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Turkish Thoracic Journal ; 22(3):247-250, 2021.
Article in English | EMBASE | ID: covidwho-1264628


OBJECTIVE: To evaluate the clinical features and outcomes of patients who were admitted with a diagnosis of coronavirus disease 2019 (COVID-19) but who were not confirmed with polymerase chain reaction (PCR) positivity. MATERIAL AND METHODS: This is a retrospective analysis of all patients admitted to two tertiary care centers between March 15 and May 15, 2020, with a diagnosis of COVID-19. From a common database prepared for COVID-19, we retrieved the relevant data and compared the clinical findings and outcomes of PCR-positive patients with those of PCR-negative cases who had been diagnosed on the basis of typical clinical and radiographic findings. RESULTS: A total of 349 patients were included in the analysis, of which 126 (36.1%) were PCR-negative. PCR-negative patients were younger (54.6 ± 20.8 vs. 60.8 ± 18.9 years, P = .009) but were similar to PCR-positive patients in terms of demographics, comorbidities, and presenting symptoms. They had higher lymphocyte counts (1519 ± 868 vs. 1331 ± 737/mm3, P = .02) and less frequently presented with bilateral radiographic findings (68.3% vs. 79.4%, P = .046) than PCR-positive patients. Besides, they had less severe disease and better clinical outcomes regarding admission to the intensive care unit (9.6% vs. 20.6%, P = .023), oxygen therapy (21.4% vs. 43.5%, P < .001), ventilatory support (3.2% vs. 11.2%, P = .03) and length of hospital stay (5.0 ± 5.0 vs. 9.7 ± 5.9 days, P < .001). CONCLUSION: This study confirms that about one-third of the COVID-19 patients are PCR-negative and diagnosed based on clinicaand radiographic findings. These patients have a more favorable clinical course, shorter hospital stays, and are less frequently admitteto the intensive care unit.

Annals of Clinical and Laboratory Science ; 50(6):848-851, 2020.
Article in English | Web of Science | ID: covidwho-1001036


Objective. To investigate the course of biomarkers on admission and follow-up in order to identify early predictors for poor outcome in COVID-19 patients. Methods. In this study, 132 COVID-19 patients were classified as good outcome (n=62) and poor outcome (n=70) groups. Laboratory parameters were evaluated on admission and within 5-7 days after hospitalization. Results. Baseline levels of neutrophil-lymphocyte ratio, CRP, procalcitonin, ferritin, D-dimer and LDH were higher (p<0.01);lymphocyte count was lower in the poor outcome patients. During follow-up there was a larger decrease in lymphocyte count and more prominent increases in other biomarkers (p<0.001). In ROC analysis, the AUCs strongly indicated the poor outcome on days 5-7 of the hospitalization. Conclusions. This study suggests that the follow-up measurements of the biomarkers better predict the poor outcome in COVID-19 pneumonia.