COMPARISON OF MORTALITY RELATED RISK FACTORS OF COVID-19 AND SARI DEATH DURING THE PEAK OF PANDEMIC IN A TERTIARY CARE CENTRE.

2021 ◽  
pp. 136-139
Author(s):  
K. Anbananthan ◽  
A. Manimaran ◽  
A. Ramasamy ◽  
S. A. Natesh ◽  
AnuSree. S. C
Keyword(s):  
Risk Factors ◽  
Liver Disease ◽  
Cerebrovascular Disease ◽  
Lung Disease ◽  
Chronic Lung Disease ◽  
Poor Prognosis ◽  
Severe Acute Respiratory Infection ◽  
Viral Infectious Disease ◽  
Study Population ◽  
D Dimer

Background: COVID-19 is a viral infectious disease caused by the SARS CoV-2 virus which causes severe respiratory distress in a certain number of patients with specic risk factors. This study compares the mortality risk factors of COVID 19 and Severe Acute Respiratory Infection (SARI) deaths and also determines the most likely causes that lead to such a poor prognosis Objectives: To evaluate the risk factors of COVID 19 and SARI causing mortality. To compare the most likely risk factors that lead to such a poor prognosis Materials And Methods: This was a Cross sectional study done on 190 patients which includes all cases of covid 19 and SARI deaths within the peak of pandemic period (August 2020). Patient datas were collected from MRD registry at Thanjavur Medical College. Results: Among the study population of 190, age distribution of the patients died due to covid-19 was minimum 26 years to maximum 89 years and mean age of 61years. Most commonly affected were in the age around 60years. Distribution of male is around 72.1%.This study showed 47.9% were covid positive and 42.1% were suspected based on CT chest nding and clinical features. Around 84.7% were diabetic and 56.3% were hypertensive. There is no signicant difference between the exposure rate of diabetes, hypertension, CKD, chronic lung disease, cerebrovascular disease, liver disease, malignancy among covid and SARI group. Among these study population 94.7% had elevated d-dimer level. Conclusion: This study showed various comorbidities, complications, and demographic variables including diabetes, hypertension, chronic kidney disease,, chronic lung disease,liver disease, Cerebrovascular disease, cancer, increased D-dimer, male gender, older age(>50), smoking, and obesity are clinical risk factors for a fatal outcome associated with COVID 19.

Risk Factors of Pulmonary Hypertension in Preterm Infants with Chronic Lung Disease

2013 ◽  
Vol 20 (1) ◽  
pp. 75 ◽  
Author(s):  
Jeong Jin Ra ◽  
Soon Min Lee ◽  
Ho Sun Eun ◽  
Min Soo Park ◽  
Kook In Park ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pulmonary Hypertension ◽  
Lung Disease ◽  
Preterm Infants ◽  
Chronic Lung Disease

Inherited Risk Factors for Chronic Lung Disease

CHEST Journal ◽  
1980 ◽  
Vol 77 (2) ◽  
pp. 255-257 ◽  
Author(s):  
R. Madison ◽  
R. Zelman ◽  
Charles Mittman
Keyword(s):  
Risk Factors ◽  
Lung Disease ◽  
Chronic Lung Disease ◽  
Inherited Risk

Inherited Risk Factors for Chronic Lung Disease

CHEST Journal ◽  
1980 ◽  
Vol 77 (2) ◽  
pp. 255-257 ◽  
Author(s):  
R. Madison ◽  
R. Zelman ◽  
Charles Mittman
Keyword(s):  
Risk Factors ◽  
Lung Disease ◽  
Chronic Lung Disease ◽  
Inherited Risk

scholarly journals Clinical Features and Prognostic Factors of Acute Ischemic Stroke Related to Malignant Gastrointestinal Tumor

2021 ◽  
Vol 12 ◽  
Author(s):  
Yating Liu ◽  
Xin Li ◽  
Feixue Song ◽  
Xin Yan ◽  
Zhijian Han ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Prognostic Factors ◽  
Acute Ischemic Stroke ◽  
Malignant Tumor ◽  
Poor Prognosis ◽  
Good Prognosis ◽  
Imaging Features ◽  
Prognosis Group ◽  
D Dimer

Objectives: To analyze the clinical and imaging features of acute ischemic stroke (AIS) related to gastrointestinal malignant tumor, and to explore the prognostic factors.Methods: Clinical data of consecutive patients with gastrointestinal malignant tumor complicated with AIS admitted to the Department of Neurology and Oncology in Lanzhou University Second Hospital from April 2015 to April 2019 were retrospectively analyzed. Patients were divided into good prognosis (mRS 0–2) and poor prognosis (mRS > 2) based on a 90-day mRS score after discharge. The multivariate logistic regression model was used to analyze the prognostic factors.Results: A total of 68 patients were enrolled with an average age of 61.78 ± 6.65 years, including 49 men (72.06%). There were 18 patients in the good prognosis group and 50 patients in the poor prognosis group. The univariate analysis showed that Hcy, D-dimer, thrombin–antithrombin complex (TAT), and three territory sign in magnetic resonance imaging (MRI) were the risk factors for poor prognosis. Multivariate analysis showed that increased D-dimer (OR 4.497, 95% CI 1.014–19.938) and TAT levels (OR 4.294, 95% CI 1.654–11.149) were independent risk factors for the prognosis in such patients.Conclusion: Image of patients with gastrointestinal malignant tumor-related AIS is characterized by three territory sign (multiple lesions in different vascular supply areas). Increased TAT and D-dimer levels are independent prognostic risk factors. TAT is more sensitive to predict prognosis than D-dimer.

scholarly journals Development of an educational intervention to reduce the burden of adult chronic lung disease in rural India: Inputs from a qualitative study

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254534
Author(s):  
Biswajit Paul ◽  
Rita Isaac ◽  
Hemalatha R. ◽  
Paul Jebaraj ◽  
Muthathal S. ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Lung Disease ◽  
Health Behaviour ◽  
Chronic Lung Disease ◽  
Lived Experiences ◽  
Health Behaviours ◽  
Care Providers ◽  
Usual Practice ◽  
Factors Influencing

Background Chronic respiratory diseases (CRDs) are major causes of mortality and morbidity worldwide with a substantial burden of the disease being borne by the low and middle income countries (LMICs). Interventions to change health behaviour which aim to improve the quality of life and reduce disease burden due to CRD require knowledge of the problem and factors influencing such behaviour. Our study sought to appreciate the lived experiences of people with CRD, their understanding of the disease and its risk factors, and usual practice of health behaviour in a rural low-literate community in southern India. Methods Qualitative data were collected between September and December 2018 through eight focus group discussions (FGDs), five in-depth interviews and four key-informant interviews from patients and community members. Community engagement was undertaken prior to the study and all interviews and discussions were recorded with permission. Inductive coding was used to thematically analyse the results. Results Major themes included understanding of chronic lung disease, health behaviours, lived experiences with the disease and social norms, attitudes and other factors influencing health behaviour. Discussion Poor understanding of CRDs and their risk factors affect health seeking behaviour and/or health practices. Stigma associated with the disease and related health behaviours (e.g. inhaler use) creates emotional challenges and mental health problems, besides influencing health behaviour. However barriers can be circumvented by increasing community awareness; communication and connection with the community through community based health care providers can turn challenges into opportunities for better health care.

scholarly journals Clinical Determinants of the Severity of Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
Yanling Wu ◽  
Hu Li ◽  
Shengjin Li
Keyword(s):  
Risk Factors ◽  
Cerebrovascular Disease ◽  
Respiratory Disease ◽  
Meta Analysis ◽  
Case Fatality ◽  
Older Age ◽  
Fatality Risk ◽  
Male Sex ◽  
Case Fatality Risk ◽  
D Dimer

Abstract Background: SARS-CoV-2 is an emerging pathogen, and coronavirus disease 2019 (COVID-19) has been declared a global pandemic. We aim to summarize current evidence regarding the risk of death and the severity of COVID-19 as well as risk factors for severe COVID-19.Methods: The PubMed, Embase, and Web of Science databases as well as some Chinese databases were searched for clinical and epidemiological studies on COVID-19. We conducted a meta-analysis to examine COVID-19-related death and risk factors for the severity of COVID-19.Results: A total of 55 studies fulfilled the criteria for this review. The case fatality risk ranged from 0 to 61.5%, with a pooled estimate of 3.3%. The risks of ICU admission, acute respiratory distress syndrome (ARDS)and severe COVID-19 were 24.9%, 20.9% and 26.6%, respectively. Factors related to the risk of severe COVID-19 were older age (MD=10.09, 95% CI:7.03, 13.16), male sex (OR=1.62, 95% CI:1.32, 1.99), hypertension (OR=2.34, 95% CI:1.47, 3.73), diabetes (OR=2.25, 95% CI:1.68, 3.03), chronic renal disease (OR=3.60, 95% CI:1.53, 8.46), heart disease (OR=2.76, 95% CI:1.78, 4.30), respiratory disease (OR=3.74, 95% CI:2.15, 6.49), cerebrovascular disease (OR=2.21, 95% CI:1.23, 3.98), higher D-dimer levels (SMD=0.62, 95% CI:0.28, 0.96), and higher IL-6 levels (SMD=2.21, 95% CI:0.11, 4.31). However, liver disease (OR=0.63, 95% CI: 0.36, 1.10) was found to be a nonsignificant predictor of the severity of COVID-19.Conclusions: The case fatality risk of COVID-19 and the risk of severe manifestations were not very high, and variances in the study designs and regions led to high heterogeneity among the studies. Male sex, older age, comorbidities such as hypertension, diabetes, cardiovascular disease, respiratory disease and cerebrovascular disease could increase the risk of developing a severe case of COVID-19. Laboratory parameters, such as D-dimer and IL-6 levels, could affect the prognosis of COVID-19.

scholarly journals Mortality Predictors in Severe COVID-19 Patients from an East European Tertiary Center: A Never-Ending Challenge for a No Happy Ending Pandemic

2021 ◽  
Vol 11 (1) ◽  
pp. 58
Author(s):  
Amalia-Stefana Timpau ◽  
Radu-Stefan Miftode ◽  
Antoniu Octavian Petris ◽  
Irina-Iuliana Costache ◽  
Ionela-Larisa Miftode ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Poor Prognosis ◽  
Survival Rates ◽  
C Reactive Protein ◽  
Happy Ending ◽  
Factors Associated ◽  
Reactive Protein ◽  
Tertiary Center ◽  
D Dimer

(1) Background: There are limited clinical data in patients from the Eastern European regions hospitalized for a severe form of Coronavirus disease 2019 (COVID-19). This study aims to identify risk factors associated with intra-hospital mortality in patients with COVID-19 severe pneumonia admitted to a tertiary center in Iasi, Romania. (2) Methods: The study is of a unicentric retrospective observational type and includes 150 patients with severe COVID-19 pneumonia divided into two subgroups, survivors and non-survivors. Demographic and clinical parameters, as well as comorbidities, laboratory and imaging investigations upon admission, treatments, and evolution during hospitalization were recorded. First, we sought to identify the risk factors associated with intra-hospital mortality using logistic regression. Secondly, we assessed the correlations between D-Dimer and C-reactive protein and predictors of poor prognosis. (3) Results: The predictors of in-hospital mortality identified in the study are D-dimers >0.5 mg/L (p = 0.002), C-reactive protein >5mg/L (p = 0.001), and heart rate above 100 beats per minute (p = 0.001). The biomarkers were also significantly correlated the need for mechanical ventilation, admission to intensive care unit, or multiple organ dysfunction syndrome. By area under the curve (AUC) analysis, we noticed that both D-Dimer (AUC 0.741) and C-reactive protein (AUC 0.707) exhibit adequate performance in predicting a poor prognosis in patients with severe viral infection. (4) Conclusions: COVID-19′s outcome is significantly influenced by several laboratory and clinical factors. As mortality induced by severe COVID-19 pneumonia is considerable, the identification of risk factors associated with negative outcome coupled with an early therapeutic approach are of paramount importance, as they may significantly improve the outcome and survival rates.

scholarly journals The socioeconomic burden of chronic lung disease in low-resource settings across the globe – an observational FRESH AIR study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Evelyn A. Brakema ◽  
◽  
Aizhamal Tabyshova ◽  
Rianne M. J. J. van der Kleij ◽  
Talant Sooronbaev ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Disease ◽  
Solid Fuel ◽  
Chronic Lung Disease ◽  
Linear Regression Models ◽  
Fuel Use ◽  
Activity Impairment ◽  
Low Resource Settings ◽  
Low Resource ◽  
Socioeconomic Burden

Abstract Background Low-resource settings are disproportionally burdened by chronic lung disease due to early childhood disadvantages and indoor/outdoor air pollution. However, data on the socioeconomic impact of respiratory diseases in these settings are largely lacking. Therefore, we aimed to estimate the chronic lung disease-related socioeconomic burden in diverse low-resource settings across the globe. To inform governmental and health policy, we focused on work productivity and activity impairment and its modifiable clinical and environmental risk factors. Methods We performed a cross-sectional, observational FRESH AIR study in Uganda, Vietnam, Kyrgyzstan, and Greece. We assessed the chronic lung disease-related socioeconomic burden using validated questionnaires among spirometry-diagnosed COPD and/or asthma patients (total N = 1040). Predictors for a higher burden were studied using multivariable linear regression models including demographics (e.g. age, gender), health parameters (breathlessness, comorbidities), and risk factors for chronic lung disease (smoking, solid fuel use). We applied identical models per country, which we subsequently meta-analyzed. Results Employed patients reported a median [IQR] overall work impairment due to chronic lung disease of 30% [1.8–51.7] and decreased productivity (presenteeism) of 20.0% [0.0–40.0]. Remarkably, work time missed (absenteeism) was 0.0% [0.0–16.7]. The total population reported 40.0% [20.0–60.0] impairment in daily activities. Breathlessness severity (MRC-scale) (B = 8.92, 95%CI = 7.47–10.36), smoking (B = 5.97, 95%CI = 1.73–10.22), and solid fuel use (B = 3.94, 95%CI = 0.56–7.31) were potentially modifiable risk factors for impairment. Conclusions In low-resource settings, chronic lung disease-related absenteeism is relatively low compared to the substantial presenteeism and activity impairment. Possibly, given the lack of social security systems, relatively few people take days off work at the expense of decreased productivity. Breathlessness (MRC-score), smoking, and solid fuel use are potentially modifiable predictors for higher impairment. Results warrant increased awareness, preventive actions and clinical management of lung diseases in low-resource settings from health policymakers and healthcare workers.

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