The presence of symptoms within 6 months after COVID-19: a single-center longitudinal study.

BACKGROUND: Characterizing the post-COVID health conditions is helpful to direct patients to appropriate healthcare. AIMS: To describe the presence of symptoms in COVID-19 patients within 6 months after diagnosis and to investigate the associated factors in terms of reporting symptoms. METHODS: Data of DEU-COVIMER (a telephone interview-based COVID-19 follow-up center established in a tertiary care hospital) was analyzed for SARS-CoV-2 RNA positive participants aged ≥ 18 years from November 1st, 2020, to May 31st, 2021. Symptom frequencies were stratified by demographic and clinical characteristics at one, three, and 6 months after diagnosis. With the patients who had symptoms at baseline, generalized estimating equations were applied to identify the factors associated with reporting of symptoms. RESULTS: A total of 5610 patients agreed to participate in the study. Symptom frequency was 37.2%, 21.8%, and 18.2% for the first, third, and sixth months. Tiredness/fatigue, muscle or body aches, and dyspnea/difficulty breathing were the most common symptoms in all time frames. In multivariate analysis, older age, female gender (odds ratio OR 1.74, 95% confidence interval 1.57-1.93), bad economic status (OR 1.37, 1.14-1.65), current smoking (OR 1.15, 1.02-1.29), being fully vaccinated before COVID-19 (OR 0.53, 0.40-0.72), having more health conditions (≥ 3 conditions, OR 1.78, 1.33-2.37), having more symptoms (> 5 symptoms, OR 2.47, 2.19-2.78), and hospitalization (intensive care unit, OR 2.18, 1.51-3.14) were associated with reporting of symptoms. CONCLUSIONS: This study identifies risk factors for patients who experience post-COVID-19 symptoms. Healthcare providers should appropriately allocate resources prioritizing the patients who would benefit from post-COVID rehabilitation.

The association of antiviral drugs with COVID-19 morbidity: The retrospective analysis of a nationwide COVID-19 cohort.

Background and objectives: Although several repurposed antiviral drugs have been used for the treatment of COVID-19, only a few such as remdesivir and molnupiravir have shown promising effects. The objectives of our study were to investigate the association of repurposed antiviral drugs with COVID-19 morbidity. Methods: Patients admitted to 26 different hospitals located in 16 different provinces between March 11-July 18, 2020, were enrolled. Case definition was based on WHO criteria. Patients were managed according to the guidelines by Scientific Board of Ministry of Health of Turkey. Primary outcomes were length of hospitalization, intensive care unit (ICU) requirement, and intubation. Results: We retrospectively evaluated 1,472 COVID-19 adult patients; 57.1% were men (mean age = 51.9 ± 17.7years). A total of 210 (14.3%) had severe pneumonia, 115 (7.8%) were admitted to ICUs, and 69 (4.7%) were intubated during hospitalization. The median (interquartile range) of duration of hospitalization, including ICU admission, was 7 (5-12) days. Favipiravir (n = 328), lopinavir/ritonavir (n = 55), and oseltamivir (n = 761) were administered as antiviral agents, and hydroxychloroquine (HCQ, n = 1,382) and azithromycin (n = 738) were used for their immunomodulatory activity. Lopinavir/ritonavir (ß [95% CI]: 4.71 [2.31-7.11]; p = 0.001), favipiravir (ß [95% CI]: 3.55 [2.56-4.55]; p = 0.001) and HCQ (ß [95% CI]: 0.84 [0.02-1.67]; p = 0.046) were associated with increased risk of lengthy hospital stays. Furthermore, favipiravir was associated with increased risks of ICU admission (OR [95% CI]: 3.02 [1.70-5.35]; p = 0.001) and invasive mechanical ventilation requirement (OR [95% CI]: 2.94 [1.28-6.75]; p = 0.011). Conclusion: Our findings demonstrated that antiviral drugs including lopinavir, ritonavir, and favipiravir were associated with negative clinical outcomes such as increased risks for lengthy hospital stay, ICU admission, and invasive mechanical ventilation requirement. Therefore, repurposing such agents without proven clinical evidence might not be the best approach for COVID-19 treatment.

The association of antiviral drugs with COVID-19 morbidity: The retrospective analysis of a nationwide COVID-19 cohort

Background and objectives Although several repurposed antiviral drugs have been used for the treatment of COVID-19, only a few such as remdesivir and molnupiravir have shown promising effects. The objectives of our study were to investigate the association of repurposed antiviral drugs with COVID-19 morbidity. Methods Patients admitted to 26 different hospitals located in 16 different provinces between March 11–July 18, 2020, were enrolled. Case definition was based on WHO criteria. Patients were managed according to the guidelines by Scientific Board of Ministry of Health of Turkey. Primary outcomes were length of hospitalization, intensive care unit (ICU) requirement, and intubation. Results We retrospectively evaluated 1,472 COVID-19 adult patients;57.1% were men (mean age = 51.9 ± 17.7years). A total of 210 (14.3%) had severe pneumonia, 115 (7.8%) were admitted to ICUs, and 69 (4.7%) were intubated during hospitalization. The median (interquartile range) of duration of hospitalization, including ICU admission, was 7 (5–12) days. Favipiravir (n = 328), lopinavir/ritonavir (n = 55), and oseltamivir (n = 761) were administered as antiviral agents, and hydroxychloroquine (HCQ, n = 1,382) and azithromycin (n = 738) were used for their immunomodulatory activity. Lopinavir/ritonavir (β [95% CI]: 4.71 [2.31–7.11];p = 0.001), favipiravir (β [95% CI]: 3.55 [2.56–4.55];p = 0.001) and HCQ (β [95% CI]: 0.84 [0.02–1.67];p = 0.046) were associated with increased risk of lengthy hospital stays. Furthermore, favipiravir was associated with increased risks of ICU admission (OR [95% CI]: 3.02 [1.70–5.35];p = 0.001) and invasive mechanical ventilation requirement (OR [95% CI]: 2.94 [1.28–6.75];p = 0.011). Conclusion Our findings demonstrated that antiviral drugs including lopinavir, ritonavir, and favipiravir were associated with negative clinical outcomes such as increased risks for lengthy hospital stay, ICU admission, and invasive mechanical ventilation requirement. Therefore, repurposing such agents without proven clinical evidence might not be the best approach for COVID-19 treatment.

Turkish Thoracic Society's Statement Report on Electronic Cigarettes and Heated Tobacco Products.

Tobacco addiction, which causes the death of more than 8.5 million people in the world every year, is a preventable global public health problem. There are 1.1 billion adult smokers worldwide and 60% of them desire or intend to quit but unfortunately, the tobacco industry continues to profit at the expense of people's lives by marketing electronic cigarettes and heated tobacco products as a smoking cessation method and they continue to poison young people with new threat tobacco products, promising a "smoke-free future" Turkish Thoracic Society is actively involved in the implementation of the National Tobacco Control Program to protect public health and has warned and raised awareness of new threats to the youth, such as electronic cigarettes and heated tobacco products. The purpose of this report is to provide information about electronic cigarettes and heated tobacco products and to present TTJ's position on the subject.

Prevalence of Gastrointestinal Symptoms and Clinical Outcomes in Hospitalized Coronavirus Disease 2019 Patients: A Single-Center Study from Turkey.

BACKGROUND: In patients with coronavirus disease 2019, the gastrointestinal symptoms have been reported increasingly in addition to the respiratory system symptoms. The studies show that the prevalence of gastrointestinal system symptoms and how the gastrointestinal system contributes to the severity and prognosis of the disease is still not clear. This study aims to find the prevalence of gastrointestinal symptoms and the correlation between the gastrointestinal symptoms and the clinical results in hospitalized patients diagnosed with coronavirus disease 2019. METHODS: This study retrospectively analyzes patients diagnosed with coronavirus disease 2019 and hospitalized in the pandemic unit between March 2020 and August 2020 and compares their demographic and clinical characteristics, laboratory and radiologic findings, coronavirus disease 2019 treatments received, the clinical course of the disease, and the gastrointestinal symptoms. RESULTS: In our study, we included 322 patients diagnosed with coronavirus disease 2019 and hospitalized; 39 patients (12.1%) were admitted to the hospital with at least one gastrointestinal symptom (nausea and vomiting, diarrhea, abdominal pain, and the loss of taste). Nausea and vomiting are the most common gastrointestinal symptoms with a prevalence of 7.1%, followed by diarrhea with 2.8%, the loss of taste with 2.2%, and abdominal pain with 1.5%. The mean age and D-dimer levels of the patients showing gastrointestinal symptoms were lower than those who did not have any gastrointestinal symptoms. We did not find a significant correlation between the presence of the gastrointestinal symptoms and the severity of the disease, treatment received, risk of acute respiratory distress syndrome and septic shock, admission to the intensive care unit, the need for mechanical ventilation, the mortality rate or the length of hospitalization in the medical floor or the intensive care unit. CONCLUSION: In this study, we observed that 12.1% of coronavirus disease 2019 patients apply to the hospital due to gastrointestinal symptoms. Furthermore, the gastrointestinal symptoms do not seem to affect the severity and the course of the disease, it is important to identify coronavirus disease 2019 patients showing unusual symptoms such as the gastrointestinal symptoms at an early stage to protect healthcare professionals from infection risk.

Clinical Predictors of Response to Tocilizumab: A Retrospective Multicenter Study.

OBJECTIVE: A substantial number of patients with coronavirus disease-2019 (COVID-19) demonstrate severe infection. Cytokine storm is an underlying condition that worsens clinical outcomes. As an interleukin-6 receptor antagonist, tocilizumab is a promising treatment option for COVID-19. This study aimed to evaluate the clinical predictors of mortality for critically ill COVID-19 patients receiving tocilizumab therapy. MATERIAL AND METHODS: The retrospective cohort study was conducted in 4 centers' both wards and intensive care units between March 20 and May 20, 2020. Demographic, clinical, and laboratory data were consecutively drawn from medical records. The primary endpoint was in-hospital mortality. RESULTS: In this study, 39 patients (28.2% female) were included, and the mortality rate was 25.6% (n = 10). There was statistically significant difference between survivor and non-survivor groups regarding age (53.0 (46.5-65.0) vs. 75.0 (68.25-81.25), respectively,P = .001), CALL score (8.0 (7.0-10.0) vs. 12.0 (9.75-13.0), P = .001), GRAM score (119.5 (99.5-142.0) vs. 155.0 (129.8-226.0), P = .004), and white blood cell count (k/mL) (5.6 (3.8-8.6) vs. 8.0 (7.6-9.3), P = .003). The patients who were on invasive mechanical ventilation at the time of tocilizumab administration had a higher mortality rate (100% vs. 25.9%, P < .001). Besides, arterial partial pressure of oxygen/ fraction of inspiratory oxygen (PaO2/FiO2) ratio on day 7, but not on days 0, 1, and 3 of tocilizumab therapy, was associated with mortal- ity. C-reactive protein (mg/dL) tended to be lower in the survivor group; however, it was not statistically significant (68.4 (32.7-157.5) vs. 113.5 (77.7-219.0), P = .058). CONCLUSION: This study demonstrated that advanced age, increased leukocyte count, higher CALL and GRAM scores, and the need for invasive mechanical ventilation revealed a worse prognosis after tocilizumab treatment.

Clinical Outcome of PCR-Negative COVID-19 Patients: A Retrospective Study.

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 clinical and radiographic findings. These patients have a more favorable clinical course, shorter hospital stays, and are less frequently admitted to the intensive care unit.

COVID-19: vaccination vs. hospitalization.

OBJECTIVE: Vaccination is the most efficient way to control the coronavirus disease 2019 (COVID-19) pandemic, but vaccination rates remain below the target level in most countries. This multicenter study aimed to evaluate the vaccination status of hospitalized patients and compare two different booster vaccine protocols. SETTING: Inoculation in Turkey began in mid-January 2021. Sinovac was the only available vaccine until April 2021, when BioNTech was added. At the beginning of July 2021, the government offered a third booster dose to healthcare workers and people aged > 50 years who had received the two doses of Sinovac. Of the participants who received a booster, most chose BioNTech as the third dose. METHODS: We collected data from 25 hospitals in 16 cities. Patients hospitalized between August 1 and 10, 2021, were included and categorized into eight groups according to their vaccination status. RESULTS: We identified 1401 patients, of which 529 (37.7%) were admitted to intensive care units. Nearly half (47.8%) of the patients were not vaccinated, and those with two doses of Sinovac formed the second largest group (32.9%). Hospitalizations were lower in the group which received 2 doses of Sinovac and a booster dose of BioNTech than in the group which received 3 doses of Sinovac. CONCLUSION: Effective vaccinations decreased COVID-19-related hospitalizations. The efficacy after two doses of Sinovac may decrease over time; however, it may be enhanced by adding a booster dose. Moreover, unvaccinated patients may be persuaded to undergo vaccination.

Facing the Pandemic: Burnout in Physicians in Turkey.

OBJECTIVE: During the COVID-19 pandemic, physicians have been working for long hours, with the fear of contracting the disease and infecting their families. Therefore, there are great concerns about the mental health of physicians. In this research, we aimed to reveal the factors that affect the burnout among physicians working during the pandemic. MATERIAL AND METHODS: This is a cross-sectional study involving physicians working during the pandemic in health institutions that admit COVID-19 patients. A questionnaire form consisting of the "Sociodemographic Data Form" and the "Maslach Burnout Inventory (MBI)" was used. The questionnaire was sent to the contact numbers of physicians via the internet. The target population was reached through the communication groups of the Turkish Thoracic Society and other professional associations, the communication groups of health institutions, and also through personal correspondence. Burnout was evaluated with the scores of each participant from the 3 subscales of Emotional Exhaustion (EE), Depersonalization (DP), and Lack of Accomplishment (LA). RESULTS: Of the 1177 physicians who participated in the survey, 893 answered the survey completely. Females comprised 56.70% (n = 506) of the respondents, and the mean age was 38.63 (±11.65). The residents (41%, n = 366) and specialists (31%, n = 277) made up the majority of the physicians. Eighty-six percent (n = 768) of the physicians had difficulty in obtaining personal protective equipment (PPE). It was determined that 81.7% (n = 730) of the 893 physicians were actively working in pandemic units (outpatient clinics, emergencies, inpatient clinics, intensive care units), and burnout was significantly higher in these physicians (P < .01). After excluding other confounding factors by regression analysis, their Maslach total scores and EE scores were found to be significantly high (P = .001). CONCLUSION: Working in pandemic units and facing difficulty in accessing PPE are identified as the most important risk factors for burnout. Hence, we can say that working with PPE, and with the managers' discretion and support, the physicians' burnout can be prevented.

The Efficacy of Hydroxychloroquine and Azithromycin Combination Therapy on Hospital Mortality in COVID 19 Pneumonia Patients.

BACKGROUND/AIM: Effective therapeutic approaches for SARS-CoV-2 pandemic are urgently needed. Hydroxychloroquine (HCQ) alone or in combination with azithromycin has been used in several countries, without any clear evidence. This study aimed to determine the effectiveness and safety of hydroxychloroquine as compared to hydroxychloroquine and azithromycin combination in patients with COVID-19 pneumonia. MATERIALS AND METHODS: This retrospective study evaluated all patients admitted to two university hospitals between 18 March and 20 May 2020 with the diagnosis of COVID-19 pneumonia. Out of 496 patients, 370 met the eligibility criteria and were included in the final analysis. The primary outcome was in-hospital mortality. Secondary outcomes were time to recovery, presence of severe acute respiratory infection (SARI), the requirement for oxygen therapy, and/or mechanical ventilation, length of hospital stay, and adverse events. RESULTS: A total of 222 patients received hydroxychloroquine and 148 were treated with HCQ and azithromycin combination. The in-hospital mortality rates were similar in the two groups (10.8% vs. 6.8%, respectively, p=0.186). Additionally, the needs for oxygen therapy, invasive mechanic ventilation (IMV) and intensive care unit (ICU) admission were not different. The rate of the requirement of non-invasive mechanic ventilation (NIV) was higher in patients receiving HCQ plus azithromycin (10.1% vs. 4.5%, p=0.035). Time to recovery was 3.5 days in HCQ and 5.0 days in HCQ plus azithromycin group (p<0.001). The median length of hospital stay was longer in patients with the combination therapy (7.0 vs. 5.5 days, p<0.001). Amongst all patients, only 3 patients developed electrocardiographic changes needing discontinuation of therapy. LIMITATIONS: Observational design of the study is the main limitation. CONCLUSIONS: The present findings suggest that adding azithromycin to HCQ is not associated with any improvement in clinical outcome and mortality in patients with COVID-19 pneumonia and supports the current knowledge not to include azithromycin in the initial treatment of COVID-19.

COVID-19 Pandemic Action Plan of a University Hospital.

In December 2019, in Wuhan, China, scientists observed a sudden and sharp increase in the number of cases of pneumonia and acute respiratory distress syndrome of an unknown origin. By the end of January 2020, the outbreak had spread to Asia, Europe, America, and Australia. In this article, we have outlined the pandemic action plan of our university hospital.

The predictors of COVID-19 mortality in a nationwide cohort of Turkish patients.

The COVID-19-related death rate varies between countries and is affected by various risk factors. This multicenter registry study was designed to evaluate the mortality rate and the related risk factors in Turkey. We retrospectively evaluated 1500 adults with COVID-19 from 26 centers who were hospitalized between March 11 and July 31, 2020. In the study group, 1041 and 459 cases were diagnosed as definite and highly probable cases, respectively. There were 993 PCR-positive cases (66.2%). Among all cases, 1144 (76.3%) were diagnosed with non-severe pneumonia, whereas 212 (14.1%) had severe pneumonia. Death occurred in 67 patients, corresponding to a mortality rate of 4.5% (95% CI:3.5-5.6). The univariate analysis demonstrated that various factors, including male sex, age ≥65 years and the presence of dyspnea or confusion, malignity, chronic obstructive lung disease, interstitial lung disease, immunosuppressive conditions, severe pneumonia, multiorgan dysfunction, and sepsis, were positively associated with mortality. Favipiravir, hydroxychloroquine and azithromycin were not associated with survival. Following multivariate analysis, male sex, severe pneumonia, multiorgan dysfunction, malignancy, sepsis and interstitial lung diseases were found to be independent risk factors for mortality. Among the biomarkers, procalcitonin levels on the 3rd-5th days of admission showed the strongest associations with mortality (OR: 6.18; 1.6-23.93). This study demonstrated that the mortality rate in hospitalized patients in the early phase of the COVID-19 pandemic was a serious threat and that those patients with male sex, severe pneumonia, multiorgan dysfunction, malignancy, sepsis and interstitial lung diseases were at increased risk of mortality; therefore, such patients should be closely monitored.

COVID-19 Pandemic and the Global Perspective of Turkish Thoracic Society.

It has been more than 3 months now since the first case of COVID-19 was reported in Turkey. Globally, the number of confirmed cases and deaths reached 9,653,048 and 491,128 respectively, as reported by 216 countries by June 27, 2020. Turkey had 1,396 new cases, 194,511 total cases, and 5,065 deaths by the same date. From the first case until today, the Turkish Thoracic Society (TTS) has been very proactive in educating doctors, increasing public awareness, undertaking academic studies, and assisting with public health policies. In the present report, social, academic, and management perspectives of the pandemic are presented under appropriate subtitles. During this critical public health crisis, TTS has once again demonstrated its readiness and constructive stance by supporting public health, healthcare workers, and the environment. This review summarizes the perspective of TTS on each aspect of the COVID-19 pandemic and casts light on its contributions.

The Effect of Smoking on COVID-19 Symptom Severity: Systematic Review and Meta-Analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SAR2-COV-2) and was first identified in Wuhan, China, in December of 2019, but quickly spread to the rest of the world, causing a pandemic. While some studies have found no link between smoking status and severe COVID-19, others demonstrated a significant one. The present study aimed to determine the relationship between smoking and clinical COVID-19 severity via a systematic meta-analysis approach. METHODS: We searched the Google Scholar, PubMed, Scopus, Web of Science, and Embase databases to identify clinical studies suitable for inclusion in this meta-analysis. Studies reporting smoking status and comparing nonsevere and severe patients were included. Nonsevere cases were described as mild, common type, nonintensive care unit (ICU) treatment, survivors, and severe cases as critical, need for ICU, refractory, and nonsurvivors. RESULTS: A total of 16 articles detailing 11322 COVID-19 patients were included. Our meta-analysis revealed a relationship between a history of smoking and severe COVID-19 cases (OR = 2.17; 95% CI: 1.37-3.46; P < .001). Additionally, we found an association between the current smoking status and severe COVID-19 (OR = 1.51; 95% CI: 1.12-2.05; P < .008). In 10.7% (978/9067) of nonsmokers, COVID-19 was severe, while in active smokers, severe COVID-19 occurred in 21.2% (65/305) of cases. CONCLUSION: Active smoking and a history of smoking are clearly associated with severe COVID-19. The SARS-COV-2 epidemic should serve as an impetus for patients and those at risk to maintain good health practices and discontinue smoking. The trial is registered with the International Prospective Register of Systematic Reviews (PROSPERO) CRD42020180173.

COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging.

PURPOSE: Because of the widespread use of CT in the diagnosis of COVID 19, indeterminate presentations such as single, few or unilateral lesions amount to a considerable number. We aimed to develop a new classification and structured reporting system on CT imaging (COVID-19 S) that would facilitate the diagnosis of COVID-19 in the most accurate way. METHODS: Our retrospective cohort included 803 patients with a chest CT scan upon suspicion of COVID 19. The patients' history, physical examination, CT findings, RT PCR, and other laboratory test results were reviewed, and a final diagnosis was made as COVID 19 or non-COVID 19. Chest CT scans were classified according to the COVID 19 S CT diagnosis criteria. Cohen's kappa analysis was used. RESULTS: Final clinical diagnosis was COVID-19 in 98 patients (12%). According to the COVID-19 S CT diagnosis criteria, the number of patients in the normal, compatible with COVID 19, indeterminate and alternative diagnosis groups were 581 (72.3%), 97 (12.1%), 16 (2.0%) and 109 (13.6%). When the indeterminate group was combined with the group compatible with COVID 19, the sensitivity and specificity of COVID-19 S were 99.0% and 87.1%, with 85.8% positive predictive value (PPV) and 99.1% negative predictive value (NPV). When the indeterminate group was combined with the alternative diagnosis group, the sensitivity and specificity of COVID-19 S were 93.9% and 96.0%, with 94.8% PPV and 95.2% NPV. CONCLUSION: COVID-19 S CT classification system may meet the needs of radiologists in distinguishing COVID-19 from pneumonia of other etiologies and help optimize patient management and disease control in this pandemic by the use of structured reporting.