scholarly journals Clinical Characteristics and Predictors of Mortality in Young Adults with Severe COVID-19. A Retrospective Observational Study

2021 ◽  
Author(s):  
Yanjiao Lu ◽  
Zhenli Huang ◽  
Meijia Wang ◽  
Kun Tang ◽  
Shanshan Wang ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Elevated Level ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Multivariate Logistic Regression Analysis ◽  
Laboratory Findings ◽  
Predictors Of Mortality ◽  
Hs Crp ◽  
D Dimer

Abstract Background and objective: Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19.Methods: A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model.Results: In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19.Conclusion: Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

scholarly journals Clinical Characteristics and Predictors of Mortality for Young Adults with Severe COVID-19: A Retrospective Study

2020 ◽  
Author(s):  
Yanjiao Lu ◽  
Zhenli Huang ◽  
Meijia Wang ◽  
Kun Tang ◽  
Shanshan Wang ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Elevated Level ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Multivariate Logistic Regression Analysis ◽  
Laboratory Findings ◽  
Predictors Of Mortality ◽  
Hs Crp ◽  
D Dimer

Abstract Background and objective: Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19.Methods: A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model.Results: In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19.Conclusion: Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

scholarly journals Clinical characteristics and predictors of mortality in young adults with severe COVID-19: a retrospective observational study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yanjiao Lu ◽  
Zhenli Huang ◽  
Meijia Wang ◽  
Kun Tang ◽  
Shanshan Wang ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Elevated Level ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Multivariate Logistic Regression Analysis ◽  
Laboratory Findings ◽  
Predictors Of Mortality ◽  
Hs Crp ◽  
D Dimer

Abstract Background and objective Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19. Methods A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model. Results In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19. Conclusion Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

scholarly journals Clinical Characteristics and Predictors of Mortality in Young Adults with Severe COVID-19

2020 ◽  
Author(s):  
Yanjiao Lu ◽  
Zhenli Huang ◽  
Meijia Wang ◽  
Kun Tang ◽  
Shanshan Wang ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Elevated Level ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Multivariate Logistic Regression Analysis ◽  
Laboratory Findings ◽  
Predictors Of Mortality ◽  
Hs Crp ◽  
D Dimer

Abstract Background and objective: Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19.Methods: A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model.Results: In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19.Conclusion: Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

scholarly journals Analysis of Predictive Factors for Moderate-Stage COVID-19 Outcome and Maximal Extent of Lung Injury

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Pengfei Chen ◽  
Na Fan ◽  
Yi Liang ◽  
Wenhui Fan
Keyword(s):  
Logistic Regression ◽  
Lung Injury ◽  
Predictive Factors ◽  
Multivariate Logistic Regression Analysis ◽  
High Sensitivity ◽  
Clinical Classification ◽  
Severe Stage ◽  
Neutrophil Percentage ◽  
Hs Crp ◽  
Maximal Extent

Background: As the coronavirus disease 2019 (COVID-19) epidemic continues to spread, it is important to predict the clinical classification of COVID-19 and evaluate the progression of lung injury. Objectives: To investigate the predictive factors of the outcome of moderate-stage coronavirus disease 2019 (COVID-19) and maximal extent of lung injury. Patients and Methods: This study was a retrospective analysis of 97 patients with moderate-stage COVID-19 diagnosed in our hospital. We divided the patients into two groups according to disease progression: one group for moderate stage and another for both severe stage and critically severe stage COVID-19. We then analyzed the independent factors influencing changes in the course of the disease in moderate-stage patients using binary logistic regression. Next, we assessed the computed tomography (CT) score of maximal lung injury using follow-up images of the patients. We used multiple linear regression (MLR) to analyze the independent variables, and to predict the CT score of maximal lung injury in COVID-19 patients. Results: The results were obtained using multivariate logistic regression analysis, and the independent factors affecting clinical classification were baseline CT score (P = 0.008), high-sensitivity C-reactive protein (hs-CRP) (P = 0.001), and diabetes (P = 0.04). MLR revealed that the factors predicting the extent of maximal lung injury in COVID-19 patients were age (P = 0.014), neutrophil percentage (P = 0.038), lymphocyte percentage (P = 0.031), hs-CRP (P = 0.010), and baseline CT score (P < 0.001). The optimal cut-off value of hs-CRP was 18.5, and the baseline CT score was 8.5. Conclusion: Age, baseline CT score, hs-CRP, neutrophil percentage, and lymphocyte percentage could predict the CT score of maximal lung injury, and hs-CRP > 18.5, baseline CT score ≥ 9, and diabetes were independent factors of severe/critically severe COVID-19.

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 ◽  
Excessive Inflammatory Response ◽  
Mycoplasma Pneumoniae Pneumonia ◽  
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 characteristics and risk factors of Fulminant Mycoplasma pneumoniae pneumonia in children

2020 ◽  
Author(s):  
yaoyao ling ◽  
Tongqiang Zhang ◽  
Zhenli Zhu ◽  
Jiao Tian ◽  
yongsheng xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pleural Effusion ◽  
Mycoplasma Pneumoniae ◽  
Clinical Characteristics ◽  
Laboratory Data ◽  
Clinical Manifestations ◽  
Multivariate Logistic Regression Analysis ◽  
Radiological Findings ◽  
Mycoplasma Pneumoniae Pneumonia ◽  
D Dimer

Abstract BACKGROUND: Analyze the clinical characteristics of Fulminant Mycoplasma pneumoniae pneumonia (FMPP), and explore the related factors predicting FMPP. METHODS: A retrospective case-control study was performed on 345 children with Mycoplasma pneumoniae pneumonia (MPP) hospitalized in our Hospital from January 2017 to June 2019. The clinical features, laboratory data and radiological findings were compared between the FMPP group, refractory Mycoplasma pneumoniae pneumonia (RMPP)group and general Mycoplasma pneumoniae pneumonia (GMPP) group. RESULTS: FMPP patients (n=69) had more severe presentations, higher incidence of extra-pulmonary complications and more serious radiological findings(P<0.05). And the days of fever and the days in hospital were longer, and FMPP patients also need more complicated treatments(P<0.05). Meanwhile, the levels of white blood cell count(WBC) ,C-reactive protein(CRP), lactic dehydrogenase (LDH), interleukin (IL)-6,ferritin, D-dimer, fibrinogen(FG),alanine aminotransferase(ALT) and the percentage of neutrophils in the FMPP group were significantly higher than those in the RMPP group and the GMPP group (both P<0.05). In ROC curve analysis, the percentage of neutrophils, WBC, CRP, LDH, IL-6, ferritin, D-dimer and ALT were contributed to identify FMPP patients. Multivariate logistic regression analysis showed that ferritin>174.15 ng/mL, IL-6>25.475pg/ml and pleural effusion had significant predictive effects on the early diagnosis of FMPP (P<0.01). Conclusion: FMPP patients presented more serious clinical manifestations. Ferritin>174.15 ng/mL, IL-6>25.475pg/ml and pleural effusion were high risk factors for FMPP.

scholarly journals Association of Biomarkers Related to Preoperative Inflammatory and Coagulation with Postoperative In-Hospital Deaths in Patients with Type A Acute Aortic Dissection

2021 ◽  
Author(s):  
Ming Li ◽  
Haifeng Sun ◽  
Suochun Xu ◽  
Yang Yan ◽  
Haichen Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Multivariate Logistic Regression Analysis ◽  
Type A ◽  
Hospital Deaths ◽  
Independent Risk Factors ◽  
D Dimer

Abstract Background: The aim of this study was to analyze the predictive value of biomarkers related to preoperative inflammatory and coagulation in the prognosis of patients with type A acute aortic dissection (AAD). Methods: A total of 206 patients with type A AAD who had received surgical treatment were enrolled. Patients were divided into two groups according to whether they died during hospitalization. Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) between the two groups were compared. Univariate and multivariate logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of D-dimer, FIB, PLT, WBC, NEU and CRP in the prognosis of the patients. Results: Univariate logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariate logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for in-hospital deaths of patients with type A AAD. ROC curve analysis indicated that FIB+PLT combination is provided with the highest predictive value for in-hospital deaths.Conclusion: Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the prognosis of such patients. Combined use of FIB and PLT may improve the accuracy and accessibility of clinical prognostic assessment.

scholarly journals Prognostic value of neutrophil-to-lymphocyte ratio, lactate dehydrogenase, D-dimer and CT score in patients with COVID-19

2020 ◽  
Author(s):  
Yu-Qing Cai ◽  
Hui-Qing Zeng ◽  
Xiao-Bin Zhang ◽  
Xiao-Jie Wei ◽  
Lan Hu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Lactate Dehydrogenase ◽  
Independent Predictor ◽  
Neutrophil To Lymphocyte Ratio ◽  
Multivariate Logistic Regression ◽  
Laboratory Findings ◽  
Lymphocyte Ratio ◽  
Severe Group ◽  
High Level ◽  
D Dimer

Abstract Background To explore the significance of neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), D-dimer and CT score in evaluating the severity and prognosis of coronavirus disease – 2019 (COVID-19). Methods Patients with laboratory confirmed COVID-19 were retrospectively enrolled. The baseline data, laboratory findings, chest computed tomography (CT) results evaluating by CT score on admission, and clinical outcomes were collected and compared. The logistic regression was used to assess the independent relationship between the baseline level of four indicators (NLR, LDH, D-dimer, CT score) and the severity of COVID-19. Results Among 432 patients, 125 (28.94%) cases were divided into severe group, the remaining (n = 307, 71.06%) were in non-severe group. In multivariate logistic regression, high level of NLR, LDH were independent predictor of the severe group in COVID-19 (OR = 2.163; 95%CI = 1.162–4.026; p = 0.015 for NLR > 3.82; OR = 2.298; 95%CI = 1.327–3.979; p = 0.003 for LDH > 246U/L). Combining NLR > 3.82 and LDH > 246U/L increased the sensitivity of diagnosis in severe patients (NLR > 3.82 [50.40%] vs. Combined diagnosis [72.80%]; p = 0.0007; LDH > 246 [59.2%] vs. Combined diagnosis [72.80%]; p < 0.0001). Conclusions High levels of NLR and LDH in serum have potential value in the early identification of severe patients with COVID-19. The combination of LDH and NLR can improve the sensitivity of diagnosis.

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 392. Predictors of Mortality in Hospitalized Patients with COVID-19; A Single Centered Retrospective Analysis

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S265-S266
Author(s):  
Farah N Harmouch ◽  
Kashyap Shah ◽  
Harsh Goel
Keyword(s):  
Logistic Regression ◽  
Multivariate Analysis ◽  
Retrospective Analysis ◽  
Inflammatory Markers ◽  
Clinical Characteristics ◽  
Conditional Logistic Regression ◽  
Hospitalized Patients ◽  
University Hospital ◽  
Categorical Variables ◽  
Predictors Of Mortality

Abstract Background The Coronavirus disease-2019 (COVID-19) has been responsible for the death of over 400,000 people with a continuous rise in prevalence and mortality globally. Identifying hospitalized patients at high mortality risk is critical for triage and health-care resource management regionally, nationally, and globally. We present a retrospective analysis of predictors of mortality in hospitalized COVID-19 patients. Methods Electronic health records (EHR) of patients admitted between March 1 and April 18, 2020 to St. Luke’s University Hospital with a primary diagnosis of COVID-19 were reviewed for medical co-morbidities and initial biochemical/inflammatory markers. Survivors vs non-survivors were compared using χ 2 test, Student’s t-test, and Mann-Whitney U-test as appropriate. Univariate logistic regression was used to identify candidate variables for multivariate analysis, which were then included in stepwise backward logistic regression. Statistical analyses were done on SPSS v26 software (IBM, Armonk, NY). Results Clinical characteristics, biochemical abnormalities and results of univariate regression in our cohort of 560 patients are noted in table 1. Multivariate regression revealed age, congestive heart failure (CHF), and creatinine≥ 1.5 mg/dl as significant predictors of mortality while race (Caucasian), vascular disease, lymphopenia, and elevated ferritin approached significance (Table 2). Table 1: Baseline clinical characteristics, overall and by mortality. Continuous variables are presented as median (25th-75th percentile), and categorical variables as n (%) Significance of difference between subgroups (survivors versus non-survivors) *p≤0.05, **p≤0.01, ***p≤0.001 Table 2: Results of stepwise backward conditional logistic regression for predicting mortality among hospitalized COVID-19 patients. (n=334, 287 survivors and 47 non-survivors). ALC – Absolute lymphocyte count, S.E. – Standard error of B. Conclusion We present one of the largest cohorts to date of hospitalized COVID-19 patients. Age, CHF, and renal disease were significant independent predictors of mortality. Though several inflammatory markers (d-dimer, CRP, procalcitonin) initially predicted mortality, they failed in multivariate analysis, questioning their role in risk-stratifying COVID-19 hospitalized patients. Interestingly, IL-6 used in those severely ill patients to assess candidacy for IL-6 inhibitor therapy (Tocilizumab) failed to predict mortality in our study. Our analysis was limited due to its retrospective nature and unfortunately large amounts of data were missing for some variables (ESR, BNP, IL-6 levels). The missing data was due to rapidly evolving institutional protocols early during the pandemic, leading to non-uniform assessment of these markers. Disclosures All Authors: No reported disclosures

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