[The Evaluation of Long Coronavirus Disease Symptoms at Ninth Month from a Hospital in Türkiye]. / Türkiye'deki Bir Hastanede Dokuzuncu Ayda Uzamis Koronavirüs Hastaligi Belirtilerinin Degerlendirilmesi.

Long COVID is defined as symptoms related to various organs following COVID-19. There is currently very little information available about the prevalence of these symptoms and their long-term recovery time. The aim of this study was to describe the symptoms that persisted nine months after COVID-19. This cross-sectional study was conducted in Antalya, Türkiye, between November 1 and 30, 2020 on COVID-19 patients. Patients were contacted approximately nine months later by two infectious diseases physicians, and the questionnaire which included 27 symptoms was completed. Of the 390 patients who met the criteria, 329 agreed to participate in the study. Patients' average age was 48.9 ± 14.4 years, and 51.7% were male. 79.3% of the people still had at least one symptom at the end of the ninth month. The most common symptoms were weakness-fatigue (54.7%), forgetfulness (45.3%), effort loss (35.0%), sleep disturbance (34.3%), joint pain (27.4%), and hair loss (23.4%). According to analysis performed in terms of sex; hair loss, diarrhea, nausea, dizziness, sore throat, loss of taste and smell were more common in women than in men (p= 0.042, p= 0.047, p= 0.050, p= 0.026, p= 0.016, p= 0.036, p= 0.027, respectively). Individuals aged 65 years and over had a significantly lower number of symptoms (p= 0.029) than all other age groups. Furthermore, the number of symptoms was higher in patients who used steroids (p= 0.049). This study is an important source of information on the long-term symptoms of COVID-19. Our results have shown that the symptoms associated with COVID-19 do not completely resolve even after nine months, which explains why long COVID requires continuous monitoring.

Capacity Evaluation of Diagnostic Tests For COVID-19 Using Multicriteria Decision-Making Techniques.

In December 2019, cases of pneumonia were detected in Wuhan, China, which were caused by the highly contagious coronavirus. This study is aimed at comparing the confusion regarding the selection of effective diagnostic methods to make a mutual comparison among existing SARS-CoV-2 diagnostic tests and at determining the most effective one. Based on available published evidence and clinical practice, diagnostic tests of coronavirus disease (COVID-19) were evaluated by multi-criteria decision-making (MCDM) methods, namely, fuzzy preference ranking organization method for enrichment evaluation (fuzzy PROMETHEE) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS). Computerized tomography of chest (chest CT), the detection of viral nucleic acid by polymerase chain reaction, cell culture, CoV-19 antigen detection, CoV-19 antibody IgM, CoV-19 antibody IgG, and chest X-ray were evaluated by linguistic fuzzy scale to compare among the diagnostic tests. This scale consists of selected parameters that possessed different weights which were determined by the experts' opinions of the field. The results of our study with both proposed MCDM methods indicated that the most effective diagnosis method of COVID-19 was chest CT. It is interesting to note that the methods that are consistently used in the diagnosis of viral diseases were ranked in second place for the diagnosis of COVID-19. However, each country should use appropriate diagnostic solutions according to its own resources. Our findings also show which diagnostic systems can be used in combination.