Predictors of the severity of the course of COVID-19: demographic factors, clinical signs and laboratory markers.

Introduction. The Coronavirus Disease 2019 (COVID-19) pandemic has had a significant impact on global healthcare, with high mortality and severe complications remaining a major concern. Understanding the predictors of COVID-19 severity may improve patient management and outcomes. While considerable research has focused on the pathogenesis of the virus and vaccine development, the identification of reliable demographic, clinical and laboratory predictors of severe disease remains critical.Hypothesis. Specific demographic factors, clinical signs and laboratory markers can reliably predict the severity of COVID-19. A comprehensive analysis integrating these predictors could provide a more accurate prognosis and guide timely interventions.Aim. The aim of this study is to identify and evaluate the demographic, clinical and laboratory factors that can serve as reliable predictors of severe COVID-19, thereby aiding in the prediction and prevention of adverse outcomes.Methodology. The methods of analysis, synthesis, generalization and descriptive statistics were used to achieve this objective.Results. The analysis showed that demographic factors such as age over 60 and male sex are significant predictors of severe COVID-19. Clinical predictors include respiratory symptoms, especially dyspnoea, and comorbidities such as hypertension, coronary artery disease, chronic obstructive pulmonary disease, respiratory failure, asthma, diabetes mellitus and obesity. Laboratory markers with high prognostic value include elevated levels of C-reactive protein, interleukin-6, ferritin, neutrophil/lymphocyte ratio, d-dimer, aspartate aminotransferase enzyme and decreased lymphocyte count.Conclusion. The study concludes that a holistic approach incorporating demographic, clinical and laboratory data is essential to accurately predict the severity of COVID-19. This integrated model may significantly improve patient prognosis by facilitating early identification of high-risk individuals and allowing timely, targeted interventions. The results highlight the importance of comprehensive patient assessment in managing and mitigating the impact of COVID-19.

Prevalence and Associated Factors of Chronic Respiratory Symptoms among Street Sweepers in Bangkok, Thailand: A Cross-sectional Study.

Background: Chronic respiratory diseases are becoming a more prominent cause of morbidity and mortality worldwide. Street sweepers are commonly found in low- and middle-income countries. This job involves outdoor work that exposes workers to various health hazards and air pollution, particularly affecting respiratory health. There is still limited research focusing specifically on street sweepers. The study aims to examine the prevalence of chronic respiratory symptoms and the associated factors in street sweepers in Bangkok, Thailand. Materials and Methods: We undertook a cross-sectional survey between February and April 2023. A multi-stage sampling technique was employed, stratifying the sample according to district locations within Bangkok, Thailand. Data were collected through a questionnaire assessing demographic characteristics, occupational and environmental factors, and respiratory symptoms using a modified version of the Medical Research Council questionnaire. Data analysis included bivariate analysis and multiple logistic regression. Results: The response rate was 98.0% (n = 341). The prevalence of chronic respiratory symptoms among street sweepers in Bangkok, Thailand, with at least one respiratory symptom was reported by 33.7% of the participants, specifically cough (22%), phlegm (20.2%), dyspnea (17.6%), and wheeze (7.0%). The average age of the sample group was 43.2 years, with a majority being female (85.9%). Among the participants, 88.3% were non-smokers, while 37.2% reported exposure to secondhand smoke. All participants reported the use of respiratory protective equipment, with face masks used at 78.9%. 7.3% of the participants lived near sources of pollution, and 12.0% were involved in household pollution activities. An average annual air quality index in the workplace area was categorized as 'good' at 57.8%. Multiple logistic regression analysis revealed significant associations of chronic respiratory symptoms with the following factors: exposure to secondhand smoke [odds ratio (OR) =2.3, 95% confidence interval (CI) 1.3-4.2] and household activities (OR = 3.0, 95% CI 1.3-6.6). Conclusion: Exposure to secondhand smoke and indoor air pollutants in household environments are significant factors associated with the symptoms. Raising awareness about secondhand smoke hazards in household and environmental settings and promoting self-care practices related to various activities with potential exposure to indoor air pollution is crucial.

Respiratory Symptoms and Paper Dust Exposure among Workers in the Paper Industry in Ethiopia: A Comparative Cross-Sectional Study.

Chronic respiratory symptoms are a health concern in the paper industry. This study evaluates the association between personal inhalable paper dust exposure and chronic respiratory symptoms among workers in this industry. In total, 270 workers from the paper industry and 267 from a water bottling factory participated. Chronic respiratory symptoms were assessed using a standardized questionnaire, modified from the American Thoracic Society. A job exposure matrix, based on cross-sectional personal measurements of inhalable paper dust, was used to estimate the exposure-response relationship between cumulative dust exposure and chronic respiratory symptoms. There was a higher prevalence of chronic coughs (27.4% vs. 7.5%), breathlessness (25.6% vs. 11%), coughs with sputum (21.1% vs. 1.1%), and wheezing (25.6% vs. 5%) among paper workers compared to those in the water bottling industry. A Poisson regression analysis revealed that the prevalence ratios for chronic coughs (APR = 3.3 and 95% CI: 2.0-5.4), breathlessness (APR = 2.2 and 95% CI: 1.4-3.4), and wheezing (APR = 4.3 and 95% CI: 2.3-7.7) were significantly higher in paper workers than in water bottling workers. Among paper workers, a significant exposure-response relationship was observed between cumulative dust exposure and chronic coughs after adjusting for age, sex, history of respiratory illnesses, work in other dusty industries, and use of biofuels. As there were only four ever-smokers, smoking was not included in the regression analysis. The results show a significant association between dust exposure and coughing, highlighting the need for control measures to prevent the development of respiratory symptoms among workers.

A field investigation of 3 masks proposed as respiratory protection for wildland firefighters: a randomized controlled trial in British Columbia, Canada.

INTRODUCTION: Wildland firefighters are exposed through the lungs and skin to particulate matter, fumes, and vapors containing polycyclic aromatic hydrocarbons (PAH). Wearing respiratory protection should reduce pulmonary exposure, but there is uncertainty about the most effective and acceptable type of mask. METHODS: Firefighters from 6 unit crews working with the British Columbia Wildfire Service were approached and those consenting were randomly allocated within each crew to a "no mask" control group or to use 1 of 3 types of masks: X, half-face respirator with P100/multi gas cartridge; Y, cloth with alpaca filter; Z mesh fabric with a carbon filter. Crews were followed for 3 consecutive firefighting days. The mask allocated was constant for each firefighter throughout. All participants completed a brief questionnaire at the start and end of each day, giving information on mask use, respiratory symptoms, and assessment of mask qualities. Spot urine samples were collected pre and post shift to assess 1-hydroxypyrene (1-HP) concentration as an indicator of total PAH absorption. Skin wipe samples from the hands and throat were collected pre and post shift and analyzed for PAH concentration. On each day monitored, 4 participants carried sampling pumps to measure total particulates and PAHs on particles and in vapor phase. The primary outcome was the concentration of urinary 1-HP at the end of the fire day. Secondary outcomes were changes in respiratory and eye symptoms during the course of the shift, reported mask use, and perception of mask qualities. The analysis used a 3-level random intercept regression model that clustered observations within individuals and crews. We aimed to detect any relation of allocated mask type to the 4 outcomes, having allowed for estimated exposure. RESULTS: Information was collected from 89 firefighters, including 14 women: 49% (37/75) of male firefighters were bearded. Nineteen fire days were monitored for a total of 263 firefighter × days, 64 to 68 for each intervention group. The end of shift 1-HP was higher than the start of the shift. Urinary 1-HP was more strongly related to PAHs on the skin than in the breathing zone. Men with beards had higher end-of-shift urinary log 1-HP/creat (ng/g) than other firefighters. None of the groups allocated a mask had lower 1-HP than the no-mask group, either in the study group overall or when stratified by beard-wearing. Among those without either beards or a failed fit-test, Mask Z reduced at the end of shift 1-HP where airborne PAH concentration was high. End-of-shift symptoms were related to particle mass in the breathing zone but was not mitigated by any of the masks. Hours electing not to wear a mask increased from the first to third shift for all mask types. Mask Z was rated as more comfortable than other types. Mask X was rated highest on fit and perceived protection. Mask Y gained the lowest ratings on fit, comfort and feelings of protection. CONCLUSIONS: Allocated masks did not provide protection overall, but the results highlighted the need for a wider understanding of the circumstances in which wearing efficient protection is well-advised.

Association between lung function and sleep disorder symptoms in a community-based multi-site case-finding study.

Obstructive airway disease is associated with sleep disturbances. We aimed to assess the relationship between lung function and sleep disorder symptoms using cross-sectionally collected data between March 2017 and August 2021 from the Undiagnosed Chronic Obstructive Pulmonary Disease and Asthma Population study, a prospective community-based multi-site case-finding study. Undiagnosed Chronic Obstructive Pulmonary Disease and Asthma Population study participants with respiratory symptoms but without diagnosed lung disease who completed spirometry and the Global Sleep Assessment Questionnaire were included. We conducted multivariate linear regression models for forced expiratory volume in 1 s, forced vital capacity and forced expiratory volume in 1 s/forced vital capacity by Global Sleep Assessment Questionnaire responses adjusted for confounders. The same models were employed to examine respiratory symptoms, as reported on the St George's Respiratory Questionnaire and Chronic Obstructive Pulmonary Disease Assessment Test, by Global Sleep Assessment Questionnaire responses. Logistic regression models were used to assess the association of undiagnosed obstructive airway disease with sleep symptoms. Amongst 2093 adults included in the study, 48.3% were female and the median age was 63 years (interquartile range 53-72). Two-hundred and five (9.79%) subjects met spirometry criteria for undiagnosed chronic obstructive pulmonary disease, and 191 (9.13%) for undiagnosed asthma. There were no significant associations between spirometry measures and sleep symptoms (p > 0.5), controlling for age, sex, body mass index, smoking and comorbidities. Those with undiagnosed asthma were more likely to report insomnia "at least sometimes" versus "never" (odds ratio 2.58, 95% confidence interval: 1.27-6.19, p = 0.02). Respiratory symptoms were associated with sleep symptoms, with significant (p < 0.05) increases in St George's Respiratory Questionnaire and Chronic Obstructive Pulmonary Disease Assessment Test scores in those reporting most sleep symptoms. Overall, we found an association between undiagnosed asthma and insomnia, and between respiratory and sleep disorder symptoms.

A detailed methodology for estimating health-related hazards of workplace exposure to indoor formaldehyde vapours.

A comprehensive risk assessment method was applied to examine the risks associated with airborne formaldehyde occupational exposure among hospital laboratory staff. The method assessed exposure levels and health impacts by integrating area and personal air sampling, biological monitoring, and self-reported health data. Samples were collected from 74 workplaces across various departments using NIOSH method 3500 and were analyzed via UV-vis spectrophotometry. The data showed significant differences in exposure levels between departments (p≤0.05) and confirmed the efficacy of the method in identifying risk differences. Despite average personal exposure levels being measured lower than occupational limits, individual assessments indicated that some participants surpassed these limits, emphasizing the necessity of personal monitoring for workers with higher risks. The high prevalence of respiratory symptoms, such as cough and wheezing among staff, indicated the need for further investigation and targeted interventions. Although estimated cancer and non-cancer risks were within safe thresholds, the study emphasized the importance of continuous exposure monitoring and the implementation of effective control measures in hospital laboratory departments with formaldehyde emission. This integrated method improved the reliability and generalizability of formaldehyde exposure risk assessments and aided in the development of safe occupational health practices.•The method integrated personal and area sampling with advanced calibration for precise occupational exposure evaluation in laboratories.•The method used of biomarkers to assess formaldehyde absorption in the body estimating both cancerous and non-cancerous health risks associated with occupational exposure.•Addressed traditional method limitations and integrated risk components to improve data reliability for workplace safety and health risk management.

A cross-sectional study on domestic use of biomass fuel and the prevalence of respiratory illnesses in a rural community in Thaba-Tseka district of Lesotho.

The domestic utilization of biomass fuel for purposes such as cooking, space heating, and water heating has been linked to a number of respiratory ailments, particularly when burned inefficiently. However, there is an existing knowledge gap on the impact of this practice on the health of Basotho. This study aims to explore the impact of biomass fuels use on the prevalence of respiratory illnesses among residents of two rural communities in Thaba-Tseka. A quantitative, cross-sectional design was adopted, using a structured questionnaire, to assess the correlation between biomass fuel use and the prevalence of respiratory symptoms and diseases. Data were collected from 326 randomly selected individuals aged 18 and above. The major source of fuel energy used was firewood (39.6 %), followed by paraffin (29.1 %) and animal dung (15.6 %). The most prevalent respiratory symptom reported was cough, among 27.6 % of participants (n = 326), followed by sneezing (n = 326, 23.0 %), and fever (n = 326, 17.5 %). The lowest prevalent respiratory disease was pneumonia (0.9 %) while lung cancer was not reported. The reporting of respiratory symptoms and diseases was most prevalent in January. A greater prevalence of cough was reported by participants with a higher level of education (r (5) = 1.746, p = 0.008). More male participants reported to have tuberculosis (7.8 %) compared to females (3 %) (r (1) = 3.809, p = 0.051). Asthma was noted to be more prevalent among high income earners (r (3) = 8.169, p = 0.043) and those reported to have an employment (r (1) = 4.277, p = 0.039). Surprisingly, there was no association between respiratory diseases and symptoms, and the type of domestic fuel used. In the rural communities of Thaba-Tseka, about 4 in 10 Basotho rural communities, relied on firewood for cooking, space heating and water heating. Respiratory symptoms and diseases were observed mostly in the month of January. Several factors, including education level, marital status, gender, and income level, were significantly associated with specific respiratory symptoms and diseases. Targeted public health interventions are urgently needed to mitigate respiratory symptoms and diseases in the rural communities of Lesotho. More focus should be directed to health behavioral change and provision of improved stoves for exposure reduction of biomass emissions.

Risk Factors, Morbidity, and Mortality in Association With Preserved Ratio Impaired Spirometry and Restrictive Spirometric Pattern: Clinical Relevance of Preserved Ratio Impaired Spirometry and Restrictive Spirometric Pattern.

BACKGROUND: Preserved ratio impaired spirometry (PRISm) and restrictive spirometric pattern (RSP) are often considered interchangeable in identifying restrictive impairment in spirometry. RESEARCH QUESTION: Do PRISm and RSP have different individual associations with risk factors, morbidity, and mortality? STUDY DESIGN AND METHODS: In a cross-sectional and longitudinal study, including 26,091 Norwegian general population men (30 to 46 years of age), we explored the association of PRISm and RSP with smoking habits, BMI, education, respiratory symptoms, self-reported cardiopulmonary disease, and mortality after 26 years of follow-up. PRISm was defined as FEV1/FVC ≥ lower limit of normal (LLN) and FEV1 < LLN, and RSP was defined as FEV1/FVC ≥ LLN and FVC < LLN. We compared the associations of PRISm and RSP to airflow obstruction and normal spirometry, both as mutually (PRISm alone, RSP alone) and nonmutually exclusive (PRISm, RSP) categories, adjusting for age, BMI, smoking, and education. We also conducted sensitivity analyses using Global Initiative for Chronic Obstructive Lung Disease criteria to define spirometric abnormalities. RESULTS: The prevalence of the mutually exclusive spirometric patterns was as follows: normal 82.4%, obstruction 11.0%, PRISm alone 1.4%, RSP alone 1.7%, and PRISm + RSP 3.5%. PRISm alone patients were frequently obese (11.2%), had active or previous tobacco use, commonly reporting cough, phlegm, wheeze, asthma, and bronchitis. RSP alone patients were both obese (14.6%) and underweight (2.9%), with increased breathlessness, but similar smoking habits to patients with normal spirometry. The prevalence of heart disease was 4.6% in PRISm alone, 2.7% in RSP alone, and 1.6% in obstruction. With normal spirometry as a reference, RSP alone had increased all-cause (hazard ratio [HR], 1.57; 95% CI, 1.21-2.04), cardiovascular (HR, 1.48; 95% CI, 0.88-2.48), diabetes (HR, 6.43; 95% CI, 1.88-21.97), and cancer (excluding lung) mortality (HR, 1.51; 95% CI, 0.95-2.42). PRISm alone had increased respiratory disease mortality (HR, 4.00; 95% CI, 1.22-13.16). Patients with PRISm + RSP had intermediate characteristics and the worst prognosis. Findings were overall confirmed with nonmutually exclusive categories and Global Initiative for Chronic Obstructive Lung Disease criteria. INTERPRETATION: PRISm and RSP are spirometric patterns with distinct risk factors, morbidity, and mortality, which should be differentiated in future studies.

Assessing lifetime occupational chrysotile inhalation exposure, respiratory symptoms, and lung cancer risk among brake maintenance workers in Malaysia.

This study aimed to estimate workers' occupational lifetime exposure to chrysotile and examine the respiratory symptoms and lung cancer risk. A total of 112 workers were interviewed about their occupational histories. Exposure modeling using information on the determinants of exposure was used to estimate chrysotile emissions. The cumulative lifetime exposure was then assessed for each worker. Respiratory symptoms were obtained using a validated questionnaire. Lung cancer mortality rate was also predicted using a model. Almost all the workers were male and young (mean age = 30 years, SD = 7). The estimated lifetime occupational chrysotile inhalation exposure ranged from 0.0001 to 0.0486 f/mL.years (median = 0.0018 f/mL.years, IQR = 0.486). A high prevalence of cough symptom (11.7%), and low estimated cancer risk (<1%) were reported. In conclusion, the lung cancer risk among our cohort of workers was at a low level because of lower cumulative lifetime occupational chrysotile exposure.

Infected Emphysematous Bullae of the Lung: A Diagnostic Challenge.

Infected emphysematous bullae of the lung present a diagnostic challenge due to their rarity and diverse clinical manifestations. We report the case of a 52-year-old female with chronic respiratory symptoms, including breathlessness and dry cough, persisting for six months. Imaging studies revealed characteristic features of infected emphysematous bullae, including large thick-walled cavities with air-fluid levels and associated parenchymal compression. Biomass exposure history and microbiological analysis, which isolated methicillin-resistant coagulase-negative Staphylococcus (MRCoNS), further supported the diagnosis. The patient responded well to antimicrobial therapy with doxycycline and linezolid. This case underscores the importance of considering environmental factors and multidisciplinary collaboration in managing complex respiratory conditions. Further research is warranted to elucidate optimal management strategies for infected emphysematous bullae of the lung.

Patient-reported respiratory symptoms and relevant factors in patients with pulmonary nodules.

Background: Pulmonary nodules (PNs) are commonly considered too small to cause respiratory symptoms. However, many PN patients present with respiratory symptoms of unknown origin. This study aims to explore these symptoms and identify the associated factors. Methods: Demographic and clinical information were retrospectively collected from 1,633 patients with incidental PNs who visited the thoracic outpatient clinic of Guangdong Provincial People's Hospital. Hospital Anxiety and Depression Scale was used to assess their anxiety and depression level. Logistic regression analyzes were employed to assess the independent risk factors for respiratory symptoms and the psychological impact on patients. Results: Among the 1,633 patients, 37.2% reported at least one respiratory symptom. The most common symptoms in patients with PNs were cough (23.6%), followed by chest pain (14.0%), expectoration (13.8%) and hemoptysis (1.3%). Patients with large PNs (>20 mm) showed significantly higher odds of having cough [odds ratio (OR) =2.5; P=0.011] and expectoration (OR =3.6; P=0.001). Patients with multiple PNs were more susceptible to chest pain compared to those with solitary PNs (OR =1.5; P=0.007). Environmental factors such as passive smoking, kitchen fume pollution, environmental dust were the consistent risk contributors to the presence of these respiratory symptoms. Comparable findings were observed among the subgroup of individuals who undergo chest computed tomography scans as a part of their routine health check-up. Presence of respiratory symptoms, especially chest pain, was associated with increased the odds of anxiety (OR =2.2; P<0.001) and depression (OR =2.5; P<0.001) in patients. Conclusions: Respiratory symptoms are common in PN patients, exhibiting a higher prevalence in patients with larger and multiple PNs and there is a strong association with exposure to environmental risk factors. These symptoms might exacerbate the anxiety and depression level in patients.

Study of Respiratory Symptoms and Pulmonary Function among Neem Oil Industry Workers.

This study aims to investigate the pulmonary functions and respiratory symptoms of workers in the neem oil extraction industry in Tamil Nadu, India, who are exposed to neem oil dust and chemicalsin their occupational environment. Fifty male workers from the exposed group and 50 male workers from the non-exposed group to neem dust and chemicals were investigated for this study. A modified respiratory assessment questionnaire based on the American Thoracic Society (ATS) standard and portable hand-held spirometry were used to assess their respiratory symptoms and pulmonary function. Respiratory symptoms such as coughing, sneezing, wheezing, and, nasal irritation are found to be higher in the exposed groups than in the controlled groups. The pulmonary function of exposed workers had doubled respiratory problems than the controlled groups, which indicates the impacts of dust and chemicals generated during neem oil extraction on workers' health. Forced expiratory volume in one second (FEV1)/forced vital capacity FVC)% was noted regarding the duration of exposure to neem oil dust (P < 0.001). Also, there was a high difference between the heavily exposed and the lightly exposed (P < 0.001). Hence, to mitigate these problems, the oil mill workers should be cautious and wear personal protection equipment during working hours, and it is recommended to have an exhaust ventilation system.

TOLLIP and MUC5B modulate the effect of ambient NO2 on respiratory symptoms in infancy.

BACKGROUND: Current knowledge suggests that the gene region containing MUC5B and TOLLIP plays a role in airway defence and airway inflammation, and hence respiratory disease. It is also known that exposure to air pollution increases susceptibility to respiratory disease. We aimed to study whether the effect of air pollutants on the immune response and respiratory symptoms in infants may be modified by polymorphisms in MUC5B and TOLLIP genes. METHODS: 359 healthy term infants from the prospective Basel-Bern Infant Lung Development (BILD) birth cohort were included in the study. The main outcome was the score of weekly assessed respiratory symptoms in the first year of life. Using the candidate gene approach, we selected 10 single nucleotide polymorphisms (SNPs) from the MUC5B and TOLLIP regions. Nitrogen dioxide (NO2) and particulate matter ≤10 µm in aerodynamic diameter (PM10) exposure was estimated on a weekly basis. We used generalised additive mixed models adjusted for known covariates. To validate our results in vitro, cells from a lung epithelial cell line were downregulated in TOLLIP expression and exposed to diesel particulate matter (DPM) and polyinosinic-polycytidylic acid. RESULTS: Significant interaction was observed between modelled air pollution (weekly NO2 exposure) and 5 SNPs within MUC5B and TOLLIP genes regarding respiratory symptoms as outcome: E.g., infants carrying minor alleles of rs5744034, rs3793965 and rs3750920 (all TOLLIP) had an increased risk of respiratory symptoms with increasing NO2 exposure. In vitro experiments showed that cells downregulated for TOLLIP react differently to environmental pollutant exposure with DPM and viral stimulation. CONCLUSION: Our findings suggest that the effect of air pollution on respiratory symptoms in infancy may be influenced by the genotype of specific SNPs from the MUC5B and TOLLIP regions. For validation of the findings, we provided in vitro evidence for the interaction of TOLLIP with air pollution.

Effects of vaccination on COVID-19 infection symptoms in multiple sclerosis patients.

Background: Patients with multiple sclerosis (MS) are at higher risk of having infections due to receiving disease modifying therapies. The current study was conducted among Iranian MS patients who had experienced at least one episode of COVID-19 infection in order to evaluate the effects of COVID-19 vaccination on symptoms of their infection. Data on demographic information, MS characteristics, COVID-19 infection details, and vaccination status were collected. Statistical analyses, were performed to evaluate the association between vaccination and symptoms of COVID-19 infection. Methods: This cross-sectional study was conducted on confirmed MS patients. Demographic data and COVID-19 related symptoms were gathered via an online questionnaire. Confirmation of patients' who declared to be vaccinated was checked by their COVID-19 vaccination card. Results: A total of 236 MS patients participated in the study. The majority were female (79.7%), with a mean age of 36.1 ± 7.9 years. Among the participants, 72.5% had received the COVID-19 vaccine before their first episode of COVID-19 infection. The analysis showed a significant difference in the incidence of respiratory symptoms (P-value: 0.01) and headache (P-value: 0.04) between vaccinated and non-vaccinated individuals. Logistic regression analysis revealed that vaccinated MS patients had lower odds of developing respiratory symptoms (OR:0.29, 95% CI: 0.16 to 0.53, P-value<0.001) or headache (OR: 0.50, 95% CI: 0.25 to 0.98, P-value: 0.04) during their next COVID-19 infection episode. Moreover, MS patients who were receiving immunosuppressive drugs were less likely to have respiratory symptoms (OR:0.35, 95% CI: 0.16 to 0.77, P-value:0.009) but not headache (OR: 0.69, 95% CI: 0.30 to 1.60, P-value: 0.39). Conclusion: COVID-19 vaccination can reduce the incidence of respiratory symptoms and headaches in MS patients during COVID-19 infection episodes. Additionally, patients who are receiving immunosuppressive drugs may benefit from COVID-19 vaccination.

Respiratory Symptoms and Changes of Oxidative Stress Markers among Motorbike Drivers Chronically Exposed to Fine and Ultrafine Air Particles: A Case Study of Douala and Dschang, Cameroon.

Recent studies revealed that the high production of reactive oxidative species due to exposure to fine or ultrafine particles are involved in many chronic respiratory disorders. However, the poor standard of clinical data in sub-Saharan countries makes the assessment of our knowledge on the health impacts of air pollution in urban cities very difficult. Objective: The aim of this study was to evaluate the distribution of respiratory disorders associated with exposure to fine and ultrafine air particles through the changes of some oxidative stress biomarkers among motorbike drivers from two cities of Cameroon. Methods: A cross-sectional survey using a standardized questionnaire was conducted in 2019 on 191 motorcycle drivers (MDs) working in Douala and Dschang. Then, the activities of superoxide dismutase (SOD) and the level of malondialdehyde (MDA) were measured using colorimetric methods. The data of participants, after being clustered in Microsoft Excel, were analyzed and statistically compared using SPSS 20 software. Results: The motorbike drivers recruited from both cities were from 21 to 40 years old, with a mean age of 29.93 (±0.82). The distribution of respiratory disorders, such as a runny nose, cold, dry cough, chest discomfort, and breathlessness, was significantly increased among MDs in Douala. According to the results of biological assays, SOD and MDA were significantly greater among the MDs recruited in Douala compared to those of Dschang. The change in these oxidative stress markers was significantly positively correlated with the mobilization of monocytes and negatively correlated with neutrophils, showing the onset and progression of subjacent inflammatory reactions, and it seemed to be significantly influenced by the location MDs lived in. Conclusions: Through this study, we have confirmed the evidence supporting that the onset and progression of oxidative stress is caused by the long-term exposure to fine or ultrafine air particles among working people living in urban cities. Further studies should be conducted to provide evidence for the cellular damage and dysfunction related to the chronic exposure to fine particulate matter (PM) in the air among working people in the metropolitan sub-Saharan Africa context.

Rehabilitation Is Associated With Improvements in Post-COVID-19 Sequelae.

BACKGROUND: Post-COVID-19 syndrome has affected millions of people, with rehabilitation being at the center of non-pharmacologic care. However, numerous published studies show conflicting results due to, among other factors, considerable variation in subject characteristics. Currently, the effects of age, sex, time of implementation, and prior disease severity on the outcomes of a supervised rehabilitation program after COVID-19 remain unknown. METHODS: This was a non-randomized case-control study. Subjects with post-COVID-19 sequelae were enrolled. Among study participants, those who could attend an 8-week, supervised rehabilitation program composed the intervention group, whereas those who couldn't the control group. Measurements were collected at baseline and 8 weeks thereafter. RESULTS: Study groups (N = 119) had similar baseline measurements. Participation in rehabilitation (n = 47) was associated with clinically important improvements in the 6-min walk test (6MWT) distance, adjusted (for potential confounders) odds ratio (AOR) 4.56 (95% CI 1.95-10.66); 1-min sit-to-stand test, AOR 4.64 (1.88-11.48); Short Physical Performance Battery, AOR 7.93 (2.82-22.26); health-related quality of life (HRQOL) 5-level EuroQol-5D (Visual Analog Scale), AOR 3.12 (1.37-7.08); Montreal Cognitive Assessment, AOR 6.25 (2.16-18.04); International Physical Activity Questionnaire, AOR 3.63 (1.53-8.59); Fatigue Severity Scale, AOR 4.07 (1.51-10.98); Chalder Fatigue Scale (bimodal score), AOR 3.33 (1.45-7.67); Modified Medical Research Council dyspnea scale (mMRC), AOR 4.43 (1.83-10.74); Post-COVID-19 Functional Scale (PCFS), AOR 3.46 (1.51-7.95); and COPD Assessment Test, AOR 7.40 (2.92-18.75). Time from disease onset was marginally associated only with 6MWT distance, AOR 0.99 (0.99-1.00). Prior hospitalization was associated with clinically important improvements in the mMRC dyspnea scale, AOR 3.50 (1.06-11.51); and PCFS, AOR 3.42 (1.16-10.06). Age, sex, and ICU admission were not associated with the results of any of the aforementioned tests/grading scales. CONCLUSIONS: In this non-randomized, case-control study, post-COVID-19 rehabilitation was associated with improvements in physical function, activity, HRQOL, respiratory symptoms, fatigue, and cognitive impairment. These associations were observed independently of timing of rehabilitation, age, sex, prior hospitalization, and ICU admission.

Comprehensive appraisal of lung function in young COPD patients: a single center observational study.

PURPOSE: The present study aimed to investigate the clinical characteristics and lung function impairment in young people diagnosed with chronic obstructive pulmonary disease (COPD). PATIENTS AND METHODS: We retrospectively enrolled patients with COPD who underwent symptom assessment and comprehensive pulmonary function tests at the First Affiliated Hospital of Guangzhou Medical University between August 2017 and March 2022. The patients were categorized into two groups based on age: a young COPD group (aged 20-50 years) and an old COPD group (aged > 50 years). RESULTS: A total of 1282 patients with COPD were included in the study, with 76 young COPD patients and 1206 old COPD patients. Young COPD patients exhibited a higher likelihood of being asymptomatic, lower rates of smoking, and a lower smoking index compared to old COPD patients. Although young COPD patients had higher median post-bronchodilator forced expiratory volume in 1 s (post-BD FEV1) (1.4 vs.1.2 L, P = 0.019), diffusing capacity of the lung for carbon monoxide (DLCO) (7.2 vs. 4.6, P<0.001), and a lower median residual volume to total lung capacity ratio (RV/TLC) compared to their older counterparts, there were no differences observed in severity distribution by GOLD categories or the proportion of lung hyperinflation (RV/TLC%pred > 120%) between two groups. Surprisingly, the prevalence of reduced DLCO was found to be 71.1% in young COPD, although lower than in old COPD (85.2%). CONCLUSION: Young COPD showed fewer respiratory symptoms, yet displayed a similar severity distribution by GOLD categories. Furthermore, a majority of them demonstrated lung hyperinflation and reduced DLCO. These results underscore the importance of a comprehensive assessment of lung function in young COPD patients.

Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ.

Short-term exposure to ground-level ozone (O3) poses significant health risks, particularly respiratory and cardiovascular diseases, and mortality. This study addresses the pressing need for accurate O3 forecasting to mitigate these risks, focusing on South Korea. We introduce Deep Bias Correction (Deep-BC), a novel framework leveraging Convolutional Neural Networks (CNNs), to refine hourly O3 forecasts from the Community Multiscale Air Quality (CMAQ) model. Our approach involves training Deep-BC using data from 2016 to 2019, including CMAQ's 72-hour O3 forecasts, 31 meteorological variables from the Weather Research and Forecasting (WRF) model, and previous days' station measurements of 6 air pollutants. Deep-BC significantly outperforms CMAQ in 2021, reducing biases in O3 forecasts. Furthermore, we utilize Deep-BC's daily maximum 8-hour average O3 (MDA8 O3) forecasts as input for the AirQ+ model to assess O3's potential impact on mortality across seven major provinces of South Korea: Seoul, Busan, Daegu, Incheon, Daejeon, Ulsan, and Sejong. Short-term O3 exposure is associated with 0.40 % to 0.48 % of natural cause and respiratory deaths and 0.67 % to 0.81 % of cardiovascular deaths. Gender-specific analysis reveals higher mortality rates among men, particularly from respiratory causes. Our findings underscore the critical need for region-specific interventions to address air pollution's detrimental effects on public health in South Korea. By providing improved O3 predictions and quantifying its impact on mortality, this research offers valuable insights for formulating targeted strategies to mitigate air pollution's adverse effects. Moreover, we highlight the urgency of proactive measures in health policies, emphasizing the significance of accurate forecasting and effective interventions to safeguard public health from the deleterious effects of air pollution.

Symptom phenotyping in people with cystic fibrosis during acute pulmonary exacerbations using machine-learning K-means clustering analysis.

INTRODUCTION: People with cystic fibrosis (PwCF) experience frequent symptoms associated with chronic lung disease. A complication of CF is a pulmonary exacerbation (PEx), which is often preceded by an increase in symptoms and a decline in lung function. A symptom cluster is when two or more symptoms co-occur and are related; symptom clusters have contributed meaningful knowledge in other diseases. The purpose of this study is to discover symptom clustering patterns in PwCF during a PEx to illuminate symptom phenotypes and assess differences in recovery from PExs. METHODS: This study was a secondary, longitudinal analysis (N = 72). Participants at least 10 years of age and being treated with intravenous antibiotics for a CF PEx were enrolled in the United States. Symptoms were collected on treatment days 1-21 using the CF Respiratory Symptom Diary (CFRSD)-Chronic Respiratory Symptom Score (CRISS). K-means clustering was computed on day 1 symptom data to detect clustering patterns. Linear regression and multi-level growth models were performed. RESULTS: Symptoms significantly clustered based on severity: low symptom (LS)-phenotype (n = 42), high symptom (HS)-phenotype (n = 30). HS-phenotype had worse symptoms and CRISS scores (p< 0.01) than LS-phenotype. HS-phenotype was associated with spending 5 more nights in the hospital annually (p< 0.01) than LS-phenotype. HS-phenotype had worse symptoms over 21 days than LS-phenotype (p< 0.0001). CONCLUSION: Symptoms significantly cluster on day 1 of a CF-PEx. PwCF with HS-phenotype spend more nights in the hospital and are less likely to experience the same resolution in symptoms by the end of PEx treatment than LS-phenotype.