Characteristics of lupus patients admitted to a major rheumatology center in Malaysia

2020 ◽  
pp. 1-4
Keyword(s):  
Disease Activity ◽  
Lupus Erythematosus ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Asian Countries ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Poor Outcomes ◽  
Considerable Morbidity

Background: Systemic lupus erythematosus (SLE) admission can cause considerable morbidity, mortality and healthcare utilization. SLE generally develops in younger patients who are in their most productive years. That said, it is pivotal to determine predictors for poor outcomes (disability and mortality) from SLE hospitalization especially among highly developing Asian countries like Malaysia. Methods: Our retrospective cross-sectional study involved adults aged 12 years and above with underlying SLE who were admitted to the medical ward of our hospital between January 2018-December 2018. Results: This study demonstrated that infection and lupus flare are the main causes of hospitalization. Nearly one-fifth (18.9%) of lupus hospitalization had poor outcomes. Multivariate logistic regression analysis revealed that high disease activity (OR=1.15, 95% CI 1.05-1.47, p=0.001) and concurrent flare with infection (OR=1.10, 95% CI 1.02-1.53, p=0.007) at hospitalization were remarkably associated with poor outcome at discharge. Conclusion: Optimization of disease activity and infection control during outpatient’s visits is crucial to improve hospitalization outcome.

scholarly journals Correlation Between Cognitive Function with Disease Activity of Systemic Lupus Erythematosus Patients in Dr. Hasan Sadikin Hospital Bandung: An Analytical Cross-Sectional Study

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Aep Saepudin ◽  
Paulus Anam Ong ◽  
Syarief Hidayat ◽  
Andri Reza Rahmadi ◽  
Laniyati Hamijoyo
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cognitive Function ◽  
Disease Activity ◽  
Cognitive Dysfunction ◽  
Lupus Erythematosus ◽  
Cross Sectional Study ◽  
Median Score ◽  
Sectional Study ◽  
Systemic Lupus ◽  
Cross Sectional

Background: Cognitive dysfunction was found in 55-80% Neuropsychiatry Systemic Lupus Erythematosus (NPSLE) patients. Serious concern from clinicans was needed as its impact to patient’s quality of life. Disease activity is expected to be affecting patient’s cognitive function. Previous studies regarding correlation between disease activity and cognitive dysfunction showed various results. This study aimed to evaluate the correlation between disease activity and cognitive function in SLE patients.Methods: This study is an analytical cross-sectional study. Subjects were SLE patients at the rheumatology clinic of Dr. Hasan Sadikin Hospital Bandung during June-August 2017. Subject’s evaluations included disease activity assessment using SLE disease activity index-2K (SLEDAI-2K) and cognitive function assessment using MoCA-Ina test. Data were analyzed by using Spearman Rank correlation test. Results: Mean age of the subjects was 31 ± 8 years old, most of them were senior high school graduates (65.8 %) and median length of study was 12 years. Subject’s median duration of illness was 44 months. Their MoCA-Ina median score was 25, while SLEDAI-2K median score was 6. Cognitive dysfunctions were found in more than half of subjects (52.63%), which memory domain (78.95%) was most frequently impaired. Most of subjects were patients with active SLE (63.2%). Correlation test showed there was no correlation between SLEDAI-2K score and MoCA-Ina score (rs=0.023, p=0.445).Conclusion: There was no correlation between disease activity (SLEDAI-2K score) and cognitive function (MoCA-Ina score). Keywords: Cognitive dysfunction, MoCA-Ina, Systemic lupus erythematosus, SLEDAI-2K

scholarly journals Serum albumin was negatively associated with diabetic peripheral neuropathy in Chinese population: a cross-sectional study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Pijun Yan ◽  
Qian Tang ◽  
Yuru Wu ◽  
Qin Wan ◽  
Zhihong Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Peripheral Neuropathy ◽  
Serum Albumin ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Chinese Patients ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Abstract Background Previous studies that explored the relationship of serum albumin with diabetic peripheral neuropathy (DPN) have indicated inconsistent results. Thus, the present study aimed to evaluated the association between serum albumin and DPN, defined as vibration perception threshold (VPT) values ≥ 25 V and/or inability to feel the monofilament, in Chinese patients with type 2 diabetes mellitus (T2DM). Methods 1465 T2DM patients aged ≥ 16 years, who completed the measurement of serum albumin and DPN screening between 2012 and 2015, were included in the cross-sectional study. Correlation and multivariate logistic regression analysis models were used to evaluate the possible relationship between serum albumin and DPN. Results Patients with higher quartiles of serum albumin had significantly lower VPT values and prevalence of DPN compared with those with lower quartiles (P for trend < 0.01), and there was an inverse relationship between serum albumin and VPT values and prevalence of DPN (all P < 0.01). Multivariate logistic regression analysis demonstrated that the risk of DPN was progressively decreased across serum albumin quartiles (P for trend < 0.01), and participants in the highest quartile of serum albumin were at a significantly decreased risk of DPN compared to those in the lowest quartile (odds rate: 0.311, 95% confidence intervals 0.134–0.724, P < 0.01). ROC analysis revealed that the optimal cutoff point of serum albumin for the prevalence of DPN was 39.95 g/L in patients with T2DM, with a sensitivity of 65.88% and a specificity of 66.7%. Conclusions Decreased levels of serum albumin might be correlated with increased risk of DPN in Chinese patients with T2DM. Future longitudinal studies with large samples are warranted to confirm our findings, and elucidate putative mechanisms for the association.

scholarly journals A predictive nomogram: a cross-sectional study on a simple-to-use model for screening 12-year-old children for severe caries in middle schools

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaoying Duan ◽  
Meng Li ◽  
Jialiang Zhao ◽  
Huiyu Yang ◽  
Jinfeng He ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Validation ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Dental Professionals

Abstract Background A nomogram is a tool that transforms complex regression equations into simple and visual graphs and enables clinicians and patients to conveniently compute output probabilities without needing medical knowledge and complex formulas. The aim of this study was to develop and validate a predictive nomogram to screen for severe caries among 12-year-old children based on risk factors in Sichuan Province, China. Methods A cross-sectional study of 4573 12-year-olds was conducted up to May 2016 in middle schools from three districts and three counties in Sichuan Province, China. All the children underwent oral examinations and completed questionnaires to assess general information, oral impacts on daily performance, dietary habits, subjective health conditions, history of dental trauma, frequency of toothache, dental visits, and knowledge, attitudes, and behaviours toward oral hygiene. Univariate analysis and multivariate logistic regression analysis were used to determine which variables were significantly associated with severe caries (operationalized as DMFT ≥ 3). A nomogram was developed and validated by using the ‘rms’ package and two cross-validation methods. Results Severe caries was found in 537 of the 4573 children (11.74%). Multivariate logistic regression analysis revealed that the following variables predicted a higher risk of severe caries: ‘female’ [odds ratio (OR) = 1.985, 95% confidence interval (95% CI): 1.63–2.411], ‘urban’ (OR = 2.389, 95% CI: 1.96–2.91), ‘non-only child’ (OR = 1.317, 95% CI: 1.07–1.625), ‘very poor self-assessment of oral health status’ (OR = 2.157, 95% CI: 1.34–3.467) and ‘visited a dentist less than 6 months’ (OR = 1.861, 95% CI: 1.38–2.505). Multivariate logistic regression analysis also indicated that the following variables predicted a lower risk of severe caries: ‘middle level of urbanization’ (OR = 0.395, 95% CI: 0.32–0.495) and ‘high level of urbanization’ (OR = 0.466, 95% CI: 0.37–0.596). Both the fivefold and leave-one-out cross-validation methods indicated that the nomogram model built by these 6 variables displayed good disease recognition ability. Conclusions The nomogram was a simple-to-use model to screen children for severe caries. This model was found to facilitate non-dental professionals in assessing risk values without oral examinations and making referrals to dental professionals.

scholarly journals Are presbyopes willing to pay for spectacles? A Cross-sectional study’’

2019 ◽  
Author(s):  
Haile Woretaw Alemu ◽  
Anthony Carlson
Keyword(s):  
Willingness To Pay ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Monthly Income ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
History Of ◽  
The Mean ◽  
South Gondar

Abstract Objective Cross-sectional study design were used to assess willingness to pay for spectacles among south Gondar presbyopic population.Results Of the total 322 people participating in the study, only 53.4% (172) were experienced by spectacles users. The median gross monthly income of participants was US$ 75.0 (ranged US$ 7.1 - 321.4) and the mean amount of money willing to pay for a pair of spectacles was US$ 17.9 (ranged US$ 1.1-107.1). Participants who were willing to pay US$ 12.5 for a pair of spectacles from a government optical accounted for 63.0% (95% CI: 57.8-68.3), while those willing to pay the minimum international pair of spectacle price US$ 5.6 were accounted 73.9% (95% CI: 68.9-79.2%) and spectacle from local private optical price US$ 17.8 accounted 46.6% (95% CI: 40.4-52.2). Multivariate logistic regression analysis indicated factors such as age (P=0.049), occupation (0.001), monthly income (0.001) and history of the previous spectacle wear (0.005) to be significantly associated with willingness to pay for a pair of spectacles. Public willingness to pay for a pair of spectacle has to be supported with the accessible provision of spectacles to increase spectacle coverage among presbyopic individuals.

scholarly journals Comprehensive Hospitals Nurses’ Cognition on Palliative Care in Shandong Province, China: A Cross-Sectional Study

2021 ◽  
Author(s):  
Hailing Yang ◽  
Meimei Shang ◽  
Chunhua Sun ◽  
Lihua Li ◽  
Chao Wang
Keyword(s):  
Palliative Care ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Shandong Province ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Nursing Knowledge

Background: Palliative care is an essential part of medical practice, however, it has developed slowly in China. We aimed to analyze the current situations of the cognition on palliative care among the nurses in Shandong Province, China. Methods: This was a cross sectional study. Investigation of 1050 nurses came from 5 third-class hospitals and 5 second-class hospitals in Shandong Province, China from Jul to Oct in 2018. The questionnaire included 4 parts: general information of the subject, the questionnaire of palliative nursing knowledge, attitude, and the behavior. Data were collected by the APP. Overall, after eliminating the invalid questionnaires, 1026 questionnaires were included in the final analyses. The software Stata 14.2 was used for all statistical analyses. Results: The score of knowledge and attitude was low, the practice was higher. Multivariate analysis results: the significant independent variables of univariate analysis were included in the multivariate non-conditional logistic regression model for analysis. Some departments had statistical significance in knowledge multivariate Logistic regression analysis. The multivariate logistic regression analysis of practice was significant for physical health and religious beliefs. The statistical variables of the total score of cognition were gender, age of care, health status and religious beliefs. Conclusion: Nursing knowledge is lacking and attitude remains to be improved as soon as possible. It is vital to improve the cognition of palliative care of nurses in Shandong general hospitals by developing relevant rules and regulations, strengthening the supervision of relevant ant departments, and enhancing training for nurses.  

scholarly journals Association between Helicobacter pylori Infection and Diabetes: A Cross-Sectional Study in China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Sailimai Man ◽  
Yuan Ma ◽  
Cheng Jin ◽  
Jun Lv ◽  
Mingkun Tong ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Subgroup Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Increased Risk ◽  
H Pylori

Background. Studies suggest an association between H. pylori infection and extragastrointestinal disease. Limited studies provided conflicting results on the association between H. pylori infection and diabetes. The present study was aimed at examining the association between H. pylori infection and diabetes in a large health checkup population in China. Methods. A cross-sectional study was conducted; participants who attended health checkups at Beijing MJ Health Screening Center during 2017-2018 were included. H. pylori infection was diagnosed by 13C-urea breath test. Multivariate logistic regression analysis was performed to evaluate the association between H. pylori infection and diabetes. Results. The mean age of 13,397 participants was 43.8±12 years. The prevalence of H. pylori infection and diabetes was 28.2% and 8.1%, respectively. The prevalence of diabetes was higher among H. pylori-positive participants compared with their counterparts (8.9% vs 7.8%, p=0.05). After adjustment of age, sex, family history of diabetes, smoking, education, stroke, coronary heart disease, BMI, SBP, TG, HDL-C, and LDL-C, multivariate logistic regression analysis found no association between H. pylori infection and diabetes (OR 1.02, 95% CI 0.88-1.18). Additionally, subgroup analysis indicated that H. pylori infection was significantly associated with increased risk of diabetes in the female group (OR 1.09, 95% CI 1.08-1.09). Conclusions. No significant association was found between H. pylori infection and diabetes. However, the subgroup analysis suggested that H. pylori infection was possibly associated with increased risk of diabetes among females. Future cohort studies are needed to verify this association in females and to address possible implication in the prevention of diabetes.

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