scholarly journals Performances of Clinical Characteristics and Radiological Findings in Identifying COVID- 19 From Suspected Cases

2021 ◽  
Author(s):  
Xuanxuan Li ◽  
Yajing Zhao ◽  
Yiping Lu ◽  
Yingyan Zheng ◽  
Nan Mei ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Clinical Practice ◽  
Clinical Characteristics ◽  
Multivariate Logistic Regression Analysis ◽  
Lower Lobe ◽  
Left Lower Lobe ◽  
Mediastinal Lymphadenopathy ◽  
Multivariate Logistic Regression ◽  
Multifocal Lesions ◽  
Wbc Count

Abstract Background: To identify effective factors and establish a model to distinguish COVID-19 patients from suspected cases.Methods: The clinical characteristics, laboratory results and initial chest CT findings of suspected COVID-19 patients in 3 institutions were retrospectively reviewed. Univariate and multivariate logistic regression were performed to identify significant features. A nomogram was constructed, with calibration validated internally and externally.Results: 239 patients from 2 institutions were enrolled in the primary cohort including 157 COVID-19 and 82 non-COVID-19 patients. 11 features were included for multivariate logistic regression analysis after LASSO selection. We found that the COVID-19 group are more likely to have fever (OR, 4.22), contact history (OR, 284.73), lower WBC count (OR, 0.63), left lower lobe involvement (OR, 9.42), multifocal lesions (OR, 8.98), pleual thickening (OR, 5.59), peripheral distribution (OR, 0.09), and less mediastinal lymphadenopathy (OR, 0.037). The nomogram developed accordingly for clinical practice showed satisfactory internal and external validation. Conclusions: In conclusion, fever, contact history, decreased WBC count, left lower lobe involvement, pleural thickening, multifocal lesions, peripheral distribution and absence of mediastinal lymphadenopathy are able to distinguish COVID-19 patients from other suspected patients. The corresponding nomogram is a useful tool in clinical practice.

scholarly journals Abnormal Findings on “T1WI or DWI or MRCP:” An Effective Boolean Interpretation Model in Discriminating Small Pancreatic Ductal Adenocarcinoma from Control Group

2021 ◽  
Vol 11 ◽  
pp. 54
Author(s):  
Hainan Ren ◽  
Naoko Mori ◽  
Minami Hirasawa ◽  
Shin Hamada ◽  
Shunji Mugikura ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Clinical Practice ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Ductal Adenocarcinoma ◽  
Multivariate Logistic Regression ◽  
Control Groups ◽  
Interpretation Model

Objectives: The objectives of the study was to evaluate the diagnostic performance of findings on T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and magnetic resonance cholangiopancreatography (MRCP) separately and to identify an optimal Boolean interpretation model for discriminating patients with small pancreatic ductal adenocarcinoma (PDAC) from control groups in clinical practice. Material and Methods: We retrospectively enrolled 30 patients with surgery confirmed small PDAC (≤20 mm) and 302 patients without pancreatic abnormality between April 2008 and February 2020. The presence of masses was evaluated by T1WI, T2WI, and DWI. Abnormality of the main pancreatic duct (MPD) was evaluated by T2WI and MRCP. Multivariate logistic regression analysis was performed to select significant sequences for discriminating the small PDAC and control groups. Boolean operators “OR” or “AND” were used to construct sequence combinations. Diagnostic performances of these sequences and combinations were evaluated by X2 tests. Results: The sensitivity of T2WI was lowest (20%) for detecting masses. For evaluating MPD abnormality, sensitivity was higher for MRCP than for T2WI (86.7% vs. 53.3%). Multivariate logistic regression analysis showed that T1WI and DWI for detecting the presence of masses and MRCP for evaluating MPD abnormality were significantly associated with differentiation between the two groups (P = 0.0002, P = 0.0484, and P < 0.0001, respectively). Seven combinations were constructed with T1WI, DWI, and MRCP. The combination of findings on “T1WI or DWI or MRCP” achieved the highest sensitivity of 96.7% and negative predictive value of 99.6%. Conclusion: The combination of findings on “T1WI or DWI or MRCP” might be an optimal interpretation model for discriminating small PDAC from control groups in clinical practice.

scholarly journals Clinical significance of D-dimer level in refractory Mycoplasma pneumoniae pneumonia

2020 ◽  
Author(s):  
Xia Huang ◽  
Dan Li ◽  
Feng Liu ◽  
Deyu Zhao ◽  
Yifan Zhu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Inflammatory Response ◽  
Clinical Significance ◽  
Mycoplasma Pneumoniae ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Good Ability ◽  
Wbc Count ◽  
Excessive Inflammatory Response ◽  
D Dimer

Abstract Background: The levels of serum D-dimer (D-D) in children with Mycoplasma pneumoniae pneumonia (MPP) were assessed to explore the clinical significance of D-D levels in refractory MPP (RMPP).Method: A total of 430 patients with MPP were enrolled between January 2015 and December 2015 and divided into a general MPP (GMPP) group (n=306) and a RMPP group (n=124). Clinical data, D-D level, white blood cell (WBC) count, proportion of neutrophils (N%), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), alanine transaminase (ALT), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) were compared between the two groups. Multivariate logistic regression was performed to identify independent predictors of RMPP.Results: (1) Hospitalization time, preadmission fever duration, total fever duration, WBC, N %, CRP, LDH, ESR, ALT, AST, and D-D were significantly higher in the RMPP group than those in the GMPP group, (all P<0.05). (2) Correlation analysis showed that D-D was positively correlated with WBC, CRP, ESR, and LDH, and could be used to jointly evaluate the severity of the disease. (3) Multivariate logistic regression analysis identified preadmission fever duration, CRP, LDH and DD as independent risk factors for RMPP (all P<0. 05). D-D had the highest predictive power for RMPP (P<0.01).. The D-D level also had a good ability to predict pleural effusion and liver injury (all P<0.01). Conclusion: Serum D-D levels were significantly increased in patients with RMPP, indicating that excessive inflammatory response and vascular endothelial injury with prolonged duration existed in this patient population. Increased levels of serum D-D may be used as an early predictor of RMPP and the occurrence of complications. Our findings provide a theoretical basis for the early diagnosis of RMPP, early intervention and excessive inflammatory response in the pathogenesis of mycoplasma.

scholarly journals Clinical features and risk factors analysis of bronchitis obliterans due to refractory Mycoplasma pneumoniae pneumonia in children: a nomogram prediction model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qi Cheng ◽  
Han Zhang ◽  
Yunxiao Shang ◽  
Yuetong Zhao ◽  
Ye Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Mycoplasma Pneumoniae ◽  
Characteristic Curve ◽  
Acute Infection ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Early Prediction ◽  
Multivariate Logistic Regression ◽  
Fiber Bronchoscopy ◽  
Wbc Count

Abstract Background Early prediction of bronchitis obliterans (BO) is of great significance to the improvement of the long-term prognosis of children caused by refractory Mycoplasma pneumoniae pneumonia (RMPP). This study aimed to establish a nomogram model to predict the risk of BO in children due to RMPP. Methods A retrospective observation was conducted to study the clinical data of children with RMPP (1–14 years old) during acute infection. According to whether there is BO observed in the bronchoscope, children were divided into BO and the non-BO groups. The multivariate logistic regression model was used to construct the nomogram model. Results One hundred and forty-one children with RMPP were finally included, of which 65 (46.0%) children with RMPP were complicated by BO. According to the multivariate logistic regression analysis, WBC count, ALB level, consolidation range exceeding 2/3 of lung lobes, timing of macrolides, glucocorticoids or fiber bronchoscopy and plastic bronchitis were independent influencing factors for the occurrence of BO and were incorporated into the nomogram. The area under the receiver operating characteristic curve (AUC-ROC) value of nomogram was 0.899 (95% confidence interval [CI] 0.848–0.950). The Hosmer–Lemeshow test showed good calibration of the nomogram (p = 0.692). Conclusion A nomogram model found by seven risk factor was successfully constructed and can use to early prediction of children with BO due to RMPP.

scholarly journals Clinical significance of D-dimer level in refractory Mycoplasma pneumoniae pneumonia

2020 ◽  
Author(s):  
Xia Huang ◽  
Dan Li ◽  
Feng Liu ◽  
Deyu Zhao ◽  
Yifan Zhu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Inflammatory Response ◽  
Clinical Significance ◽  
Mycoplasma Pneumoniae ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Good Ability ◽  
Wbc Count ◽  
Excessive Inflammatory Response ◽  
D Dimer

Abstract Background: The levels of serum D-dimer (D-D) in children with Mycoplasma pneumoniae pneumonia (MPP) were assessed to explore the clinical significance of D-D levels in refractory MPP (RMPP).Method: A total of 430 patients with MPP were enrolled between January 2015 and December 2015 and divided into a general MPP (GMPP) group (n=306) and a RMPP group (n=124). Clinical data, D-D level, white blood cell (WBC) count, proportion of neutrophils (N%), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), alanine transaminase (ALT), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) were compared between the two groups. Multivariate logistic regression was performed to identify independent predictors of RMPP.Results: (1) Hospitalization time, preadmission fever duration, total fever duration, WBC, N %, CRP, LDH, ESR, ALT, AST, and D-D were significantly higher in the RMPP group than those in the GMPP group (all P<0.05). (2) Correlation analysis showed that D-D was positively correlated with WBC, CRP, ESR, and LDH, and could be used to jointly evaluate the severity of the disease. (3) Multivariate logistic regression analysis identified preadmission fever duration, CRP, LDH and DD as independent risk factors for RMPP (all P<0. 05). D-D had the highest predictive power for RMPP (P<0.01). The D-D level also had a good ability to predict pleural effusion and liver injury (all P<0.01). Conclusion: Serum D-D levels were significantly increased in patients with RMPP, indicating that excessive inflammatory response and vascular endothelial injury with prolonged duration existed in this patient population. Increased levels of serum D-D may be used as an early predictor of RMPP and the occurrence of complications. Our findings provide a theoretical basis for the early diagnosis of RMPP, early intervention and excessive inflammatory response in the pathogenesis of mycoplasma.

scholarly journals Comparison of Clinical Characteristics and Outcomes between Respiratory s yncytial Virus and Influenza-related Pneumonia in China from 2013 to 2019

2020 ◽  
Author(s):  
Liang Chen ◽  
Xiudi Han ◽  
YanLi Li ◽  
Chunxiao Zhang ◽  
Xiqian Xing
Keyword(s):  
Logistic Regression ◽  
Influenza A ◽  
Clinical Characteristics ◽  
Nasal Congestion ◽  
Multivariate Logistic Regression Analysis ◽  
Teaching Hospitals ◽  
Multivariate Logistic Regression Model ◽  
Influenza B ◽  
Multivariate Logistic Regression ◽  
Increased Risk

Abstract Background: Differences in the clinical features and outcomes between syncytial virus-related (RSV-p) and influenza-related pneumonia (Flu-p) are largely unknown. We aimed to compare clinical characteristics and severity between adults with the two conditions . Methods: A total of 127 patients with RSV-p, 693 patients with influenza A-related pneumonia (FluA-p) and 386 patients with influenza B-related pneumonia (FluB-p) were retrospectively reviewed from 2013 through 2019 in five teaching hospitals in China. Results: A multivariate logistic regression model indicated that age ≥ 50 years, cerebrovascular disease, chronic kidney disease, solid malignant tumor, nasal congestion, myalgia, sputum production, respiratory rates ≥ 30 beats/min, lymphocytes < 0.8×109/L and blood albumin < 35 g/L were predictors that differentiated RSV-p from Flu-p. After adjusting for confounders, a multivariate logistic regression analysis confirmed that, relative to RSV-p, FluA-p (OR 2.313 , 95% CI 1.377 - 3.885, p = 0.002) incurred an increased risk for severe outcomes, including invasive ventilation, ICU admission, and 30-day mortality. FluB-p (OR 1.630 , 95% CI 0.958 - 2.741, p = 0.071) was not associated with increased risk. Conclusions: The severity of RSV-p was less than that of FluA-p, but was comparable to FluB-p. Some clinical variables were useful for discriminating RSV-p from Flu-p.

scholarly journals Clinical Features and Risk Factors Analysis of Bronchitis Obliterans Due to Refractory Mycoplasma Pneumoniae Pneumonia in Children: A Nomogram Prediction Model

2021 ◽  
Author(s):  
Qi Cheng ◽  
Han Zhang ◽  
Yunxiao Shang ◽  
Yuetong Zhao ◽  
Ye Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Mycoplasma Pneumoniae ◽  
Characteristic Curve ◽  
Acute Infection ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Fiber Bronchoscopy ◽  
Wbc Count ◽  
Mycoplasma Pneumoniae Pneumonia

Abstract BackgroundEarly prediction of bronchitis obliterans (BO) is of great significance to the improvement of the long-term prognosis of children caused by refractory mycoplasma pneumoniae pneumonia (RMPP). This study aimed to establish a nomogram model to predict the risk of BO in children due to RMPP.MethodsA retrospective observation was conducted to study the clinical data of children with RMPP (1-14 years old) during acute infection. According to whether there is BO observed in the bronchoscope, children were divided into BO and the non-BO groups. The multivariate logistic regression model was used to construct the nomogram model.Results141 children with RMPP were finally included, of which 65 (46.0%) children with RMPP were complicated by BO. According to the multivariate logistic regression analysis, WBC count, ALB level, consolidation range exceeding 2/3 of lung lobes, timing of macrolides, glucocorticoids or fiber bronchoscopy and plastic bronchitis were independent influencing factors for the occurrence of BO and were incorporated into the nomogram. The area under the receiver operating characteristic curve (AUC-ROC) value of nomogram was 0.899 (95% confidence interval [CI]: 0.848~0.950). The Hosmer-Lemeshow test showed good calibration of the nomogram (p=0.692).Conclusion: A nomogram model found by seven risk factor was successfully constructed and can use to early prediction of children with BO due to RMPP.

scholarly journals Clinical significance of D-dimer levels in refractory Mycoplasma pneumoniae pneumonia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xia Huang ◽  
Dan Li ◽  
Feng Liu ◽  
Deyu Zhao ◽  
Yifan Zhu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Inflammatory Response ◽  
Clinical Significance ◽  
Mycoplasma Pneumoniae ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Good Ability ◽  
Wbc Count ◽  
Excessive Inflammatory Response ◽  
D Dimer

Abstract Background The levels of serum D-dimer (D-D) in children with Mycoplasma pneumoniae pneumonia (MPP) were assessed to explore the clinical significance of D-D levels in refractory MPP (RMPP). Method A total of 430 patients with MPP were enrolled between January 2015 and December 2015 and divided into a general MPP (GMPP) group (n = 306) and a RMPP group (n = 124). Clinical data, D-D level, white blood cell (WBC) count, proportion of neutrophils (N%), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), alanine transaminase (ALT), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) were compared between the two groups. Multivariate logistic regression was performed to identify independent predictors of RMPP. Results (1) Hospitalization time, preadmission fever duration, total fever duration, WBC, N %, CRP, LDH, ESR, ALT, AST, and D-D were significantly higher in the RMPP group than those in the GMPP group (all P < 0.05). (2) Correlation analysis showed that D-D was positively correlated with WBC, CRP, ESR, and LDH, and could be used to jointly evaluate the severity of the disease. (3) Multivariate logistic regression analysis identified preadmission fever duration, CRP, LDH and DD as independent risk factors for RMPP (all P < 0. 05). D-D had the highest predictive power for RMPP (P < 0.01). The D-D level also had a good ability to predict pleural effusion and liver injury (all P < 0.01). Conclusion Serum D-D levels were significantly increased in patients with RMPP, indicating that excessive inflammatory response and vascular endothelial injury with prolonged duration existed in this patient population. Increased levels of serum D-D may be used as an early predictor of RMPP and the occurrence of complications. Our findings provide a theoretical basis for the early diagnosis of RMPP, early intervention and excessive inflammatory response in the pathogenesis of mycoplasma.

Epidemiology of pediatric hydrocephalus in Haiti: analysis of a surgical case series

2019 ◽  
Vol 23 (5) ◽  
pp. 568-576
Author(s):  
Michael Ragheb ◽  
Ashish H. Shah ◽  
Sarah Jernigan ◽  
Tulay Koru-Sengul ◽  
John Ragheb
Keyword(s):  
Public Health ◽  
Logistic Regression ◽  
Head Circumference ◽  
Rainy Season ◽  
Statistical Tests ◽  
Multivariate Logistic Regression Analysis ◽  
Case Series ◽  
Multivariate Logistic Regression ◽  
Surgical Case ◽  
Operative Notes

OBJECTIVEHydrocephalus is recognized as a common disabling pediatric disease afflicting infants and children disproportionately in the developing world, where access to neurosurgical care is limited and risk of perinatal infection is high. This surgical case series describes the Project Medishare Hydrocephalus Specialty Surgery (PMHSS) program experience treating hydrocephalus in Haiti between 2008 and 2015.METHODSThe authors conducted a retrospective review of all cases involving children treated for hydrocephalus within the PMHSS program in Port-au-Prince, Haiti, from 2008 through 2015. All relevant epidemiological information of children treated were prospectively collected including relevant demographics, birth history, hydrocephalus etiology, head circumference, and operative notes. All appropriate associations and statistical tests were performed using univariate and multivariate logistic regression analyses.RESULTSAmong the 401 children treated within PMHSS, postinfectious hydrocephalus (PIH) accounted for 39.4% (n = 158) of cases based on clinical, radiographic, and endoscopic findings. The majority of children with hydrocephalus in Haiti were male (54.8%, n = 197), born in the rainy season (59.7%, n = 233), and born in a coastal/inland location (43.3%, n = 61). The most common surgical intervention was endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) (45.7%, n = 175). Multivariate logistic regression analysis yielded coastal birth location (OR 3.76, 95% CI 1.16–12.18) as a statistically significant predictor of PIH. Increasing head circumference (adjusted OR 1.06, 95% CI 0.99–1.13) demonstrated a slight trend toward significance with the incidence of PIH.CONCLUSIONSThis information will provide the foundation for future clinical and public health studies to better understand hydrocephalus in Haiti. The 39.4% prevalence of PIH falls within observed rates in Africa as does the apparently higher prevalence for those born during the rainy season. Although PIH was the most frequent etiology seen in almost all birth locations, the potential relationship with geography noted in this series will be the focus of further research in an effort to understand the link between climate and PIH in Haiti. The ultimate goal will be to develop an appropriate public health strategy to reduce the burden of PIH on the children of Haiti.

High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke

2019 ◽  
Vol 16 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Jiann-Der Lee ◽  
Ya-Han Hu ◽  
Meng Lee ◽  
Yen-Chu Huang ◽  
Ya-Wen Kuo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Prior History ◽  
Multivariate Logistic Regression ◽  
Cart Analysis ◽  
Younger Age ◽  
History Of ◽  
One Year

Background and Purpose: Recurrent ischemic strokes increase the risk of disability and mortality. The role of conventional risk factors in recurrent strokes may change due to increased awareness of prevention strategies. The aim of this study was to explore the potential risk factors besides conventional ones which may help to affect the advances in future preventive concepts associated with one-year stroke recurrence (OSR). Methods: We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics between patients with and without OSR were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. Results: Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression analysis revealed that male sex (OR 1.243, 95% CI 1.025 – 1.506), age (OR 1.015, 95% CI 1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 – 1.615) were major factors associated with OSR. CART analysis further identified age and a prior history of ischemic stroke were important factors for OSR when classified the patients into three subgroups (with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively). Conclusions: Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR by multivariate logistic regression analysis, and CART analysis further demonstrated that patients with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of OSR.

Sign in / Sign up

Export Citation Format

Share Document