BACKGROUND: Admitting patients with interstitial lung disease (ILD) to the ICU is controversial, due to their associated high mortality when they require invasive mechanical ventilation. We aimed to determine the risk factors for mortality in ILD patients requiring ICU support due to acute respiratory failure. METHODS: An observational cohort study was performed in 2 chest diseases teaching hospitals. We included all ILD patients with acute respiratory failure admitted between 2008 and 2010. Subject demographics, noninvasive ventilation (NIV) and invasive ventilation use, and mortality were obtained from medical records. Subjects receiving NIV were divided based on their continuous or non-continuous demand for NIV. NIV failure was defined as intubation for invasive ventilation, or death during NIV. Cox regression analysis was used to determine the hazard ratio for NIV failure. RESULTS: We enrolled 120 subjects: 71 male, median age 66 years. The types of ILD were idiopathic pulmonary fibrosis (n ‫؍‬ 96), collagen vascular disease (n ‫؍‬ 10), silicosis (n ‫؍‬ 9), drug induced (n ‫؍‬ 3), and eosinophilic pneumonia (n ‫؍‬ 2). The median (IQR) Acute Physiology and Chronic Health Evaluation (APACHE II) score was 24 (19 -31), and 75 (62.5%) subjects received NIV on ICU admission, 47 (62.7%) of whom needed continuous NIV. The NIV failure rate was 49.3% (n ‫؍‬ 37). The mortality rates of continuous NIV, non-continuous NIV, invasive ventilation, and total ICU were 61.7% (29/47), 10.7% (3/28), 89.7% (61/68), 60% (72/120), respectively. APACHE II > 20 and continuous NIV demand indicated significant risk for NIV failure: hazard ratio 2.77 (95% CI 1.19 -6.45), P < .02, and 5.12, (1.44 -18.19), P < .01, respectively. CONCLUSIONS: Because of higher mortality, physicians should consider invasive ventilation cautiously in the ICU management of ILD patients with acute respiratory failure. NIV may be an option in less severely ill patients with APACHE II score < 20.

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Objective: To compare the effects of a home-based pulmonary rehabilitation (PR) program with and without telecoaching on health-related outcomes in COVID-19 survivors. Methods: A total of 42 COVID-19 patients who completed medical treatment were randomly divided into two groups: the study (telecoaching) group (n = 21) and the control (no telecoaching) group (n = 21). Both groups participated in an 8-week home-based PR program including education, breathing exercises, strength training, and regular walking. The study group received phone calls from a physiotherapist once a week. Both groups of patients were assessed before and after the program by means of the following: pulmonary function tests; the modified Medical Research Council dyspnea scale; the six-minute walk test; extremity muscle strength measurement; the Saint George's Respiratory Questionnaire (to assess disease-related quality of life); the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36, to assess overall quality of life); and the Hospital Anxiety and Depression Scale. Results: In both groups, there were significant improvements in the following: FVC; the six-minute walk distance; right and left deltoid muscle strength; Saint George's Respiratory Questionnaire activity domain, impact domain, and total scores; and SF-36 social functioning, role-physical, role-emotional, and bodily pain domain scores (p < 0.05). Decreases in daily-life dyspnea, exertional dyspnea, and exertional fatigue were significant in the study group (p < 0.05), and the improvement in SF-36 social functioning domain scores was greater in the study group (p < 0.05). Conclusions: A home-based PR program with telecoaching increases social functioning and decreases daily-life dyspnea, exertional dyspnea, and exertional fatigue in COVID-19 survivors in comparison with a home-based PR program without telecoaching.

Influenza A (H1N1) caused its first pandemic in 2009 in USA and Mexico. Since then, clinicians have exercised great care in order to make an early diagnosis of viral pneumonias. This is due in part to pandemic influenza A infection having greater impact on populations <65 years old than other viral strains, including seasonal influenza. Chest radiographies of those affected displayed a rapid progression of patchy infiltrates, and a large proportion of individuals required admission to intensive care units (ICU). Despite efforts, patients infected with the virus had a high mortality rate. The present multicenter study aimed to retrospectively evaluate the clinical, demographic and prognostic characteristics of patients diagnosed with epidemic viral pneumonia in Turkey. A total of 92 patients were included in the study. The Student's t-test and Chi-square tests were performed to analyze quantitative data, assuming a normal distribution, and to analyze qualitative data, respectively. Stepwise logistic regression was used to evaluate the effects of demographic variables and laboratory values on the virus mortality rate. The male/female ratio was 42/50 and the mean age was 48.74±16.65 years. A total of 69 (75%) patients were unvaccinated against influenza. The most common symptoms were cough (87%) and fever (63%). Chest computed tomography showed peripheral patchy areas of the lungs of ground glass density in 38 patients (41.3%). A total of 22 (59.4%) patients had H1N1, 5 (12.5%) patients had influenza B, and 38 (41.3%) patients met the criteria for admission to the ICU. Of these patients, 20 (52.63%) were monitored with a mechanical ventilator, with a noninvasive ventilator being adequate for 10 (26.32%) of patients. The length of stay in the ICU was 6.45±5.97 days and the duration of mechanical ventilation was 5.06±4.69 days. A total of 12 (13.04%) patients in the ICU succumbed. Logistic regression analysis revealed that among the parameters possibly associated with mortality, being an active smoker increased the risk of mortality 7.08-fold compared to other groups (P=0.005). In conclusion, viral pneumonia remains a significant health problem during the winter period. Considering the high number of ICU admissions and high rate of mortality for patients in the present study, earlier initiation of antiviral therapy is necessary. Active smoking increased mortality in viral pneumonia.

Background:The influence of meteorological conditions on cardiovascular morbidity and mortality has been known for a long time. However, few reports have been published on the influence of meteorological parameters on the occurrence of acute pulmonary embolism (PE). Aims: In this retrospective study, we compared the meteorological parameters between PE patients with risk factors and idiopathic PE patients. Study Design: Cross-sectional study. Methods: Medical documentation of 1180 patients with suspected acute pulmonary embolism diagnosed between January 2010 and December 2012 was retrospectively analyzed. A total of 530 patients with PE confirmed by computed tomography pulmonary angiography and/or ventilation/perfusion scan were included for further analysis. We divided the patients into two groups: PE with risk factors (provoked) and PE without risk factors (unprovoked). The meteorological data were collected from the relevant time period: temperature, humidity, pressure, and wind velocity. As the exact time of PE onset was unknown, the meteorological values attributed to each patient were the means of the values in the months or weeks at the time of diagnosis of PE. Results:The highest numbers of cases were seen in autumn (29.8%), followed by summer (28.9%), spring (22.1%), and winter (19.2%). In terms of months, the greatest number of cases occurred in June (57), followed by November (56) and October (54). Case distribution according to the months and seasons were statistically significant. The wind direction also affected the incidence of PE. There was a statistically significant positive correlation between case frequency and air temperature (r=0.300; p=0.031). No correlation was found between the unprovoked PE cases' monthly distribution and pressure, humidity, or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with provoked PE cases and air temperature (r=0.586; p=0.045). Conclusion: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases was observed in our study, which is in accordance with other reports. However, in unprovoked PE cases, there was no correlation between meteorological parameters and case incidence.