scholarly journals Late Acute Kidney Injury is a Poor Prognosis Sign in Severe Burns: A Retrospective Cohort Study

2020 ◽  
Author(s):  
Bo You ◽  
Zi Chen Yang ◽  
Yu Long Zhang ◽  
Yu Chen ◽  
Yun Long Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Multiple Logistic Regression Analysis ◽  
Kidney Injury ◽  
Occurrence Rate ◽  
Severe Burns ◽  
Epidemiological Characteristics

Abstract BackgroundAcute kidney injury (AKI) is a morbid complication and the main cause of multiple organ failure and death in severely burned patients. The objective of this study was to explore the epidemiological characteristics, the risk factors, and impact of both early and late AKIs, respectively.MethodsThis retrospective study was performed with prospectively collected data of severely burned patients from the Institute of Burn Research in Southwest Hospital during 2011-2017. AKI was diagnosed according to Kidney Disease Improving Global Outcomes (KDIGO) criteria (2012), and it was divided into early and late AKIs depending on its onset time (within the first 3 days or >3 days post burn). The baseline characteristics, clinical data, and outcomes of the three groups (early AKI, late AKI and non-AKI) were compared using logistic regression analysis. Mortality predictors of patients with AKI were assessed.ResultsA total of 637 patients were included in analysis. The incidence of AKI was 36.9% (early AKI 29.4%, late AKI 10.0%). The mortality of patients with AKI was 32.3% (early AKI 25.7%, late AKI 56.3%), and that of patients without AKI was 2.5%. AKI was independently associated with obviously increased mortality of severely burned patients [early AKI, OR = 12.98 (6.08-27.72); late AKI, OR = 34.02 (15.69-73.75)]. Multiple logistic regression analysis revealed that age, gender, total burn surface area (TBSA), full-thickness burns of TBSA, chronic comorbidities (hypertension or/and diabetes), hypovolemic shock of early burn, and tracheotomy were independent risk factors for both early and late AKIs. However, sepsis was only a risk factor for late AKI. Decompression escharotomy was a protective factor for both AKIs. ConclusionsAKI remains prevalent and is associated with high mortality in severely burned patients. Compared with early AKI, late AKI has a lower occurrence rate, but greater severity and worse prognosis，is a devastating complication. Late AKI is a poor prognosis sign in severe burns.

scholarly journals Risk Factors of Atrial Arrhythmia in Patients With Liver Cirrhosis: A Retrospective Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiya Lu ◽  
Zhijing Wang ◽  
Liu Yang ◽  
Changqing Yang ◽  
Meiyi Song
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Liver Cirrhosis ◽  
Retrospective Study ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Clinical Information ◽  
Atrial Arrhythmia

Background and Objectives: Liver cirrhosis is known to be associated with atrial arrhythmia. However, the risk factors for atrial arrhythmia in patients with liver cirrhosis remain unclear. This retrospective study aimed to investigate the risk factors for atrial arrhythmia in patients with liver cirrhosis.Methods: In the present study, we collected data from 135 patients with liver cirrhosis who were admitted to the Department of Gastroenterology at Shanghai Tongji Hospital. We examined the clinical information recorded, with the aim of identifying the risk factors for atrial arrhythmia in patients with liver cirrhosis. Multiple logistic regression analysis was used to screen for significant factors differentiating liver cirrhosis patients with atrial arrhythmia from those without atrial arrhythmia.Results: The data showed that there were seven significantly different factors that distinguished the group with atrial arrhythmia from the group without atrial arrhythmia. The seven factors were age, white blood cell count (WBC), albumin (ALB), serum Na+, B-type natriuretic peptide (BNP), ascites, and Child-Pugh score. The results of multivariate logistic regression analysis suggested that age (β = 0.094, OR = 1.098, 95% CI 1.039–1.161, P = 0.001) and ascites (β =1.354, OR = 3.874, 95% CI 1.202–12.483, P = 0.023) were significantly associated with atrial arrhythmia.Conclusion: In the present study, age and ascites were confirmed to be risk factors associated with atrial arrhythmia in patients with liver cirrhosis.

scholarly journals 447 - Risk factors associated with sleep disturbance in a general elderly Japanese population: The Arao Cohort Study

2020 ◽  
Vol 32 (S1) ◽  
pp. 167-167
Author(s):  
Kazuki Honda ◽  
Tomohisa Ishikawa ◽  
Ryuji Fukuhara ◽  
Seiji Yuki ◽  
Yusuke Miyagawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Sleep Disturbance ◽  
Logistic Regression Analysis ◽  
Barthel Index ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Factors Associated

[Background]Sleep disturbance is a common symptom in elderly people. However, the associated risk factors have not been completely clarified. We examined possible risk factors associated with sleep disturbance in a community-based Japanese cohort study.[Methods]1521 community-dwelling individuals aged 65 years or older were selected from a consecutive series at a cohort study from 2016 to 2018 in Arao city, where located at south part of Japan. In this survey, the clinical valuables were collected as follows: age, sex, occupational status, education, lifestyle information, medical history, EuroQoL(EQ)-5D (a score of health-related quality of life [QOL]), Barthel index (a score of performance in activities of daily living), a score of Geriatric Depression Scale (GDS) and a score of Mini-Mental State Examination (MMSE). Sleep disturbance was assessed by the Pittsburgh Sleep Quality Index (when the global score was 6 or over, sleep disturbance was determined to be present). Multiple logistic regression analysis was used to examine the association between clinical valuables and sleep disturbance. This research was supported by AMED (Japan Agency for Medical Research and Development) under Grant Number JP18dk0207025h0003 and has been approved by the research ethics committee of Kumamoto University. Informed consent was obtained from all participants and their family members.[Results]Multiple logistic regression analysis revealed that Parkinson disease (Odds ratio[OR]=5.59), living alone (OR=1.93), liver disease (OR=1.89), hyperlipidemia (OR=1.36), higher score of GDS (OR=1.14), lower scores of both EQ-5D index (OR=1.11) and Barthel index (OR=1.03) were significantly associated as risk factors with sleep disturbance. Unexpectedly, lower score of MMSE was not a significant risk factor.[Conclusion]These results suggest that several physical illnesses, solitude, depressive symptoms and lower QOL, but not cognitive impairment, might be crucial risk factors associated with sleep disturbance in elderly population.

scholarly journals Impact of the COVID-19 pandemic on the development of locomotive syndrome

2021 ◽  
Vol 29 (3) ◽  
pp. 230949902110609
Author(s):  
Hidetomi Terai ◽  
Yusuke Hori ◽  
Shinji Takahashi ◽  
Koji Tamai ◽  
Masayoshi Iwamae ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Musculoskeletal Disorders ◽  
Logistic Regression Analysis ◽  
Multinomial Logistic Regression ◽  
Multiple Logistic Regression Analysis ◽  
Locomotive Syndrome ◽  
Exercise Habits ◽  
Multinomial Logistic Regression Analysis

Background The coronavirus disease 2019 (COVID-19) pandemic has affected people in various ways, including restricting their mobility and depriving them of exercise opportunities. Such circumstances can trigger locomotor deterioration and impairment, which is known as locomotive syndrome. The purpose of this study was to investigate the incidence of locomotive syndrome in the pandemic and to identify its risk factors. Methods: This was a multicenter questionnaire survey performed between 1 November 2020 and 31 December 2020 in Japan. Patients who visited the orthopedics clinic were asked to answer a questionnaire about their symptoms, exercise habits, and locomotor function at two time points, namely, pre-pandemic and post-second wave (current). The incidence of locomotive syndrome in the COVID-19 pandemic was investigated. Additionally, multiple logistic regression analysis was used to identify the risk factors for developing locomotive syndrome during the pandemic. Results: A total of 2829 patients were enrolled in this study (average age: 61.1 ± 17.1 years; 1532 women). The prevalence of locomotive syndrome was 30% pre-pandemic, which increased significantly to 50% intra-pandemic. Among the patients with no symptoms of locomotive syndrome, 30% developed it in the wake of the pandemic. In the multinomial logistic regression analysis, older age, deteriorated or newly occurring symptoms of musculoskeletal disorders, complaints about the spine or hip/knee joints, and no or decreased exercise habits were independent risk factors for developing locomotive syndrome. Conclusions: The prevalence of locomotive syndrome in patients with musculoskeletal disorders has increased during the COVID-19 pandemic. In addition to age, locomotor symptoms, especially spine or hip/knee joint complaints, and exercise habits were associated with the development of locomotive syndrome. Although the control of infection is a priority, the treatment of musculoskeletal disorders and ensuring exercise habits are also essential issues to address during a pandemic such as COVID-19.

scholarly journals Elevated De Ritis Ratio as a Predictor for Acute Kidney Injury after Radical Retropubic Prostatectomy

2021 ◽  
Vol 11 (9) ◽  
pp. 836
Author(s):  
Jun-Young Park ◽  
Jihion Yu ◽  
Jun Hyuk Hong ◽  
Bumjin Lim ◽  
Youngdo Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Roc Curve ◽  
Kidney Injury ◽  
Radical Retropubic Prostatectomy ◽  
Multivariable Logistic Regression Analysis ◽  
Retropubic Prostatectomy

Acute kidney injury (AKI) is related to mortality and morbidity. The De Ritis ratio, calculated by dividing the aspartate aminotransferase by the alanine aminotransferase, is used as a prognostic indicator. We evaluated risk factors for AKI after radical retropubic prostatectomy (RRP). This retrospective study included patients who performed RRP. Multivariable logistic regression analysis and a receiver operating characteristic (ROC) curve analysis were conducted. Other postoperative outcomes were also evaluated. Among the 1415 patients, 77 (5.4%) had AKI postoperatively. The multivariable logistic regression analysis showed that estimated glomerular filtration rate, albumin level, and the De Ritis ratio at postoperative day 1 were risk factors for AKI. The area under the ROC curve of the De Ritis ratio at postoperative day 1 was 0.801 (cutoff = 1.2). Multivariable-adjusted analysis revealed that the De Ritis ratio at ≥1.2 was significantly related to AKI (odds ratio = 8.637, p < 0.001). Postoperative AKI was associated with longer hospitalization duration (11 ± 5 days vs. 10 ± 4 days, p = 0.002). These results collectively show that an elevated De Ritis ratio at postoperative day 1 is associated with AKI after RRP in patients with prostate cancer.

scholarly journals Risk Factors for Orbital Implant Extrusion after Evisceration

2021 ◽  
Vol 10 (15) ◽  
pp. 3329
Author(s):  
Ju-Mi Kim ◽  
Jae-Yun Sung ◽  
Hyung-Bin Lim ◽  
Eun-Jung Choi ◽  
Sung-Bok Lee
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Orbital Cellulitis ◽  
University Hospital ◽  
Endogenous Endophthalmitis ◽  
National University ◽  
Implant Size

This study analyzed risk factors for extrusion of orbital implants after evisceration by comparing patients with and without implant extrusion. Methods: We retrospectively reviewed the medical records of patients who underwent evisceration with primary implant placement by a single surgeon from January 2005 to December 2019 at the Chungnam National University Hospital. Age, sex, underlying systemic diseases, axial length of the fellow eye, the cause of evisceration, endophthalmitis type, implant type and size, and preoperative computed tomography findings were evaluated. Logistic regression analysis was used to identify the risk factors for implant extrusion. Results: Of the 140 eyes of 140 patients, extrusion occurred in five eyes (3.6%). Endophthalmitis (odds ratio (OR), 15.49; 95% confidence interval (CI), 1.70 to 2038.56; p = 0.010), endogenous endophthalmitis (OR, 18.73; 95% CI, 3.22 to 125.21, p = 0.002), orbital cellulitis (OR, 320.54; 95% CI, 29.67 to 44801.64; p < 0.001), implant size (OR, 0.50; 95% CI, 0.30 to 0.79; p = 0.004), and hydroxyapatite for the implant (OR, 0.07; 95% CI, 0.00 to 0.66; p = 0.016) were risk factors for implant extrusion in univariate logistic regression analysis. Multiple logistic regression analysis identified orbital cellulitis as the only risk factor for extrusion (OR, 52.98; 95% CI, 2.18 to 15367.34; p = 0.009). Conclusions: Evisceration with primary orbital implantation is a feasible option in endophthalmitis, but the risk of extrusion should be taken into consideration. When performing evisceration in a patient with orbital cellulitis, secondary implantation should be carried out only after any infection is controlled.

scholarly journals Exploration of prognostic factors for critical COVID-19 patients using a nomogram model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Juan Li ◽  
Lili Wang ◽  
Chun Liu ◽  
Zhengquan Wang ◽  
Yi Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
Demographic Data ◽  
Multiple Logistic Regression Analysis ◽  
High Sensitivity ◽  
Advanced Age ◽  
Hs Crp

AbstractThe study aimed to explore the influencing factors on critical coronavirus disease 2019 (COVID-19) patients’ prognosis and to construct a nomogram model to predict the mortality risk. We retrospectively analyzed the demographic data and corresponding laboratory biomarkers of 102 critical COVID-19 patients with a residence time ≥ 24 h and divided patients into survival and death groups according to their prognosis. Multiple logistic regression analysis was performed to assess risk factors for critical COVID-19 patients and a nomogram was constructed based on the screened risk factors. Logistic regression analysis showed that advanced age, high peripheral white blood cell count (WBC), low lymphocyte count (L), low platelet count (PLT), and high-sensitivity C-reactive protein (hs-CRP) were associated with critical COVID-19 patients mortality risk (p < 0.05) and these were integrated into the nomogram model. Nomogram analysis showed that the total factor score ranged from 179 to 270 while the corresponding mortality risk ranged from 0.05 to 0.95. Findings from this study suggest advanced age, high WBC, high hs-CRP, low L, and low PLT are risk factors for death in critical COVID-19 patients. The Nomogram model is helpful for timely intervention to reduce mortality in critical COVID-19 patients.

scholarly journals Stunting Among Under 5-Year-Olds in Nepal: Trends and Risk Factors

2019 ◽  
Vol 24 (S1) ◽  
pp. 39-47 ◽  
Author(s):  
Shyam Sundar Budhathoki ◽  
Amit Bhandari ◽  
Rejina Gurung ◽  
Abhishek Gurung ◽  
Ashish KC
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Nutritional Status ◽  
Logistic Regression Analysis ◽  
Health Surveys ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Multiple Factors ◽  
Children Under 5

Abstract Introduction The nutritional status in the first 5 years of life has lifelong and inter-generational impacts on individual’s potential and development. This study described the trend of stunting and its risk factors in children under 5 years of age between 2001 and 2016 in Nepal. Methods The study used datasets from the 2001, 2006, 2011 and 2016 Nepal Demographic Health Surveys to describe the trend of stunting in under 5-year children. Multiple logistic regression analysis was carried out to assess the risk factors for stunting at the time of the four surveys. Results The nutritional status of under 5-year children improved between 2001 and 2016. Babies born into poorer families had a higher risk of stunting than those born into wealthier families (AOR 1.51, CI 95% 1.23–1.87). Families residing in hill districts had less risk of stunting than those in the Terai plains (AOR 0.75, CI 95% 0.61–0.94). Babies born to uneducated women had a higher risk of stunting than those born to educated women (AOR 1.57, CI 95% 1.28–1.92). Discussion Stunting among under-5-year children decreased in the years spanning 2001–2016. This study demonstrated multiple factors that can be addressed to decrease the risk of stunting, which has important implications for neurodevelopment later in life. We add literature on risk factors for stunting in under-5-year children.

scholarly journals Risk Factors for Poor Prognosis of Severe Infection in Children With Idiopathic Nephrotic Syndrome: A Double-Center, Retrospective Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Hengci Zhang ◽  
Shiyuan Qiu ◽  
Cheng Zhong ◽  
Lin Shi ◽  
Jiacheng Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Nephrotic Syndrome ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Idiopathic Nephrotic Syndrome ◽  
Severe Infection ◽  
Infection Group ◽  
Severe Infections

Background: Infection is the most common complication of Idiopathic Nephrotic Syndrome (INS) and the main cause of INS recurrence, severe infection and even leading to mortality. The purpose of this study was to investigate the risk factors of severe infection in INS children and the clinical parameters influencing prognosis.Methods: Totally 147 children with INS and concomitant infections were enrolled and classified into the severe infection group (SIG) and Non-severe infection group (Non-SIG). The clinical characteristics and auxiliary examination results were compared between the two groups, and the early-warning parameters for severe infection and risk factors for poor prognosis were evaluated.Results: There were 49 patients in the SIG, 98 patients in the Non-SIG. In the SIG, the most common severe infections disease included severe pneumonia (63.6%), severe sepsis (30.6%), septic shock (4.1%). In SIG, Gram-positive bacteria (GPB) were more common, as was respiratory syncytial virus (RSV), and the three most common strains were Pseudomonas aeruginosa, Staphylococcus aureus (SA) and Staphylococcus epidermidis. There were more steroid-resistant nephrotic syndrome and combination of steroids and immunosuppressants in SIG, compared with the Non-SIG (P = 0.000). Patients in the SIG has lower complement 3 (C3, ≤ 0.55 g/L,) and absolute lymphocyte count (ALC, ≤ 1.5 × 109/L) (P = 0.004). Logistic regression analysis revealed that the independent risk factors for severe infections were the combined use of immunosuppressants [95% confidence interval (CI):1.569–463.541, P = 0.023], steroid resistance (95% CI: 4.845–2,071.880, P = 0.003), C-reactive protein (CRP) ≥8 mg/L (95% CI: 43.581–959, 935.668, P = 0.001), and infections caused by GPB (95% CI: 27.126–2,118, 452.938, P = 0.002), influenza (95% CI: 2.494–1, 932.221, P = 0.012) and RSV (95% CI: 5.011–24 963.819, P = 0.007). The patients in the SIG were classified into the survival group (N = 39) and the mortality group (N = 5). Logistic regression analysis showed that white blood cell count (WBC) &gt;15 × 109/L (95% CI: 1.046–2.844, P = 0.033) was an independent risk factor of poor prognosis for these patients.Conclusions: Resistance to steroids, combined with steroids and IS agents, and GPB infections (especially SA) are high-risk factors for severe infection in children with INS. We should monitor CRP ≥ 8 mg/L, C3 ≤ 0.55 g/L and ALC ≤ 1.5 × 109/L to avoid developing severe infection. Accompanied by an increase in ANC, WBC significantly increased, suggesting a fatal infection.

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