Comparison of Brock University, Mayo Clinic and Herder models for pretest probability of cancer in solid pulmonary nodules.

OBJECTIVE: Risk analysis models, which are used in the diagnostic algorithm of incidental pulmonary nodules, are based on patient data from developed countries. Mayo Clinic, Brock University and Herder are among the most known models. We aim to compare the reliability of these models in patients with indeterminate solid nodules and to investigate the contribution of the predictors used to the model. METHODS: We analysed 305 patients who performed transthoracic needle biopsy and positron emission tomography/computed tomography for solid nodules, retrospectively. For all three models, the malignancy risk probabilities of patients were calculated, and patients were classified as low (<5%), moderate (60%) and high (<60%) risk groups. Later, the malignancy rates of each model in three different risk groups were compared within each other and among the models. RESULTS: The malignancy rate is 73% in 305 patients. In the Mayo Clinic and Herder models, the difference in the low-, medium- and high-risk groups is significant (p < 0.001). In the medium-risk group, the rate of malignancy is 96.8% in the Brock model. In the high-risk group, the rate of malignancy in Herder is 88.3% and the rate of malignancy in Mayo Clinic is 28.8%. The optimal cutoff values for the Mayo Clinic, Brock University, and Herder were 29.6, 13.4 and 70 (AUC, respectively; 0.71, 0.67 and 0.73). Age, smoking, gender, size, emphysema and spiculation increase the likelihood of malignancy. CONCLUSION: Close results were obtained in all three models. In the high-risk group, the Herder model has the highest reliability rate (odds ratio 3.3, confidence interval [1.1, 10.2]). Upper lobe predilection is not a reliable predictor.

The impact of charlson comorbidity index on mortality from SARS-CoV-2 virus infection and A novel COVID-19 mortality index: CoLACD.

OBJECTIVE: The aim of this study is to find out the potential risk factors including charlson comorbidity index (CCI) score associated with death in COVID-19 patients hospitalised because of pneumonia and try to find a novel COVID-19 mortality score for daily use. METHODS: All patients diagnosed as confirmed or probable COVID-19 pneumonia whom hospitalised in our Chest Diseases Education and Research Hospital between March 11, 2020 and May 15, 2020 were enrolled. The optimal cut-off values, sensitivity and specificity values and odds ratios to be used in mortality prediction of the novel scoring system created from these parameters were calculated by ROC analysis according to the area under the curve and Youden index. RESULTS: Over 383 patients (n: 33 deceased, n: 350 survivors) univariate and multivariate regression analysis showed that CCI and lymphocyte ratio were prognostic factors for COVID-19-related mortality. Using this analysis, a novel scoring model CoLACD (CoVID-19 Lymphocyte ratio, Age, CCI score, Dyspnoea) was established. The cut-off value of this scoring system, which determines the mortality risk in patients, was 2.5 points with 82% sensitivity and 73% specificity (AUC = 0.802, 95% CI 0.777-0.886, P < .001). The risk of mortality was 11.8 times higher in patients with a CoLACD mortality score higher than 2.5 points than patients with a score lower than 2.5 (OR = 11.8 95% CI 4.7-29.3 P < .001). CONCLUSION: This study showed that by using the CoLACD mortality score, clinicians may achieve a prediction of mortality in COVID-19 patients hospitalised for pneumonia.

[Mortality prediction ability of phycians in intensive care units of Turkey (MOPAP)]. / Türkiye'de yogun bakim ünitelerinde hekimin mortaliteyi öngörebilme gücü.

INTRODUCTION: Intensive care physicians are increasingly involved in decision making about the prognosis of intensive care unit ICU patients. With this study; we aimed to evaluate the power of clinician foresight at prediction of mortality in patient at triage to intensive care and patient follow-up. MATERIALS AND METHODS: This study was conducted in ICUs located in various geographical regions of Turkey between January 1, 2017-April 30, 2017.The clinical research was planned as observational, multicenter, cross-sectional. RESULT: A total of 1169 intubated patients were followed in 37 different ICU. At the beginning of the follow-up we asked the physician who will follow the patient in the ICU to give a score for the probability of survival of the patients. Scoring included a total of 6 scores from 0 to 5, with the "0" the worst probability "5" being the best. According to this distribution, only 1 (0.9%) of 113 patients who were given 0 points survived. Three (6.1%) of 49 with the best score of 5 died. Survival rates were significantly different in each score group (r: -0.488; p<0.001). After the combined mortality estimation scores based on the clinical observations of the physicians (0 and 1 point score was combined as non-survive, 4 and 5 score was combined as survived) 320 of the 545 patients were estimated to be dead and 225 were predicted survival. Sensitivity and spesifity of scoring system to predict mortality was 91.56% (95% CI: 87.96-94.37), 76.89% (95% CI: 70.82-82.23) respectively. CONCLUSIONS: In this study, we concluded that the physicians who follow the patients in the ICU can predict the poor prognosis at the time of admission and the high mortality rate. The physician's opinion on mortality estimation should be considered in intensive care mortality scoring in addition to other laboratory and clinical parameters.

Pleural complications in patients with coronavirus disease 2019 (COVID-19): how to safely apply and follow-up with a chest tube during the pandemic?

OBJECTIVES: Severe acute respiratory syndrome coronavirus 2, a novel coronavirus, affects mainly the pulmonary parenchyma and produces significant morbidity and mortality. During the pandemic, several complications have been shown to be associated with coronavirus disease 2019 (COVID-19). Our goal was to present a series of patients with COVID-19 who underwent chest tube placements due to the development of pleural complications and to make suggestions for the insertion and follow-up management of the chest tube. METHODS: We retrospectively collected and analysed data on patients with laboratory-confirmed COVID-19 in our hospital between 11 March and 15 May 2020. Patients from this patient group who developed pleural complications requiring chest tube insertion were included in the study. RESULTS: A total of 542 patients who were suspected of having COVID-19 were hospitalized. The presence of severe acute respiratory syndrome coronavirus 2 was confirmed with laboratory tests in 342 patients between 11 March and 15 May 2020 in our centre. A chest tube was used in 13 (3.8%) of these patients. A high-efficiency particulate air filter mounted double-bottle technique was used to prevent viral transmission. CONCLUSIONS: In patients with COVID-19, the chest tube can be applied in cases with disease or treatment-related pleural complications. Our case series comprised a small group of patients, which is one of its limitations. Still, our main goal was to present our experience with patients with pleural complications and describe a new drainage technique to prevent viral transmission during chest tube application and follow-up.

Current Statement of Intensive Care Units in Turkey: Data obtained from 67 Centers.

OBJECTIVES: We aimed to obtain information about the characteristics of the ICUs in our country via a point prevalence study. MATERIAL AND METHODS: This cross-sectional study was planned by the Respiratory Failure and Intensive Care Assembly of Turkish Thoracic Society. A questionnaire was prepared and invitations were sent from the association's communication channels to reach the whole country. Data were collected through all participating intensivists between the October 26, 2016 at 08:00 and October 27, 2016 at 08:00. RESULTS: Data were collected from the 67 centers. Overall, 76.1% of the ICUs were managed with a closed system. In total, 35.8% (n=24) of ICUs were levels of care (LOC) 2 and 64.2% (n=43) were LOC 3. The median total numbers of ICU beds, LOC 2, and LOC 3 beds were 12 (8-23), 14 (10-25), and 12 (8-20), respectively. The median number of ventilators was 12 (7-21) and that of ventilators with non-invasive ventilation mode was 11 (6-20). The median numbers of patients per physician during day and night were 3.9 (2.3-8) and 13 (9-23), respectively. The median number of patients per nurse was 2.5 (2-3.1); 88.1% of the nurses were certified by national certification corporation. CONCLUSION: In terms of the number of staff, there is a need for specialist physicians, especially during the night and nurses in our country. It was thought that the number of ICU-certified nurses was comparatively sufficient, yet the target was supposed to be 100% for this rate.

Characteristics of influenza pneumonia patients admitted to the ICU due to hypoxemic respiratory failure.

INTRODUCTION: Hypoxemic respiratory failure due to influenza pneumonia during epidemic seasons sometimes may require mechanical ventilation support and intensive care unit (ICU) stay. We aimed to evaluate the characteristics and risk factors of influenza pneumonia patients admitted to our ICU due to hypoxemic respiratory failure. MATERIALS AND METHODS: Patients admitted to our ICU between December 2015 and March 2016 who had hypoxemic respiratory failure due to clinically and radiologically suspected influenza pneumonia were enrolled. RESULT: Twenty two patients (11 male) met the enrollment criteria. Median age and APACHE II score was 45 (36-63) years and 19 (13-25) respectively. Maximum set PEEP levels during mechanical ventilation was significantly lower in patients who survived [10 (8-10) vs 13 (10-16), p= 0.025)]. Deceased patients spent more time under a PaO2/FiO2 ratio below 100 [72 (24-90) vs. 0 (0-48) hours, p= 0.024]. Survival rate was 88% (7/8) in patients who had noninvasive ventilation (NIV) success while it was only 7% (1/14) in patients who had undergone invasive mechanical ventilation (p< 0.001). Overall mortality was 64%. CONCLUSIONS: Viral pneumonia may result in severe hypoxemic respiratory failure and ARDS especially during epidemic seasons. NIV success, time spent under a PaO2/FiO2 ratio below 100 and low serum albumin levels at admission may be predictors of severity of the disease and mortality.

Retrospective review of epidemic viral pneumonia cases in Turkey: A multicenter study.

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.