scholarly journals Risk factors affecting the 1-year outcomes of minor ischemic stroke: results from Xi’an stroke registry study of China

2020 ◽  
Author(s):  
Zhongzhong Liu ◽  
Wenjuan Lin ◽  
Qingli Lu ◽  
Jing Wang ◽  
Pei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Nihss Score ◽  
Minor Ischemic Stroke ◽  
All Cause Mortality ◽  
Independent Risk Factors

Abstract Background: The prevalence of stroke recurrence, disability, and all-cause mortality of patients with minor ischemic stroke (MIS) remains problematic. The aim of the present study was to identify risk factors associated with adverse outcomes at 1 year after MIS in the Xi’an region of China. Methods: This prospective cohort study included MIS patients above 18 years old with National Institutes of Health Stroke Scale (NIHSS) score ≤ 3 who were treated in any of four hospitals in Xi’an region of China between January and December 2015. The 1-year prevalence of stroke recurrence, disability, and all-cause mortality were evaluated, respectively. Multivariate logistic regression analysis was performed to assess the association between the identified risk factors and clinical outcomes. Results: In this study, 131(10.5%，131/1252) patients were lost to follow-up at 1 year. A total of 1,121 patients included for analysis, the prevalence of stroke recurrence, disability, and all-cause mortality at 1 year after MIS were 3.4% (38/1121), 9.3% (104/1121), and 3.3% (37/1121), respectively. Multivariate logistic regression analysis identified age, current smoking, and pneumonia as independent risk factors for stroke recurrence. Age, pneumonia, and alkaline phosphatase were independent risk factors for all-cause mortality. Independent risk factors for disability were age, pneumonia, NIHSS score on admission, and leukocyte count. Conclusions: The 1-year outcomes of MIS in Xi’an region of China were not optimistic, especially with a high prevalence of disability. The present study indicated that age and pneumonia were the common independent risk factors affecting the 1-year outcomes of MIS in Xi’an region of China.

scholarly journals Risk factors affecting the 1-year outcomes of minor ischemic stroke: results from Xi’an stroke registry study of China

BMC Neurology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhongzhong Liu ◽  
Wenjuan Lin ◽  
Qingli Lu ◽  
Jing Wang ◽  
Pei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Nihss Score ◽  
Minor Ischemic Stroke ◽  
All Cause Mortality ◽  
Independent Risk Factors

Abstract Background The prevalence of stroke recurrence, disability, and all-cause mortality of patients with minor ischemic stroke (MIS) remains problematic. The aim of the present study was to identify risk factors associated with adverse outcomes at 1 year after MIS in the Xi’an region of China. Methods This prospective cohort study included MIS patients above 18 years old with National Institutes of Health Stroke Scale (NIHSS) score ≤ 3 who were treated in any of four hospitals in Xi’an region of China between January and December 2015. The 1-year prevalence of stroke recurrence, disability, and all-cause mortality were evaluated, respectively. Multivariate logistic regression analysis was performed to assess the association between the identified risk factors and clinical outcomes. Results In this study, 131(10.5%, 131/1252) patients were lost to follow-up at 1 year. A total of 1121 patients were included for analysis, the prevalence of stroke recurrence, disability, and all-cause mortality at 1 year after MIS were 3.4% (38/1121), 9.3% (104/1121), and 3.3% (37/1121), respectively. Multivariate logistic regression analysis identified age, current smoking, and pneumonia as independent risk factors for stroke recurrence. Age, pneumonia, and alkaline phosphatase were independent risk factors for all-cause mortality. Independent risk factors for disability were age, pneumonia, NIHSS score on admission, and leukocyte count. Conclusions The 1-year outcomes of MIS in Xi’an region of China were not optimistic, especially with a high prevalence of disability. The present study indicated that age and pneumonia were the common independent risk factors affecting the 1-year outcomes of MIS in Xi’an region of China.

scholarly journals Risk factors affecting the 1-year outcomes of minor ischemic stroke: results from Xi’an stroke registry study of China

2020 ◽  
Author(s):  
Zhongzhong Liu ◽  
Wenjuan Lin ◽  
Qingli Lu ◽  
Jing Wang ◽  
Pei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Nihss Score ◽  
Minor Ischemic Stroke ◽  
All Cause Mortality ◽  
Independent Risk Factors

Abstract Background: The prevalence of stroke recurrence, disability, and all-cause mortality of patients with minor ischemic stroke (MIS) remains problematic. The aim of the present study was to identify risk factors associated with adverse outcomes at 1 year after MIS in the Xi’an region of China. Methods: This prospective cohort study included MIS patients above 18 years old with National Institutes of Health Stroke Scale (NIHSS) score ≤ 3 who were treated in any of four hospitals in Xi’an region of China between January and December 2015. The 1-year prevalence of stroke recurrence, disability, and all-cause mortality were evaluated, respectively. Multivariate logistic regression analysis was performed to assess the association between the identified risk factors and clinical outcomes. Results: In this study, 131(10.5%，131/1252) patients were lost to follow-up at 1 year. A total of 1,121 patients were included for analysis, the prevalence of stroke recurrence, disability, and all-cause mortality at 1 year after MIS were 3.4% (38/1121), 9.3% (104/1121), and 3.3% (37/1121), respectively. Multivariate logistic regression analysis identified age, current smoking, and pneumonia as independent risk factors for stroke recurrence. Age, pneumonia, and alkaline phosphatase were independent risk factors for all-cause mortality. Independent risk factors for disability were age, pneumonia, NIHSS score on admission, and leukocyte count. Conclusions: The 1-year outcomes of MIS in Xi’an region of China were not optimistic，especially with a high prevalence of disability. The present study indicated that age and pneumonia were the common independent risk factors affecting the 1-year outcomes of MIS in Xi’an region of China.

scholarly journals Risk factors affecting the 1-year outcomes of minor ischemic stroke: results from Xi’an stroke registry study of China[1]

2020 ◽  
Author(s):  
Zhongzhong Liu ◽  
Wenjuan Lin ◽  
Qingli Lu ◽  
Jing Wang ◽  
Pei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Nihss Score ◽  
Minor Ischemic Stroke ◽  
Independent Risk Factors

Abstract Background: The incidences of stroke recurrence, disability, and all-cause death of patients with minor ischemic stroke (MIS) remain problematic. The aim of the present was to identify risk factors associated with adverse outcomes at 1-year after MIS in the Xi’an region of China. Methods: The cohort of this prospective cohort study included MIS patients aged 18–97 years with a National Institutes of Health Stroke Scale (NIHSS) score of ≤ 3 who were treated in any of four hospitals in Xi’an region of China between January and December 2015. The 1-year percentage of stroke recurrence, disability, and all-cause death were evaluated. Multivariate logistic regression analysis was performed to assess the association between the identified risk factors and clinical outcomes. Results: Among the 1,121 patients included for analysis, the percentage of stroke recurrence, disability, and all-cause death at 1 year after MIS were 3.4% (38/1121), 9.3% (104/1121), and 3.3% (37/1121), respectively. Multivariate logistic regression analysis identified age, current smoking, and pneumonia as independent risk factors for stroke recurrence. Age, pneumonia, and alkaline phosphatase were independent risk factors for all-cause death. Independent risk factors for disability were age, pneumonia, NIHSS score on admission, and leukocyte count. Conclusions: The 1-year outcomes of MIS is not optimistic in the Xi’an region of China, especially high percentage of disability. In this study, we found the risk factors affecting 1-year stroke recurrence, disability and, all-cause death which need further verification in the subsequent studies.

scholarly journals Risk factors Affecting the 1-year Outcomes of Minor Ischemic Stroke: Results from Xi’an Stroke Registry Study of China

2020 ◽  
Author(s):  
Zhongzhong Liu ◽  
Wenjuan Lin ◽  
Qingli Lu ◽  
Jing Wang ◽  
Pei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Clinical Outcomes ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Multivariate Logistic Regression ◽  
Nihss Score ◽  
Minor Ischemic Stroke ◽  
All Cause Mortality ◽  
Independent Risk Factors

Abstract Background: The incidences of stroke recurrence, disability, and all-cause mortality of patients with minor ischemic stroke (MIS) remain problematic. The aim of the present was to identify risk factors associated with adverse outcomes at 1-year after MIS in the Xi’an region of China. Methods: The cohort of this prospective cohort study included MIS patients aged 18–97 years with a National Institutes of Health Stroke Scale (NIHSS) score of ≤ 3 who were treated in any of four hospitals in Xi’an region of China between January and December 2015. The 1-year rates of stroke recurrence, disability, and all-cause mortality were evaluated. Multivariate logistic regression analysis was performed to assess the association between the identified risk factors and clinical outcomes. Results: Among the 1,121 patients included for analysis, the rates of stroke recurrence, disability, and all-cause mortality at 1 year after MIS were 3.4% (38/1121), 9.3% (104/1121), and 3.3% (37/1121), respectively. Multivariate logistic regression analysis identified age, current smoking, and pneumonia as independent risk factors for stroke recurrence. Age, pneumonia, and alkaline phosphatase were independent risk factors for all-cause mortality. Independent risk factors for disability were age, pneumonia, NIHSS score on admission, and leukocyte count. Conclusions: The 1-year outcomes of MIS is not optimistic in the Xi’an region of China. Early identification of risk factors for poor clinical outcomes, attention to high risk populations, and targeted interventions contribute to reducing the risk for poor clinical outcomes of patients at 1 year after onset of MIS.

scholarly journals Nomogram for Predicting Persistent Organ Failure with Acute Pancreatitis in Pregnancy

2022 ◽  
Author(s):  
Chengcheng Sheng ◽  
Zongxu Xu ◽  
Jun Wang
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Organ Failure ◽  
Multivariate Logistic Regression Analysis ◽  
Concordance Index ◽  
Multivariate Logistic Regression ◽  
Independent Risk Factors ◽  
In Pregnancy

Abstract Background: Acute pancreatitis in pregnancy (APIP) with persistent organ failure (POF) poses a high risk of death for mother and fetus. This study sought to create a nomogram model for early prediction of POF with APIP patients.Methods: We conducted a cross-sectional study on APIP patients with organ failure (OF) between January 2012 and March 2021 in a university hospital. 131 patients were collected. Their clinical courses and pregnancy outcomes were obtained. Risk factors for POF were identified by univariate and multivariate logistic regression analysis. Prediction models with POF were built and nomogram was plotted. The performance of the nomogram was evaluated by using a bootstrapped-concordance index and calibration plots.Results: Hypertriglyceridemia was the most common etiology in this group of APIP patients, which accounted for 50% of transient organ failure (TOF) and 72.3% of POF. All in-hospital maternal death was in the POF group (P<0.05), which also had a significantly higher perinatal mortality rate than the TOF group (P<0.05). Univariate and multivariate logistic regression analysis determined that lactate dehydrogenase, triglycerides, serum creatinine, and procalcitonin were independent risk factors for predicting POF in APIP. A nomogram for POF was created by using the four indicators. The area under the curve was 0.875 (95% confidence interval 0.80–0.95). The nomogram had a bootstrapped-concordance index of 0.85 and was well-calibrated.Conclusions: Hypertriglyceridemia was the leading cause of organ failure-related APIP. Lactate dehydrogenase, triglycerides, serum creatinine, and procalcitonin were the independent risk factors of POF in APIP. Our nomogram model showed an effective prediction of POF with the four indicators in APIP patients.

scholarly journals Risk Factors for Maternal and Fetal Mortality in Acute Fatty Liver of Pregnancy and New Predictive Models

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhaoli Meng ◽  
Wei Fang ◽  
Mei Meng ◽  
Jicheng Zhang ◽  
Qizhi Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Maternal Mortality ◽  
Predictive Models ◽  
Multivariate Logistic Regression Analysis ◽  
Fetal Mortality ◽  
Multivariate Logistic Regression ◽  
Acute Fatty Liver ◽  
Independent Risk Factors

Acute fatty liver of pregnancy (AFLP) is a rare but potentially life-threatening hepatic disorder that leads to considerable maternal and fetal mortality. To explore the risk factors for maternal and fetal mortality in AFLP and develop new predictive models, through this retrospective study, we analyzed the demographic characteristics, clinical symptoms, and laboratory findings of 106 patients with AFLP who were admitted to Shandong Provincial Hospital. Risk factors for maternal and fetal mortality were analyzed by univariate and multivariate logistic regression analysis. The new models based on the multivariate logistic regression analysis and the model for end-stage liver disease (MELD) were tested in AFLP. The receiver operating characteristic curve (ROC) was applied to compare the predictive efficiency, sensitivity, and specificity of the two models. Prenatal nausea (p = 0.037), prolonged prothrombin time (p = 0.003), and elevated serum creatinine (p = 0.003) were independent risk factors for maternal mortality. The ROC curve showed that the area under the curve (AUC) of the MELD was 0.948, with a sensitivity of 100% and a specificity of 83.3%. The AUC of the new model for maternal mortality was 0.926, with a sensitivity of 90% and a specificity of 94.8%. Hepatic encephalopathy (p = 0.016) and thrombocytopenia (p = 0.001) were independent risk factors for fetal mortality. Using the ROC curve, the AUC of the MELD was 0.694, yielding a sensitivity of 68.8% and a specificity of 64.4%. The AUC of the new model for fetal mortality was 0.893, yielding a sensitivity of 100% and a specificity of 73.3%. Both the new predictive model for maternal mortality and the MELD showed good predictive efficacy for maternal mortality in patients with AFLP (AUC = 0.926 and 0.948, respectively), and the new predictive model for fetal mortality was superior to the MELD in predicting fetal mortality (AUC = 0.893 and 0.694, respectively). The two new predictive models were more readily available, less expensive, and easier to implement clinically, especially in low-income countries.

scholarly journals Analysis of Risk Factors For Sepsis And Indicators of Prognosis In Patients With Sepsis: A Retrospective Observational Study

2021 ◽  
Author(s):  
Huifeng Wang ◽  
Zhiling Zhao ◽  
Zhao-hui Tong
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Albumin Level ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Multivariate Logistic Regression ◽  
Independent Risk Factors

Abstract Background: To investigate the independent risk factors for sepsis and the prognostic indicators of sepsis-related mortality to guide clinical practice.Methods: Adult patients diagnosed with sepsis in the respiratory intensive care unit (RICU), emergency ICU (EICU), and surgical ICU (SICU) of Beijing Chao-Yang Hospital, Capital Medical University, from January 2016 to April 2021 were enrolled. Comorbidities, complications, and laboratory indicators were retrospectively analyzed. Variables with a p value < 0.05 in the univariate analysis were entered into multivariate logistic regression analysis to identify the independent risk factors for sepsis. Receiver operating characteristic curve (ROC) analysis was used for those variables with P < 0.05 in multivariate regression to evaluate the fit of the predictive model and its prognostic efficacy. Results: A total of 123 adult patients with sepsis were enrolled, with 80 males and 43 females and a mean age of 61.56 ± 17.12 years. Acute respiratory distress syndrome (ARDS) occurred in 84 patients (68.3%), acute kidney injury (AKI) occurred in 28 patients (22.8%), acute myocardial injury (AMI) occurred in 6 patients (4.9%), disseminated intravascular coagulation (DIC) occurred in 14 patients (11.4%), septic shock occurred in 40 patients (32.5%), and 41 patients (33.3%) died. Multivariate logistic regression analysis showed that mean arterial pressure (MAP), acute physiology and chronic health evaluation II (APACHE II) score, albumin level, and the presence of DIC were independent risk factors for sepsis (P < 0.05). The area under the ROC curve for the model including MAP, albumin, and APACHE II score was the highest at 0.890.Conclusion: The MAP, APACHE II score, albumin level, and DIC were independent risk factors for sepsis. The inclusion of the MAP, albumin level, and APACHE II score in the model yielded the most accurate prediction of the risk of mortality.

Risk Factors for Wound Infection in Outpatients With Lower Extremity Burns

2020 ◽  
pp. 000313482095238
Author(s):  
Husayn A. Ladhani ◽  
Brian T. Young ◽  
Sarah E. Posillico ◽  
Charles J. Yowler ◽  
Christopher P. Brandt ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Lower Extremity ◽  
Wound Infection ◽  
Logistic Regression Analysis ◽  
Total Body Surface Area ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Independent Risk Factors

Background We sought to evaluate risk factors for wound infection in patients with lower extremity (LE) burn. Methods Adults presenting with LE burn from January 2014 to July 2015 were included. Data regarding demographics, injury characteristics, and outcomes were obtained. The primary outcome was wound infection. Multivariate logistic regression analysis was performed to identify independent risk factors for wound infection. Results 317 patients were included with a mean age of 43 years and median total body surface area of .8%; 22 (7%) patients had a component of full-thickness (FT) burn; and 212 (67%) patients had below-the-knee (BTK) burn. The incidence of wound infection was 15%. The median time to infection was 5 days, and majority (61%) of the patients developed wound infection by day 5. Patients who developed wound infection were more likely to have an FT burn (22% vs. 5%, P < .001) and BTK burn (87% vs. 64%, P = .002), without a difference in other variables. Multivariate logistic regression analysis showed age (Odds ratio (OR) 1.02 and CI 1.00-1.04), presence of FT burn (OR 5.33 and CI 2.09-13.62), and BTK burn (OR 3.42 and CI 1.37-8.52) as independent risk factors for wound infection (area under the curve = .72). Conclusion Age, presence of FT burn, and BTK burn are independent risk factors for wound infection in outpatients with LE burns.

scholarly journals Risk factor analysis for progressive spinal deformity after resection of intracanal tumors─ a retrospective study of 272 cases

2019 ◽  
Author(s):  
Pangbo Wang ◽  
Kang Ma ◽  
Tunan Chen ◽  
Xingsen Xue ◽  
Dada Ma ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Spinal Deformity ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Tumor Involvement

Abstract Background: Progressive spinal deformity has become a well-recognized complication of intracanal tumors resection. However, the factors affecting post-operative spinal stability remain to be further research. Here, we described the current largest series of risk factors analysis for progressive spinal deformity following resection of intracanal tumors. Methods: We retrospectively analyzed the medical records of the patients with resection of intracanal tumors between January 2009 and December 2018. All patients who underwent resection of intracanal tumors performed regular postoperative follow-up were identified and included in the study. Clinical, radiological, surgical, histopathological, and follow-up data were collected. The incidence of postoperative progressive kyphosis or scoliosis was calculated. The statistical relationship between postoperative progressive spinal deformity and radiographic, clinical, and surgical variables was assessed by using univariate tests and multivariate logistic regression analysis. Results: Two hundred seventy-two patients (mean age 42.56 ± 16.18 years) with median preoperative modified McCormick score of 3 met the inclusion criteria. Among them, 7（2.6%）patients were found to have spinal deformity preoperatively, and the extent of spinal deformity in these 7 patients deteriorated after surgery. 36 (13.2%) were new cases of postoperative progressive deformity. The mean duration of follow-up was 21.8 months (median 14 months, range 6–114 months). In subsequent multivariate logistic regression analysis, age≤18 years (p=0.027), vertebral levels of tumor involvement (p = 0.019) and preoperative spinal deformity(p=0.008) was the independent risk factors (p < 0.05), increasing the odds of postoperative progressive spinal deformity by 3.94- , 0.69- and 27.11-fold, respectively. Conclusions: The incidence of postoperative progressive spinal deformity was 15.8%, mostly in these patients who had younger age (≤18 years), tumors involved in multiple segments and preoperative spinal deformity. The risk factors of postoperative progressive spinal deformity warrants serious reconsideration that when performing resection of spinal cord tumors in these patients with such risk factors, the surgeons should consider conducting follow-ups more closely, and when patients suffering from severe symptoms or gradually increased spinal deformity, surgical spinal fusion may be a more suitable choice to reduce the risk of reoperation and improve the prognosis of patients.

scholarly journals Risk factor analysis for progressive spinal deformity after resection of intracanal  tumors─a retrospective study of 272 cases

2019 ◽  
Author(s):  
Pangbo Wang ◽  
Kang Ma(Former Corresponding Author) ◽  
Tunan Chen ◽  
Xingsen Xue ◽  
Dada Ma ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Spinal Deformity ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Tumor Involvement

Abstract Abstract OBJECTIVE: Progressive spinal deformity has become a well-recognized complication of intracanal tumors resection. However, the factors affecting post-operative spinal stability remain to be further research. Here, we described the current largest series of risk factors analysis for progressive spinal deformity following resection of intracanal tumors. METHODS: We retrospectively analyzed the medical records of the patients with resection of intracanal tumors between January 2009 and December 2018. All patients who underwent resection of intracanal tumors performed regular postoperative follow-up were identified and included in the study. Clinical, radiological, surgical, histopathological, and follow-up data were collected. The incidence of postoperative progressive kyphosis or scoliosis was calculated. The statistical relationship between postoperative progressive spinal deformity and radiographic, clinical, and surgical variables was assessed by using univariate tests and multivariate logistic regression analysis. RESULTS: Two hundred seventy-two patients (mean age 42.56 ± 16.18 years) with median preoperative modified McCormick score of 3 met the inclusion criteria. Among them, 7（2.6%）patients were found to have spinal deformity preoperatively, and the extent of spinal deformity in these 7 patients deteriorated after surgery. 36 (13.2%) were new cases of postoperative progressive deformity. The mean duration of follow-up was 21.8 months (median 14 months, range 6–114 months). In subsequent multivariate logistic regression analysis, age≤18 years (p=0.027), vertebral levels of tumor involvement (p = 0.019) and preoperative spinal deformity(p=0.008) was the independent risk factors (p < 0.05), increasing the odds of postoperative progressive spinal deformity by 3.94- , 0.69- and 27.11-fold, respectively. CONCLUSIONS: The incidence of postoperative progressive spinal deformity was 15.8%, mostly in these patients who had younger age (≤18 years), tumors involved in multiple segments and preoperative spinal deformity. The risk factors of postoperative progressive spinal deformity warrants serious reconsideration that when performing resection of spinal cord tumors in these patients with such risk factors, the surgeons should consider conducting follow-ups more closely, and when patients suffering from severe symptoms or gradually increased spinal deformity, surgical spinal fusion may be a more suitable choice to reduce the risk of reoperation and improve the prognosis of patients.

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