontaneous Bacterial Peritonitis by Tomasz Mikuła, Mariusz Sapuła, Joanna Jabłońska, Joanna Kozłowska, Wojciech Stańczak, Dagny Krankowska, Alicja Wiercińska-Drapało

“…A very weak, but statistically significant, correlation of HBP, WBC, and D-dimer levels with the peritoneal fluid polymorphonuclear (PMN) count was observed in the simple regression model, but multivariable analysis using the multiple regression model showed that only D-dimers correlated with peritoneal fluid PMNs independently from other inflammation biomarkers. …”
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Norepinephrine use in cardiogenic shock patients is associated with increased 30 day mortality by Xin Lu, Xue Wang, Yanxia Gao, Joseph Harold Walline, Shiyuan Yu, Zengzheng Ge, Mubing Qin, Huadong Zhu, Yi Li

“…Thirty day mortality for patients treated with norepinephrine was significantly higher than for those in the non‐norepinephrine group (41% vs. 30%, OR 1.61, 95% CI 1.09–2.39, P = 0.017; HR 1.50, 95% CI 1.09–2.06, P = 0.013). In the multivariable analysis, there was no significant difference between norepinephrine therapy and long‐term (90 day, 180 day, or 1 year) mortality (90 day (OR 1.19, 95% CI 0.82–1.74, P = 0.363), 180 day (OR 1.17, 95% CI 0.80–1.70, P = 0.418), 1 year (OR 1.14, 95% CI 0.79–1.66, P = 0.477). …”
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Diagnostic value of dual-layer spectral detector CT parameters for differentiating high- from low-grade bladder cancer by Li Chen, Lili Xu, Xiaoxiao Zhang, Jiahui Zhang, Xin Bai, Qianyu Peng, Erjia Guo, Xiaomei Lu, Shenghui Yu, Zhengyu Jin, Gumuyang Zhang, Yi Xie, Huadan Xue, Hao Sun

“…Univariate analysis revealed that differences in ID and NID in the corticomedullary phase, AEF, ECV, VNC, and Zeff images were statistically significant (p = 0.001–0.048). Multivariable analysis found that AEF was the best predictor of high-grade tumors (p = 0.006). …”
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Associations of dose to the urethra and long-term patient-reported outcomes after radiotherapy with EBRT and HDR brachytherapy boost for prostate cancer by Lars Haack, David Krug, Justus Domschikowski, Olaf Wittenstein, Severin Rodler, Philipp Nuhn, Christof van der Horst, Claudia Schmalz, Christian Schulz, Oliver Blanck, Frank-André Siebert, Alexander Fabian

“…Per predefined multivariable analysis, DU0.1cc and urinary incontinence remained significantly associated (B = −0.005; CI = −0.008 − -0.002; p = 0.003). …”
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Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbo... by Ubiracé Fernando Elihimas Júnior, Jamila Pinho Couto, Wallace Pereira, Michel Pompeu Barros de Oliveira Sá, Eduardo Eriko Tenório de França, Filipe Carrilho Aguiar, Diogo Buarque Cordeiro Cabral, Saulo Barbosa Vasconcelos Alencar, Saulo José da Costa Feitosa, Thais Oliveira Claizoni dos Santos, Helen Conceição dos Santos Elihimas, Emilly Pereira Alves, Marcio José de Carvalho Lima, Frederico Castelo Branco Cavalcanti, Paulo Adriano Schwingel

“…There was no difference in death outcome comparison. Multivariable analysis among covariables predisposing chronic kidney disease epidemiology collaboration (CKD-EPI) equation <60 mL/min/1.73 m2 presented a statistical significance for age ≥60 years (P = 0.01) and reduction in serum haemoglobin (P = 0.03). …”
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Time to first antenatal care visit and its predictors among women in Kenya: Weibull gamma shared frailty model (based on the recent 2022 KDHS data) by Bizunesh Fantahun Kase, Beminate Lemma Seifu, Kusse Urmale Mare, Abdu Hailu Shibeshi, Hiwot Altaye Asebe, Kebede Gemeda, Zufan Alamrie Asmare, Yordanos Sisay Asgedom, Bezawit Melak Fente, Afework Alemu Lombebo, Tsion Mulat Tebeje

“…Variables with p < 0.2 entered multivariable analysis, and results were reported as Adjusted Hazard Ratios (AHR) with 95% Confidence Intervals (CI) using the Weibull gamma model. …”
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The impact of radiation-related lymphocyte recovery on the prognosis of locally advanced esophageal squamous cell carcinoma patients: a retrospective analysis by Hongshan Ji, Ping Zhang, Chanjun Zhen, Liyuan Fu, Dongjie Lv, Wenwen Bai, Rui Zhang, Jing Li, Hang Gao, Yajing Wang, Qiuying An, Yuhao Su, Hanyu Si, Xueying Qiao, Zhiguo Zhou

“…The median PFS for Group A and Group B were 8.4 months and 12.4 months, p = 0.021. Cox multivariable analysis revealed that higher lymphocyte recovery level at P3 was significantly associated with superior OS (p = 0.040, HR0.636) and PFS (p = 0.028, HR0.627). …”
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Long-term outcome of a treat-to-target strategy in late-onset rheumatoid arthritis with chronic lung disease: 5-year results of a prospective observational study by Manami Nomura, Takahiko Sugihara, Hiroyuki Baba, Tadashi Hosoya, Mari Kamiya, Tatsuro Ishizaki, Takumi Matsumoto, Kanae Kubo, Fumio Hirano, Masayo Kojima, Nobuyuki Miyasaka, Shinsuke Yasuda, Masayoshi Harigai

“…Infections requiring hospitalization, deterioration of extra-articular manifestations and fractures were more frequently reported as SAEs in patients with CLD, and multivariable analysis showed that patients with CLD had a higher risk of developing these SAEs (adjusted hazard ratio:2.53, 95% CI 1.60–4.00, p < 0.001). …”
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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

“…The best-fitting model was identified using the deviance value. In the multivariable analysis, we calculated adjusted odds ratios (AORs) along with their 95% confidence intervals (CIs) to assess the strength of associations between various predictors and HIV testing. …”
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Uncovering women's healthcare access challenges in low- and middle-income countries using mixed effects modelling approach: Insights for achieving the Sustainable Development Goals... by Bewuketu Terefe, Belayneh Shetie Workneh, Gebreeyesus Abera Zeleke, Enyew Getaneh Mekonen, Alebachew Ferede Zegeye, Agazhe Aemro, Berhan Tekeba, Tadesse Tarik Tamir, Mulugeta Wassie, Mohammed Seid Ali

“…The mixed-effects model takes into account clustering within countries and allows for the examination of fixed and random effects that influence women's healthcare access across LMICs. For the multivariable analysis, variables with a p-value ≤0.2 in the bivariate analysis were considered. …”
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Histopathologic Progression and Metastatic Relapse Outcomes in Small Cell Neuroendocrine Carcinomas of the Urinary Tract by Mohammad Jad Moussa, Georges C. Tabet, Arlene O. Siefker‐Radtke, Lianchun Xiao, Nathaniel R. Wilson, Jianjun Gao, Christopher J. Logothetis, Petros Grivas, Byron Lee, Amishi Y. Shah, Pavlos Msaouel, Roger Li, Leticia Campos Clemente, Jianping Zhao, Nizar M. Tannir, Ashish M. Kamat, Donna E. Hansel, Charles C. Guo, Matthew T. Campbell, Omar Alhalabi

“…Patients with eradicated SCNEC but remaining UC components had an intermediate‐risk CIF (32.5% [95% CI 18.6–47.2]). Multivariable analysis adjusting for neoCTx, clinical stage at diagnosis (T3/4, N0/N+ vs. …”
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Intracranial complications in adult patients with severe pneumococcal meningitis: a retrospective multicenter cohort study by Camille Legouy, Renaud Cornic, Keyvan Razazi, Damien Contou, Stéphane Legriel, Eve Garrigues, Pauline Buiche, Maxens Decavèle, Sarah Benghanem, Thomas Rambaud, Jérôme Aboab, Marina Esposito-Farèse, Jean-François Timsit, Camille Couffignal, Romain Sonneville

“…The most frequent intracranial complications were ischemic lesion (69/237 patients, 29%), diffuse cerebral oedema (43/237, 18%) and ventriculitis (36/237, 15%). Through multivariable analysis, we found that intracranial complications (adjusted odds ratio (aOR) 2.88, 95%CI 1.37–6.21) were associated with unfavorable outcome, along with chronic alcohol consumption (aOR 3.10, 95%CI 1.27–7.90), chronic vascular disease (aOR 4.41, 95%CI 1.58–13.63), focal neurological sign(s) (aOR 2.38, 95%CI 1.11–5.23), and cerebrospinal fluid leukocyte count < 1000 cell/microL (aOR 4.24, 95%CI 2.11–8.83). …”
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Prevalence and predictors of permanent pacemaker implantation in patients with aortic stenosis undergoing transcatheter aortic valve implantation: a prospective cohort study by Erlend Eriksen, Ronak Rajani, Sahrai Saeed, Svein Rotevatn, Daanyaal Wasim, Øyvind Bleie, Abukar Mohamed Ali, Erik Jerome Stene Packer, Håvard Keilegavlen

“…Among the 548 eligible patients, 173 (31.6%) underwent pacemaker implantation ≤30 days following TAVI, evenly distributed between females and males (29.6% vs 33.6%, p=0.317), with higher implant rates at low-volume phase (2012–2015) and lower implant rates at high-volume phase (2016–2019) (45.8% vs 23.9%, p&lt;0.001). On multivariable analysis, an abnormal electrocardiogram (OR 1.73; 95% CI 1.14 to 2.63, p=0.010), right bundle branch block (OR 2.23; 95% CI 1.09 to 4.59, p=0.028) and atrial fibrillation (OR 1.89; 95% CI 1.24 to 2.88, p=0.003) at baseline were strong predictors of pacemaker implantation. …”
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Pre-treatment nutrition-related indicators and the prognosis of patients with newly diagnosed epithelial ovarian cancer: an ambispective cohort study by Shirui Wang, Jingyu Zhu, Ningjuan Wu, Nannan Wang, Xiaohe Dang, Minyi Zhao, Juan Zhao, Ding Ma, Xiaofeng Yang

“…All differences were statistically significant (p &lt; 0.05). Multivariable analysis identified hyperlipidemia as an independent risk factor for PFS (hazard ratio [HR] = 2.083; 95% CI:1.726–2.514; p &lt; 0.001) and OS (HR = 2.158; 95% CI:1.746–2.666; p &lt; 0.001), whereas hypoalbuminemia and anemia were not confirmed as independent prognostic factors. …”
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Dynamics of HDL-Cholesterol Following a Post-Myocardial Infarction Cardiac Rehabilitation Program by Carlos Bertolín-Boronat, Héctor Merenciano-González, Víctor Marcos-Garcés, María Luz Martínez-Mas, Josefa Inés Climent Alberola, Nerea Pérez, Laura López-Bueno, María Concepción Esteban-Argente, María Valls Reig, Ana Arizón Benito, Alfonso Payá Rubio, César Ríos-Navarro, Elena de Dios, Jose Gavara, Juan Sanchis, Vicente Bodi

“…Patients achieving normal HDL-C levels (>40 mg/dL in men and >50 mg/dL in women) significantly increased from 34.7% at admission to 52.9% the end of Phase 2. Multivariable analysis revealed smoking history (hazard ratio [HR] = 0.35, 95% confidence interval [CI], 0.11–0.96, p = 0.04), increased reduction in total cholesterol (HR = 0.94, 95% CI, 0.89–0.98, p = 0.004), and increased reduction in LDL-C (HR = 0.94, 95% CI, 0.89–0.99, p = 0.01) were inversely associated with failure to increase HDL-C levels. …”
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