Risk of atrial fibrillation in patients with pneumoconiosis: A nationwide study in Taiwan

Risk of depression in patients with pneumoconiosis: A population-based retrospective cohort study

BACKGROUND

Pneumoconiosis is an important occupational disease; the association between pneumoconiosis and depression was largely unknown. This study aimed to investigate the relationship between pneumoconiosis and the risk of subsequent depression.

METHODS

A retrospective cohort study was conducted using Taiwan's National Health Insurance database. The study included 16,795 patients diagnosed with pneumoconiosis between 2008 and 2018 and a comparison cohort of 67,180 individuals without pneumoconiosis, propensity score matched in a 1:4 ratio based on age, sex, monthly income, residential urbanization level, and date of pneumoconiosis diagnosis. The development of depression was monitored until the end of 2019.

RESULTS

The incidence of depression was 1.68 times higher in the pneumoconiosis cohort than that in the comparison cohort, with an incidence rate of 10.07 versus 5.99 per 1000 person-years (adjusted hazard ratio [aHR] = 1.84, 95 % confidence interval [CI] = 1.70-1.99). The risk of depression increased with an increased mean annual number of emergency department visits for pneumoconiosis, with aHRs of 1.34 (95 % CI = 1.13-1.59) and 2.31 (95 % CI = 1.94-2.76) for 1 ≤ n < 2, and n ≥ 2 compared to n < 1, respectively.

LIMITATION

The database lacked detailed socioeconomic history, family history, and clinical variables.

CONCLUSION

This study found that patients with pneumoconiosis have a significantly higher risk of depression than those without pneumoconiosis. Furthermore, the risk of depression increases with the frequency of emergency department visits for pneumoconiosis. Healthcare professionals should pay close attention to the mental health of patients with pneumoconiosis.

Risk of sleep disorders in patients with pneumoconiosis: a retrospective cohort study

BACKGROUND

Pneumoconiosis is associated with pulmonary and cardiovascular diseases; however, the link between pneumoconiosis and sleep disorders is not well understood. This study aimed to investigate the connection between pneumoconiosis and subsequent risk of sleep disorders.

METHODS

This population-based retrospective cohort study used data from the National Health Insurance database in Taiwan. The pneumoconiosis cohort consisted of 13,329 patients newly diagnosed between 2000 and 2015. The comparison group included 53,316 age-, sex-, and diagnosis date-matched individuals without pneumoconiosis. The development of sleep disorders was monitored until the end of 2018. Cox proportional hazard regression models were used for risk assessment.

RESULTS

The incidence of sleep disorders was 1.31 times higher in the pneumoconiosis cohort than in the comparison cohort (22.8 vs. 16.2 per 1000 person-years). After controlling for age, sex, comorbidity, and medication, the adjusted hazard ratio (aHR) was 1.24 (95% confidence interval [CI] = 1.17-1.32). Stratified analyses by age group, sex, and comorbidity status showed significant associations between pneumoconiosis and sleep disorders (aHRs, 1.19-1.64). In addition, patients with pneumoconiosis had a significantly increased risk of developing sleep apnea (aHR = 1.71, 95% CI = 1.31-2.22).

CONCLUSION

This study demonstrates that patients with pneumoconiosis are at a higher risk of developing sleep disorders and sleep apnea. Healthcare professionals should pay close attention to sleep quality and disturbances in patients with pneumoconiosis.

Risk of Acute Myocardial Infarction in Pneumoconiosis: Results from a Retrospective Cohort Study

Background: Pneumoconiosis (PCN) has several comorbidities, most notably pulmonary and cardiovascular diseases. However, much is still unknown about the relationship between PCN and acute myocardial infarction (AMI). The present study aimed to clarify the association between PCN and subsequent AMI risk using a retrospective cohort study design. Methods: This was a population-based, retrospective cohort study that used data from Taiwan’s National Health Insurance Database. A total of 7556 newly diagnosed patients with PCN and 7556 individuals without PCN were included in the PCN and comparison cohort (PC and CC), respectively, between 2008 and 2018, with propensity score matching for age, gender, comorbidity, medication, and date of PCN diagnosis. The occurrence of AMI was monitored until the end of 2019, and AMI risk was assessed using Cox proportional hazard regression models. Results: The overall incidence of AMI was 1.34-fold higher in the PC than in the CC (4.33 vs. 3.23 per 1000 person-years, respectively, p < 0.05), with an adjusted hazard ratio (aHR) of 1.36 (95% confidence interval (CI): 1.08–1.72) after controlling for age, gender, comorbidity, and medication. Further analyses showed a higher risk of AMI with increased annual number of emergency department visits among patients with PCN (aHR: 1.30, 95% CI: 1.01–1.66 (<1) and aHR: 1.68, 95% CI: 1.13–2.50 (≥1)). Conclusion: Patients with PCN had a significantly higher risk of developing AMI than those without PCN. Clinicians should pay more attention to prevent AMI episodes in patients with PCN.

Risk of Chronic Kidney Disease in Pneumoconiosis: Results from a Retrospective Cohort Study (2008-2019)

Background: Pneumoconiosis has considerable comorbidities, most notably pulmonary and cardiovascular diseases. However, the relationship between pneumoconiosis and chronic kidney disease (CKD) is largely unknown. The present study aimed to use a retrospective cohort study design to further clarify the association between pneumoconiosis and subsequent CKD risk. Methods: This is a nationwide, population-based, retrospective cohort study that used data from Taiwan’s National Health Insurance Database. Between 2008 and 2018, 17,952 newly diagnosed patients were included in the pneumoconiosis cohort, while 71,808 individuals without pneumoconiosis were included in the comparison cohort, with a propensity score matching for age, gender, and date of pneumoconiosis diagnosis. The development of CKD was monitored until the end of 2019. The risk was assessed using Cox proportional hazard regression models. Results: After controlling for age, gender, and comorbidity, the overall incidence of CKD was 1.69-fold higher in the pneumoconiosis cohort than in the comparison cohort (19.71 vs. 11.76 per 1000 person-years, respectively, p < 0.001), with an adjusted hazard ratio of 1.83 (95% confidence interval: 1.73−1.93). Stratified analyses by age group, gender, and presence of comorbidity revealed that the adjusted hazard ratios of CKD associated with pneumoconiosis remained significant (8/9). Furthermore, pneumoconiosis and tri-high (hypertension, hyperglycemia, and hyperlipidemia) interact positively with CKD development (p < 0.001). Conclusion: Patients with pneumoconiosis had a significantly higher risk of developing CKD than those without. Pneumoconiosis combined with hypertension, hyperglycemia, or hyperlipidemia would increase the risk even further. More studies are required to understand the possible pathophysiological mechanisms.

Differentiation and prediction of pneumoconiosis stage by computed tomography texture analysis based on U-Net neural network

BACKGROUND AND OBJECTIVE

The progressive worsening of pneumoconiosis will ensue a hazardous physical condition in patients. This study details the differential diagnosis of the pneumoconiosis stage, by employing computed tomography (CT) texture analysis, based on U-Net neural network.

METHODS

The pneumoconiosis location from 92 patients at various stages was extracted by U-Net neural network. Mazda software was employed to analyze the texture features. Three dimensionality reduction methods set the best texture parameters. We applied four methods of the B11 module to analyze the selected texture parameters and calculate the misclassified rate (MCR). Finally, the receiver operating characteristic curve (ROC) of the texture parameters was analyzed, and the texture parameters with diagnostic efficiency were evaluated by calculating the area under curve (AUC).

RESULTS

The original film was processed by Gaussian and Laplace filters for a better display of the segmented area of pneumoconiosis in all stages. The MCR value obtained by the NDA analysis method under the MI dimension reduction method was the lowest, at 10.87%. In the filtered texture feature parameters, the best AUC was 0.821.

CONCLUSIONS

CT texture analysis based on the U-Net neural network can be used to identify the staging of pneumoconiosis.

Risk of atrial fibrillation in patients with pneumoconiosis: A nationwide study in Taiwan

Background

To investigate the incidence of new‐onset atrial fibrillation (AF) among subjects with pneumoconiosis using the Taiwan National Health Insurance Research Database.

Hypothesis

Pneumoconiosis patients are at an increased risk of AF.

Methods

A total of 12 209 pneumoconiosis patients were in the exposure cohort. Patients without pneumoconiosis were included as the comparison cohort. Both cohorts were matched by gender, age, comorbidity, and index year in a 1:1 manner. Multivariable cox proportional hazard model was used to calculate the adjusted hazard ratios (HRs) after adjustment for age, sex, and all comorbidities.

Results

The risk of AF in pneumoconiosis patients was 1.30‐fold higher than that of controls (95% CI = 1.17‐1.44) was the key finding.

Conclusions

Pneumoconiosis is associated with increased risk of incident AF.