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Cough is one of the most frequent symptoms reported to pulmonologists. The role of bronchoscopy in the diagnostic work-up of chronic cough is not clearly defined. The aim of this study was to evaluate the utility of fiberoptic bronchoscopy (FOB) and additional testing of samples collected during FOB in the differential diagnosis of chronic cough in adults.
This was a single-center retrospective study. Out of 7115 conventional white light FOB examinations, we finally selected 198 with cough as the only indication.
In 40.9% of bronchoscopic examinations, no visible cause of cough was found. Visual signs of chronic bronchitis (CB) were detected in 57.6% of reports. Only in 3 cases (1.5%) bronchoscopy revealed a potential cause of chronic cough other than CB. Mycobacterium tuberculosis or other mycobacteria were spotted in none of the samples. In 91.1% of bronchoalveolar lavage (BAL) cytologic examinations, at least one cell count abnormality was detected, but only in case of increased percentage of eosinophils, it might be considered clinically relevant. In 53% of bacteriological culture results, at least one potentially pathogenic bacterium was isolated.
The present study results strengthen the evidence that FOB combined with additional testing of airway specimens obtained during FOB is not a powerful tool in the differential diagnosis of chronic cough, and FOB as a diagnostic tool may be overused. The appropriate timing and decision regarding referral for FOB and additional testing of achieved material requires careful clinical consideration.
The present study results strengthen the evidence that FOB combined with additional testing of airway specimens obtained during FOB is not a powerful tool in the differential diagnosis of chronic cough, and FOB as a diagnostic tool may be overused. The appropriate timing and decision regarding referral for FOB and additional testing of achieved material requires careful clinical consideration.
Machine learning algorithms have been used to develop prediction models in various infectious and non-infectious settings including interpretation of images in predicting the outcome of diseases. We demonstrate the application of one such simple automated machine learning algorithm to a dataset obtained about COVID-19 spread in South Korea to better understand the disease dynamics.
Data from 20th January 2020 (when the first case of COVID-19 was detected in South Korea) to 4th March 2020 was accessed from Korea's centre for disease control (KCDC). A future time-series of specified length (taken as 7 days in our study) starting from 5th March 2020 to 11th March 2020 was generated and fed to the model to generate predictions with upper and lower trend bounds of 95% confidence intervals. The model was assessed for its ability to reliably forecast using mean absolute percentage error (MAPE) as the metric.
As on 4th March 2020, 145,541 patients were tested for COVID-19 (in 45 days) in South Korea of which 5166 patients tested positive. The predicted values approximated well with the actual numbers. The difference between predicted and observed values ranged from 4.08% to 12.77% . On average, our predictions differed from actual values by 7.42% (MAPE) over the same period.
Open source and automated machine learning tools like Prophet can be applied and are effective in the context of COVID-19 for forecasting spread in naïve communities. It may help countries to efficiently allocate healthcare resources to contain this pandemic.
Open source and automated machine learning tools like Prophet can be applied and are effective in the context of COVID-19 for forecasting spread in naïve communities. It may help countries to efficiently allocate healthcare resources to contain this pandemic.ntroduction Asthma and obesity are considered inflammatory disorders. Inflammatory markers - sputum eosinophils, C-reactive protein (CRP) and the forced expiratory volume in one second (FEV1) were analysed to find their association in obese asthmatics and compared with their asthma control test (ACT) to understand these parameters in this phenotype.
After completing the asthma control test (ACT), the CRP, FEV1 and sputum eosinophils of sixty asthmatics were compared to find the association of them in obese and nonobese asthmatics and contrasted with their ACT. The data were analysed using IBM SPSS V20.0, Mann-Whitney U test (non-parametric test), Pearson's correlation coefficient and Fisher's exact test.
We found significant differences for CRP (P = 0.001) and sputum eosinophils (P = 0.001) between obese and nonobese asthmatics, both higher in obese asthmatics and with a significant association with body mass index (BMI) (P < 0.05). The FEV1 levels were independent of the BMI levels of asthmatics. Theresuring the systemic inflammatory markers could help in additional interventions in reducing systemic inflammation and thus possibly facilitating better symptom control.
The presence of Mycobacterium tuberculosis in a respiratory specimen is diagnostic in patients with pleural effusion. It is difficult to obtain sputum even after induction in these patients. An alternative method of acquiring respiratory specimens is via bronchial lavage. This study was undertaken to evaluate the diagnostic yield of acid-fast bacilli (AFB) smear, AFB culture, and Xpert assay of bronchial lavage fluid in the workup of pleural tuberculosis patients.
All patients who met the inclusion criteria of the study underwent thoracentesis, pleural biopsy, and bronchial lavage. Specimens of pleural fluid, pleural biopsy, and bronchial lavage fluid were sent for acid fast bacilli smear, culture, and Xpert assay.
Bronchial lavage AFB smear, culture, and Xpert assay was positive in 9.5%, 17.9%, and 26.2% of patients, respectively. It gave an immediate diagnosis in 22 (26.2%) patients.
Bronchial lavage, though not a surrogate to pleural biopsy, offers an additional approach to the early diagnosis of pleural tuberculosis in patients not producing sputum. Besides being diagnostic, this method also has epidemiologic significance in containing the tuberculosis epidemic because detecting Mycobacterium in bronchial lavage confirms that the patient is infectious.
Bronchial lavage, though not a surrogate to pleural biopsy, offers an additional approach to the early diagnosis of pleural tuberculosis in patients not producing sputum. Besides being diagnostic, this method also has epidemiologic significance in containing the tuberculosis epidemic because detecting Mycobacterium in bronchial lavage confirms that the patient is infectious.
Treatment failure in tuberculosis (defined as a positive sputum smear 5 months after the initiation of anti-TB treat-ment) is a major threat to the control over TB. This study aimed to investigate the association of smoking and drug abuse with treatment failure among individuals with TB.
Out of 286 TB patients with available data registered by the health system of Hamadan Provinces in western Iran, 24 TB patients with treatment failure (positive sputum smear, 5 months after initiation of anti-TB treatment) and 262 patients without treatment failure (negative sputum smear, five months after initiation of anti-TB treatment) were selected as case and control groups, respectively. These two groups were compared to each other in terms of demographic status which include age, sex, job, residence, and risk factors such as smoking and drug abuse status. An odds ratio (OR) with a 95% confidence interval was used as a measure of association. The Bonferroni correction was used to counteract multiple comparisons, therefore, a p-value of less than 0.004 was statistically significant.
No significant association was found between treatment failure and age, residence, comorbidity, education level, job status, sex, smoking, and method of drug abuse (P > 0.004). However, a significant association was found between duration of smoking, number of cigarettes per day, and drug abuse with treatment failure in univariate analysis (P < 0.004). In multivariate analysis, only an association with drug abuse was significantly associated with treatment failure (P = 0.047).
Drug abuse substantially increases the risk of treatment failure. Therefore, in order to control TB, it is suggested that preventive programs are designed in order to decrease drug abuse among TB patients before starting treatment.
Drug abuse substantially increases the risk of treatment failure. alpha-Naphthoflavone Therefore, in order to control TB, it is suggested that preventive programs are designed in order to decrease drug abuse among TB patients before starting treatment.
Although depression and anxiety have been widely investigated among patients with chronic obstructive pulmonary disease (COPD), experiencing stressful life events and its effect on increasing risk of exacerbations was rarely assessed. This study aimed to clarify the association between facing with stressful events among COPD patients and their disease severity leading to hospitalization.
A prospective study was conducted among 128 COPD patients from the population of Qazvin, a north-west, industrialized city of Iran from December 2017 to December 2018. Patients were followed up for one-year and their related measures were gathered. To compare variables among patients stratified by reporting stressful life conditions, Pearson's chi-square and Fisher's exact tests were used. Furthermore, to assess the effect of several covariates on the response variable, a logistic regression modelling was applied. Results were reported in form of odds ratios and their 95% confidence intervals.
Study findings affirmed thd subsequent anxieties.
The Gender-Age-Physiology (GAP) system is a tool for predicting prognosis in patients with idiopathic pulmonary fibrosis (IPF). Yet, to date, the GAP system has not been evaluated in patients with IPF who received nintedanib.
This single-center retrospective study included 89 patients with IPF who received Nintedanib for at least 3 months. All-cause mortality was set as the end point. Clinical parameters, including the GAP stage, were statistically analyzed for risk factors leading to mortality using the Cox proportional hazard model.
The median follow-up was 16.4 months (range 3.7-37.4 months), during which 23 patients died. Univariate analysis revealed that the GAP stage (hazard ratio [HR] 3.00, 95% confidence interval [CI] 1.52-5.92, p = 0.0014) and PaO2 (HR 0.95, 95% CI 0.92-0.98, p = 0.0063) were significant prognostic factors. Multivariate analysis revealed that the GAP stage was a significant prognostic factor (HR 2.26, 95% CI 1.07-4.78, p = 0.031). Log-rank analysis revealed that there were no significant differences in "Gender" (p = 0.47) and "Age" (p = 0.18) factors. However, there were significant differences in "Physiology" factors (% of forced vital capacity, p = 0.018; % of diffusing capacity of lung carbon monoxide, p < 0.001). The cumulative incidences of mortality at 1 and 2 years were as follows GAP I 5.1% and 6.8%; GAP II 9.5% and 29.3%; and GAP III 18.9% and 84.2%.
The GAP system is useful as a prognostic tool in patients with IPF who have been treated with nintedanib.
The GAP system is useful as a prognostic tool in patients with IPF who have been treated with nintedanib.
