Obstructive lung diseases burden and COVID-19 in developing countries: a perspective

Association between threat-related adverse childhood experiences and chronic lung diseases in a middle and older aged population: A cross-sectional and longitudinal study in China

OBJECTIVES

We investigated the association between threat-related adverse childhood experiences (ACEs) and the risk of chronic lung diseases (CLDs).

METHODS

The data used for this study were extracted from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey of respondents recruited from 450 villages/urban communities in 28 provinces. Threat-related ACEs were constructed using five adverse factors: household substance abuse, physical abuse, domestic violence, unsafe neighbourhood, and bullying). Participants were divided into three groups according to their number of threat-related ACEs at baseline and at follow-up. The association between threat-related ACEs and CLD prevalence in the cross-sectional study was calculated using logistic regression models. The association between threat-related ACEs and CLD onset was evaluated using Cox proportional regression models in the cohort study. Potential confounders were considered in both the cross-sectional and cohort studies.

RESULTS

The CLD prevalence in the total population, no exposure group, exposure to one threat-related ACE, and exposure to at least two threat-related ACEs were 10.07% (1320/13104), 9.20% (665/7232), 10.89% (421/3865), and 11.66% (234/2007), respectively. Exposure to one threat-related ACE (OR: 1.23, 95% CI: 1.07-1.41) and exposure to at least two threat-related ACEs (OR: 1.31, 95% CI: 1.11-1.55) were significantly associated with higher CLD prevalence rates. The cohort study included 11,645 participants. During the 7-year follow-up, 738 CLD incidents were identified. Similarly, exposure to one threat-related ACE (HR: 1.20, 95% CI: 1.01-1.43) and at least two threat-related ACEs (HR: 1.64, 95% CI: 1.35-2.00) were significantly associated with a higher CLD incidence risk.

CONCLUSIONS

Exposure to threat-related ACEs was significantly associated with a higher CLD prevalence risk and onset. It is crucial to identify individuals who have encountered childhood threats and prioritise the monitoring of their pulmonary function.

Chronic Obstructive Pulmonary Disease among Patients Admitted to the Department of Medicine in a Tertiary Care Centre

Introduction

Chronic obstructive pulmonary disease is a prevalent respiratory condition with permanent and progressively decreasing airflow limitation. Chronic obstructive pulmonary disease causes more than 3 million deaths per year globally, making it the third leading cause of death globally. The aim of this study was to find out the prevalence of chronic obstructive pulmonary disease among patients admitted to the Department of Medicine in a tertiary care centre.

Methods

A descriptive cross-sectional study was done in the Department of Medicine of a tertiary care centre. Data from 1 January 2022 to 30 December 2022 were collected between 15 June 2023 to 30 June 2023 from the hospital records and reviewed. Ethical approval was taken from the Institutional Review Committee. All the patients admitted to the Department of Medicine during the study period were included in the study. The patients with incomplete medical records were excluded from the study. Convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval.

Results

Among 280 patients, chronic obstructive pulmonary disease was found in 68 (24.29%) (19.27-29.31, 95% Confidence Interval) with a mean age of 70.62±10.39 years and a mean pack year of 16.72±7.67.

Conclusions

The prevalence of chronic obstructive pulmonary disease among patients admitted to the Department of Medicine was similar to the other studies done in similar settings.

Keywords

COPD; inpatients; prevalence; tertiary hospital.

Advanced pathophysiology mimicking lung models for accelerated drug discovery

BACKGROUND

Respiratory diseases are the 2nd leading cause of death globally. The current treatments for chronic lung diseases are only supportive. Very few new classes of therapeutics have been introduced for lung diseases in the last 40 years, due to the lack of reliable lung models that enable rapid, cost-effective, and high-throughput testing. To accelerate the development of new therapeutics for lung diseases, we established two classes of lung-mimicking models: (i) healthy, and (ii) diseased lungs - COPD.

METHODS

To establish models that mimic the lung complexity to different extents, we used five design components: (i) cell type, (ii) membrane structure/constitution, (iii) environmental conditions, (iv) cellular arrangement, (v) substrate, matrix structure and composition. To determine whether the lung models are reproducible and reliable, we developed a quality control (QC) strategy, which integrated the real-time and end-point quantitative and qualitative measurements of cellular barrier function, permeability, tight junctions, tissue structure, tissue composition, and cytokine secretion.

RESULTS

The healthy model is characterised by (i) continuous tight junctions, (ii) physiological cellular barrier function, (iii) a full thickness epithelium composed of multiple cell layers, and (iv) the presence of ciliated cells and goblet cells. Meanwhile, the disease model emulates human COPD disease: (i) dysfunctional cellular barrier function, (ii) depletion of ciliated cells, and (ii) overproduction of goblet cells. The models developed here have multiple competitive advantages when compared with existing in vitro lung models: (i) the macroscale enables multimodal and correlative characterisation of the same model system, (ii) the use of cells derived from patients that enables the creation of individual models for each patient for personalised medicine, (iii) the use of an extracellular matrix proteins interface, which promotes physiological cell adhesion and differentiation, (iv) media microcirculation that mimics the dynamic conditions in human lungs.

CONCLUSION

Our model can be utilised to test safety, efficacy, and superiority of new therapeutics as well as to test toxicity and injury induced by inhaled pollution or pathogens. It is envisaged that these models can also be used to test the protective function of new therapeutics for high-risk patients or workers exposed to occupational hazards.

Monthly and seasonal prevalence of asthma and chronic obstructive pulmonary disease in the District Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan

Background

Asthma and chronic obstructive pulmonary disease are the major airway diseases and are increasingly important causes of mortality, morbidity, and disability globally. This cross-sectional study was conducted to determine monthly and seasonal patterns of asthma and chronic obstructive pulmonary disease in the study area during 2020–2021. The data of the indoor patients for the study period were obtained from the official records maintained in the District Head Quarter teaching hospital Dera Ismail Khan.

Results

A total of 2179 cases of asthma were recorded including 1609 (73.8%) in 2020 and 570 (26.2%) in 2021, and 740 cases of the chronic obstructive pulmonary disease were also recorded in 2020. Overall asthma was highest in March with 1128 (51.8%) cases and was lowest in July with 29 (1.3%) cases. Seasonal prevalence/pattern show that asthma relatively more prevailed during winter and early spring (December through March). Out of a total of 740 cases of chronic obstructive pulmonary disease, the highest 405 (54.7%) cases were recorded in February and the lowest 0 in April. Seasonal distribution indicated that chronic obstructive pulmonary disease was relatively higher in winter (January–February).

Conclusions

Seasonal variation and pattern in prevalence exist both in asthma and chronic obstructive pulmonary disease as both indicated relatively higher prevalence in winter compared to summer and autumn.