Vanya Kostadinova Stefanova
Publications by Vanya Kostadinova Stefanova
2 publications found • Active 2017-2018
2018
1 publicationRole of D-dimer in Predicting Severity and Mortality of Community-acquired Pneumonia
Introduction: Coagulation disturbances are one of the markers of systemic inflammation. Aim: To evaluate the role of D-dimer (DD) in predicting severity and mortality of hospitalized patients with community-acquired pneumonia. Material and Methods:143 CAP patients hospitalized in the Clinic of Pneumology and Phthisiatrics at “Saint Marina†University Hospital were retrospectively studied. D-dimer was measured on admission by latex-enhanced immunoturbidimetric method with reference value of 0,232mg/L. The severity of CAP was determined by PSI, CURB-65 and IDSA/ATS criteria. Results: Patients were on mean age 62.12±15.54 years, 59.4% - male. Elevated levels of D-dimer were found in 86.70% of the patients. The mean DD in non-survivors was significantly higher than in survivors (2.19±2.01mg/L vs. 1.28±1.46mg/L, р<0.05). DD increased significantly with increasing the severity group according to PSI, CURB-65 and IDSA/ATS criteria, but the correlation coefficients were weak (r=0.25; r=0.23; r=0.22 resp., p<0.001). DD>1mg/L increased the risk for in-hospital mortality with OR 4.25 (1.48-12.14; p<0.01). Conclusion: D-dimer is able to predict severity and outcome of CAP.
2017
1 publicationAnalysis of the In-hospital Mortality in Patients with Community-acquired Pneumonia
Introduction: Community-acquired pneumonia (CAP) is a common disease with frequent hospitalization and still high mortality rate. Aim: To analyze the clinical characteristics of patients who died in the hospital from CAP. Materials and Methods: 1292 patients hospitalized in the Clinic of Pneumonology and Phthisiatrics of MHAT “Saint Marina†– Varna were retrospectively studied for the period 2012 to 2015. Data were analyzed with statistical program SPSS.20. Results: 148 patients (11.5%) died during the hospital stay. The non-survivors were significantly older than the survivors (67.6±14.2 vs. 58.9±17.1 years, p<0.001). No significant difference in the mortality rate between male and female was proven (12.3 % vs. 10.3 %, р=0.15). Charlson comorbidity index was significantly higher in non-survivors compared to survivors (3.28±2.21 vs. 1.36±1.63, p<0.001). Patients with dementia, carcinoma with metastases and cerebrovascular disease as concomitant comorbidities had the highest risk of dying in the hospital (OR 6.86 (3.97-11.84); 4.33 (1.43-13.12); 4.05 (2.77-5.92) resp. p<0.05) C-reactive protein was also significantly higher in non-survivors compared to survivors (171.85±83.17mg/L vs.123.42±99.68mg/L, р<0.001). The most common complication was acute respiratory failure (89.9%). Of the deceased patients 16.9% did not meet the criteria for severe CAP according to IDSA/ATS on admission. Most of the deceased patients (52%) died within the first 3 days of the hospital stay. Conclusion: Older patients with comorbidities had higher risk of dying in the hospital. Patients with CAP need intensified monitoring especially in the first 3 days even if they do not have severe pneumonia on admission.
