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Introduction The textile industry is one of the largest economic activities. Still, the laborers involved in it are exposed to various health-damaging air pollutants, putting them at risk of health issues including morbidities of the respiratory system. Therefore, this study aimed to assess the pulmonary function parameters of the workers involved in textile manufacturing-related jobs. Methodology A cross-sectional study was carried out among adult individuals who had been working in textile manufacturing-related jobs as their main work. The details such as sociodemographic, clinical, workplace conditions, and smoking habits were collected, as well as chest auscultation and lung spirometry using a hand-held spirometer. The participants who had normal and abnormal lung function patterns were statistically analyzed for potential influencing factors. Results The findings of the study conducted from 95 eligible participants identified that the pulmonary function parameters assessed by spirometry were in the abnormal range among 84 (88%) participants. Around 72 (82%) of them had a restrictive pattern, and six (6%) had both restrictive and obstructive (mixed) patterns of lung disease. Smokers and those who lacked cross-ventilation and/or fresh source of air in the workplace were more likely to have abnormal lung function. Participants who had their workplace and residence as same had significantly 6.44 (95% CI: 1.24, 33.36) times higher odds of having abnormal lung function in spirometry. Conclusion As workers involved in household-run textile manufacturing jobs are found to be at a higher risk of developing abnormal lung function, using personal protective equipment, following occupational safety measures, and improving the working environment to acceptable standards are essential to safeguard the respiratory health of laborers in such unorganized sectors.
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Background Hypercholesterolemia is a condition where blood levels of cholesterol are high. It is of two types: The first type is familial hypercholesterolemia, which is hereditary, and the second one is due to diseases like diabetes, thyroid, etc. Achilles tendon xanthomas are noted in both types of hypercholesterolemia, which can be used as an indicator that predicts early cardiovascular disease. The aim of the study is to estimate the Achilles tendon thickness (ATT) and softness among hypercholesterolemia patients and to find the correlation between ATT and total cholesterol. Methodology A hospital-based cross-sectional, analytical study was done in a tertiary care hospital, Salem, for eight months. Patients of age over 18 years of both sexes who came for screening of total cholesterol in the outpatient department were included in the study. Those patients with a history of previous leg injury involving the Achilles tendon were excluded from the study. A pre-structured questionnaire was used to collect the data, and analysis was done using Statistical Package for the Social Sciences (SPSS) v20 (IBM Corp., Armonk, NY). The analysts performed the Pearson correlation test to determine the correlation between two continuous variables. A p-value of less than 0.05 was used to indicate statistical significance. Results In this study, there are 40 participants in the normal group and about 60 participants in the secondary hypercholesterolemia group. The mean ATT value among males and females was 9.3 and 6.1 mm, respectively. A positive correlation was noted between the ATT and total cholesterol value (p-value = 0.0001). Conclusion The thickness and softness of the Achilles tendon are positively correlated with the serum total cholesterol level. Males are the group where this correlation is most significant. As a result, men have a higher risk of developing Achilles tendon thickening than women. The thickness of the Achilles tendon can therefore be one of the early signs of high cholesterol levels. The clinician can utilize this indicator to evaluate early abnormal cardiac illness.
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Introduction In December of the year 2020, the SARS-CoV-2 virus was discovered in Wuhan, China. It extended to over 180 nations around the world. It can manifest in patients who are asymptomatic to those who are symptomatic, with symptoms ranging from anosmia to severe respiratory distress syndrome. It affects both men and women. The existence of comorbidity is also linked to a significant worsening of the infection. Despite the fact that the principal consequences of coronavirus disease 2019 (COVID-19) damage the lungs, the prevalence of current smokers among COVID-19 hospitalized patients has repeatedly been observed to be lower than the prevalence of smokers in the general community. As a result, the evidence from various studies appears to cast doubt on active smoking as a risk factor for COVID-19 pneumonia. Thus, with this background, this study has been conducted with the aim of assessing the influence of smoking as a risk factor for COVID-19 mortality. Methodology An observational study was conducted in a tertiary care center in Tamil Nadu for a period of three months (April 2021 to June 2021). The study participants were all the patients admitted to the COVID-19 ward of the department of general medicine during the study period. Those who were not willing to participate in the study were excluded. The questionnaire contains variables including socio-demographic characteristics, vitals, and investigations, and the outcome variable was death due to COVID-19. The data obtained were entered in Microsoft Excel (Microsoft Corporation, Redmond, WA) and the results were analyzed using SPSS version 21 (IBM Corp., Armonk, NY). Results About 401 individuals participated in the study. The mean age, COVID-19 Reporting and Data System (CO-RADS) score, and CT severity score of the study participants were 50 years, 4.91, and 10.61, respectively. About 63.3% of participants were males, about 92% have not been vaccinated, about 91.8% have a CO-RADS score of 5, about 45.1% were smokers, and about 15.7% have died despite effective treatment. When looking for adverse outcomes, being male (p = 0.047), non-vaccinated for COVID-19 (p = 0.042), and being a smoker (p = 0.008) were the factors that showed statistical significance. Conclusion The mortality due to COVID-19 is high among smokers than non-smokers with statistical significance. Thus, before admitting COVID-19 patients, to classify the patients as mild, moderate, and severe, the risk factor of the habit of smoking can be added. Cigarette smoke is harmful to the lungs in a variety of ways, and further research is needed to understand why there is such a low proportion of current smokers among COVID-19 patients in hospitals. The impact of current smoking on SARS-CoV-2 infection is a delicate and complex topic that should be thoroughly investigated before sending out potentially misunderstood signals.
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Introduction: The Coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was initially reported in Wuhan and later spread to the rest of the world.[1] The incidence of thrombotic events has been reported to be 16% in patients admitted for COVID-19 with an increase in the fibrinogen level and D-dimer level which was associated with mortality. D-Dimer was found to be elevated in severely ill patients admitted in the intensive care unit (ICU) and the dead patients. This study was done to find the prevalence of D-dimer elevation among the COVID-19 patients and its impact on the outcome and to find out the association between the D-dimer elevation and severity of the disease. Methodology: A hospital-based cross-sectional study was conducted from August 2020 to September 2020 in a tertiary care hospital in Salem in the Internal Medicine Department. All the COVID-19 patients of both sexes and all age groups were included in the study. The non-COVID pneumonia cases were excluded from the study. The data were collected from the participants after obtaining their written consent to take part in the study and the data were collected using a pretested and pre-validated schedule. Institutional ethical committee clearance was obtained before the start of the study. Results: The mean age of the patients was found to be 54.89 ± 14.4 with the minimum age being 14 and the maximum age being 87. The prevalence of the D-dimer elevation was found to be 143 (81.8%). D-Dimer was found to be significant with severe COVID infection. Conclusion: The D-dimer levels were found to be more in severe COVID infections compared to mild COVID infections. Furthermore, research is required in this field.
