Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential benefits and limitations by Zyad T. Saleh, Majdi Rababa, Rami A. Elshatarat, Muna Alharbi, Bandar Naffaa Alhumaidi, Majed S. Al-Za’areer, Reem Ahmad Jarrad, Tahany Fareed Al Niarat, Wesam T. Almagharbeh, Khaled Mohammed Al-Sayaghi, Doaa El Sayed Fadila

“…Methods The study surveyed nursing faculty from Jordan and the United States using a self-reported questionnaire. Data were analyzed using descriptive statistics and Multivariate Analysis of Covariance to assess variations in perceptions based on AI chatbot usage frequency and faculty characteristics. …”
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Patient Perceptions of Radiation Therapy Prior to Initial Consultation With a Radiation Oncologist by Jennifer Novak, MD, MS, Colton Ladbury, MD, Tariq Abuali, BS, Andrew Tam, MD, Jeffrey Brower, MD, PhD, Brett Evans, BS, Virginia Sun, PhD, RN, Matthew J. Loscalzo, LCSW, Arya Amini, MD

“…Survey items were scored descriptively through summary statistics. Relationships between respondent variables and responses to survey questions were analyzed by univariate and multivariate logistic regression. …”
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Intracranial stenting with the Neuroform Atlas Stent for symptomatic intracranial atherosclerotic stenosis: a bi-center retrospective analysis including stroke recurrence nomogram by Weicheng Peng, Haiyang Ma, Xinli Xiang, Rui Zhao, Meng Lv, Sheng Xu, Yuhua Jiang, Zhiqiang Hu, Feng Guan

“…The stenosis rate was statistically significant between T0 and T1 (p < 0.01) and between T0 and T2 (p < 0.01). …”
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Coping Strategies for Adverse Effects of Antiretroviral Therapy among Adult HIV Patients Attending University of Gondar Referral Hospital, Gondar, Northwest Ethiopia: A Cross-Secti... by Yitayih Kefale Gelaw, Boressa Adugna, Adino Tesfahun Tsegaye, Tadesse Melaku, Belayneh Kefale

“…Data were entered to Epi-Info 3.5.4 and analyzed using SPSS-20.0. Descriptive statistics were used to summarize patient’s sociodemographic data and the adverse effects of their ART regimen. …”
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Association between systemic immune-inflammation index and mortality in critically ill patients with chronic obstructive pulmonary disease: insights from the MIMIC-IV database by Mohan Giri, Anju Puri, Lan Huang, Shuliang Guo

“…The trend test across quartiles showed a statistically significant positive association between higher SII levels and increased mortality risk in all models. …”
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Attitudes, knowledge, and practices of Turkish dentists regarding HIV/AIDS: a cross-sectional study by Ilkay Akbulut, Zeynep Sedef Varol, Sarp Singil, Ilker Ödemiş, Sabri Atalay, Hüsnü Pullukçu, A. Deniz Gökengin

“…In total, the data from 383 dentists were analyzed using descriptive and inferential statistics. …”
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Relationship between Quality of Life and Nutritional Status on Chronic Kidney Disease Patients with Dialysis Type by Ratih Tri Kusuma Dewi, Wachid Putranto, Agung Susanto, Aryo Suseno, Bambang Purwanto, Rini Dwi Mangesti, Maia Thalia Giani, Muhammad Raditia Septian

“…Quality of Life (QoL) and nutritional status was assessed using validated kidney disease quality of life short form-36TM (KDQOL-36TM) and subjective global assesment (SGA) form. Data was analyzed statistically with independent T-test and Chi square, p value < 0.05 considered significant. …”
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HIV-related stressors and psychological functioning among adolescents living with perinatal HIV in KwaZulu-Natal, South Africa by Thabani Nyoni, Thabani Nyoni, Wendy Auslander

“…The sample included 315 APHs (aged 9–15) and their caregivers. Descriptive statistics assessed psychological functioning and HIV-related stressors. …”
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Exclusive Breastfeeding Practice and Associated Factors among Mothers in Boditi Town, Wolaita Zone, Southern Ethiopia, 2018: A Community-Based Cross-Sectional Study by Gedion Asnake Azeze, Kelemu Abebe Gelaw, Natnael Atnafu Gebeyehu, Molalegn Mesele Gesese, Taklu Marama Mokonnon

“…The data were entered using Epi Data version 3.1 and analyzed using SPSS version 20. Descriptive statistics was made. …”
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The research of the relationship between serum uric acid level and all-cause mortality at the beginning of maintenance hemodialysis and one year after diagnosis in hemodialysis pat... by DUAN Rui-qiu, ZHAO Wei, ZHAO Hai-dan

“…Objective To study the relationship between average serum uric acid level and all-cause mortality in maintenance hemodialysis patients at a single center at the beginning of dialysis and 1 year after dialysis.Methods A retrospective cohort study was conducted to observe 122 patients with end-stage kidney disease.The observation period was 5 years.The data of average serum uric acid,albumin,serum calcium,serum phosphorus,hemoglobin and so on were collected at the beginning of dialysis and 3 months,6 months,9 months and 1 year after dialysis.The change trend of serum uric acid was analyzed.According to the levels of uric acid in different periods,the patients were divided into hyperuricemia group(male> 420 μmol/L,female>360 μmol/L)and normal uric acid group(male≤420 μmol/L,female≤360 μmol/L).Kaplan-Meier was used to analyze the difference of all-cause mortality between the high and normal uric acid groups in different periods,and COX regression analysis was used to analyze whether uric acid level is an independent risk factor for all-cause death.Results During the 5-year observation 35 of 122 patients died,with a mortality rate of 28.7%.The average serum uric acid level at the beginning of hemodialysis was(456±121)μmol/L,and the average serum uric acid level one year after dialysis was(409±76)μmol/L,with statistically significant difference(P<0.05).According to the level of uric acid at the beginning of dialysis,there was no difference in all-cause mortality between high uric acid group and normal uric acid group(P=0.125).According to the mean uric acid level one year after hemodialysis,the all-cause mortality of the high uric acid levelgroup was lower than the normal uric acid levelgroup(P=0.004).Multivariate COX regression analysis suggested that after rectifying for age,sex,albumin,creatinine and Kt/V,hyperuricemia was an independent protective factor for all-cause death,and its odd ratio was 0.320 times the normal uric acid.At the same time,the patients in the high uric acid group are younger and the serum creatinine level is higher than that in normal uric acid group,with rectifying differences.Conclusions Patients with end-stage renal disease usually have a high level of uric acid at the beginning of hemodialysis and can reach a stable level one year after hemodialysis.Patients with high and normal uric acid levels have no difference in mortality at the beginning of dialysis.Patients with high uric acid have a higher survival rate when they are grouped by uric acid levels one year after hemodialysis.…”
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Risk factors for growth retardation in children with juvenile idiopathic arthritis: a case-control study by Ying Zhang, Liping Song, Weihu Ma, Ye Wang, Peipei Wang, Xiaolin Zhang, Zhe Zhang, Yuan Zhang, Qianhui Yu, Yang Yu, Lin Zhang

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Intraoperative radiotherapy: An alternative to whole‐breast external beam radiotherapy in the management of highly selective breast cancer: A SEER database analysis by Dexun Sun, Guanhua Lu, Fenmei Liang, Wangjian Zhang, Tao Zeng, Yun Ling, Haojie Peng, Ting Xia, Meilin Hu, Xinxin Chen

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Frailty as a predictor of postoperative morbidity and mortality in older patients undergoing emergency laparotomy: a prospective cohort study in Yemen by Waleed Mohammed Gilan, Yasser Abdurabo Obadiel, Ameen Fuad Hashem, Shehab Abdulhameed Aiash, Haitham Mohammed Jowah

“…The outcomes included complications, length of stay (LOS), and 30-day mortality. Data were analyzed using descriptive statistics, chi-square/Fisher’s exact tests, t-test/Mann–Whitney U tests, Kaplan–Meier survival analysis, and logistic regression. …”
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Factors Associated with Acute Kidney Injury among Children with Severe Malaria at Kiryandongo General Hospital, Uganda by Lokengama Kwambele, Grace Ndeezi, Yamile Arias Ortiz, Sabinah Twesigemuka, Martin Nduwimana, Walufu Ivan Egesa, Patrick Kumbowi Kumbakulu, Yves Tibamwenda Bafwa

“…Blood samples were tested for creatinine and blood smear for malaria. Data were analyzed using binary logistic regression (bivariate and multivariate) to assess for the factors associated with AKI. …”
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Association of the total cholesterol to high-density lipoprotein cholesterol ratio with all-cause mortality risk in the migraine population by Zhao-Xuan Lu, Bing-Qing Dong, Liang Chen, Heng-Le Wei

“…TC/HDL-C ratio was categorized into two groups based on thresholds derived from RCS and the maximally selected rank statistics method (MSRSM). Weighted multivariate Cox regression models were used to assess associations, adjusting for demographic variables, comorbidities, and inflammatory markers. …”
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Effect of potent nucleos(t)ide analog on alpha fetoprotein changes and occurrence of hepatocellular carcinoma in patients with chronic hepatitis B by Qianqian Ma, Junzhao Ye, Ling Luo, Yanhong Sun, Wei Wang, Shiting Feng, Bing Liao, Bihui Zhong

“…The difference in the cumulative incidence of AFP abnormalities and HCC was statistically significant between patients who received ETV or TDF therapy. …”
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Method for predicting the risk of type 2 diabetes mellitus development in persons with visceral obesity and prediabetes by Yulia V. Nelaeva, Alsu A. Nelaeva, Anna E. Yuzhakova, Ivan M. Petrov, Igor F. Sholomov

“…Clinical and laboratory data of 330 patients were analyzed. Multivariate regression and cosinor analysis determined the most sensitive parameters influencing the development of DM 2. …”
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Prevalence of malaria, anemia and associated factors among school children in Hawassa city, Sidama, Ethiopia. by Alia Gena, Solomon Asnake, Tadesse Menjetta

“…A digital hemoglobinometer was used to determine hemoglobin levels and assess anemia prevalence. Data were analyzed using SPSS version 27, with bivariate and multivariate logistic regression performed. …”
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A study on metabolic healthy obesity and its risk of chronic kidney disease by LIANG Qiao-jing, ZHANG Guo-juan, HUANG Wen, JIANG Li-ping, WANG Ning-li

“…Objective Metabolic healthy obesity is a special phenotype with normal metabolic state and insulin sensitivity.Whether this type of obesity increases the risk of chronic kidney disease is unclear.The purpose of this study was to investigate the relationship between metabolic healthy obesity and the risk of chronic kidney disease(CKD).Methods With the population in rural region of Handan,Hebei Province as the study object for a cross-sectional study,with BMI≥25 kg/m~2 defined as obesity,by defining metabolic syndrome with the diagnosis criteria in the third report of the adult group in the national cholesterol education plan,the study population was divided into four groups:MHNO(Metabolically Healthy Nonobesity),MHO(Metabolically Healthy Obesity)and MUNO(Metabolically Unhealthy Nonobesity),MUO(Metabolically Unhealthy aspect).The prevalence of chronic kidney disease in each group was summarized and risk factors of CKD were analyzed by Logistic model.Results A total of 5 429 subjects were enrolled in this study,the prevalence of CKD was 17.5%,and the MHO group had 770 subjects,accounting for 34.4% of the obesity population.Compared with the MHNO group,the level of urinary protein in the MHO group was lower(21.14±58.83 vs.31.37±180.67,P=0.026),and there were no statistically significant differences between the two groups in eGFR(98.04±15.29 vs.98.17±13.92,P=0.822)and the prevalence of CKD(14.7% vs.15.2%,P=0.769).The multivariate Logistic regression model showed that the risk factors for CKD included age,female,metabolic syndrome and coronary heart disease.With the MHNO group as reference,the OR for CKD in the MHO group was 0.96(95%CI 0.762～1.211,P=0.731),and ORs in the MUNO group and MUO group were 1.478(95%CI 1.233～1.788,P=0.000)and 1.381(95%CI 1.161～1.644,P=0.000),respectively.After correcting age,sex and factors of coronary heart disease,the OR in the MHO group was 0.961(95%CI 0.760～1.215,P=0.737),and the values in the MUNO group and MUO group were 1.240(95%CI 1.012～1.518,P=0.038)and 1.234(95%CI 1.028～1.480,P=0.024),respectively.Conclusions There is no significant correlation between metabolically healthy obesity and CKD,and the risk of CKD in metabolically healthy obese population is similar to that in metabolically healthy and normal-weight population.Metabolic syndrome is significantly associated with an increased risk of chronic kidney disease,and the risk of chronic kidney disease is significantly higher in the population with metabolic abnormalities and normal weight than in the one with metabolic health and obesity.…”
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Pengaruh Faktor Emosional Pengguna Terhadap Kesesuaian User Interface pada Sistem Informasi Benih Induk Jeruk di Balitjestro Menggunakan Kansei Engineering by Sobirin Nurfauzi, Akhmad Adi Sulianto, Sandra Malin Sutan, Agus Sugiyatno

“…The stages of this research consisted of two stages, namely designing a citrus seed management information system and designing three examples of display designs using a questionnaire to 34 consumers spread across several regions in Indonesia (farmers or breeders and official offices) and 14 employees at Balitjestro then analyzed using statistics. multivariate, namely Coefficient Correlation Analysis, Cronbach's Alpha, Principal Component Analysis and Factor Analysis. …”
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