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1.
Cureus ; 16(2): e55227, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38558583

ABSTRACT

Introduction Diabetes is a chronic disease that causes dysregulation of blood glucose. Type 2 diabetes mellitus (T2DM) could result in long-term inflammatory conditions that affect different organs of the body. Despite the availability of diagnostic markers like glycated hemoglobin (HbA1c) for T2DM, it is essential to find an appropriate marker that could predict long-term complications. This study evaluates the potential role of neutrophil-to-lymphocyte ratio (NLR) in predicting disease progression and treatment responses.  Methods This case-control study was carried out among 160 T2DM patients and 132 non-diabetic persons. Blood samples were collected from each participant and were processed for hemoglobin, HbA1c, iron, ferritin, and complete blood picture (NLR).  Results The study showed that there was a significant variation in the serum levels of ferritin (264.8±611.6 ng/ml versus 168.3±364.7 ng/ml, p=0.392), iron (4.095±8.851 mcg/dl versus 55.20±37.62 mcg/dl, p=0.0111), and HbA1c (8.169±1.635% versus 5.668±0.5260% p<0.0001) among T2DM patients compared to non-diabetic persons. The NLR values (4.189±4.154 versus 4.095±8.851, p=0.009) among patients with T2DM significantly varied with that of non-diabetic persons. A significant negative correlation was noticed between the serum levels of iron and NLR (r=-0.17, p=0.014) and a positive correlation was noticed between HbA1c and NLR (r=0.19, p=0.014). The serum levels of iron revealed a significant positive correlation with the serum levels of ferritin (r=0.24, p=0.002) and hemoglobin percentage (r=0.41, p=0.008). HbA1c revealed a significant positive correlation with NLR (r=0.19, p=0.014). Additionally, a significant negative correlation was observed between iron with NLR (r=-0.17, p=0.029) and hemoglobin percentage with NLR (r=-0.30, p=0.005). However, no such correlation was demonstrated among non-diabetic persons. With an accuracy of 89.85% and high sensitivity and specificity, NLR showed diagnostic accuracy like HbA1c.  Conclusions NLR demonstrated equivalent efficacy to HbA1c in predicting glycemic control. Since diabetes affects different organs of the body, evaluating NLR probably predicts inflammation. Therefore, NLR could be useful in the management of T2DM and in predicting long-term complications.

2.
Cureus ; 15(1): e33785, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36819336

ABSTRACT

Introduction The indoor air in hospitals could play a significant role in the transmission of a wide array of infections, especially in respiratory intensive care units, pulmonary outpatient departments, and other areas. Unprotected coughing and sneezing may facilitate the release of aerosols and contaminate the indoor environment. The majority of infections transmitted through these modes include viral diseases, including tuberculosis (TB), influenza, and measles, among several others. Moreover, the possibility of direct and indirect transmission of microbes by air has been underestimated in hospital settings, especially in developing countries. This study therefore was carried out to assess the burden of microbes in the air of selected wards in a tertiary care hospital and evaluate the occupational risk of some infections among healthcare workers (HCWs). Methods This study was carried out between September 2019 and February 2021 at a tertiary care teaching hospital in South India. A total of 30 symptomatic healthcare workers (HCWs) were included in the study and were screened for present and past tuberculosis (TB) as well as other lower respiratory tract infections. A tuberculin skin test, chest X-ray, and sputum acid-fast staining were performed on all the HCWs who were negative for other bacterial infections and were symptomatic. The study was conducted in coordination with the pulmonology department. Active monitoring of air was performed by microbiological air sampler in the respiratory intensive care unit (RICU) and other high-risk areas including the pulmonology outpatient department (OPD), the radiology OPD, and the microbiology department.  Results Sputum for tuberculous bacteria was positive in four (16.6%) HCWs. The chest X-ray showed radiological findings suggestive of TB in five (20.8%) HCWs. Three (12.5%) HCWs who were screened for extrapulmonary TB revealed one (33.3%) was positive for TB of the hip joint. Among the HCWs, eight (33%) returned positive tuberculin tests. Assessment of the hospital air in the RICU revealed the bacterial count (288 CFU/m3) exceeded the normal limit (≤50 CFU/m3). The COVID-19 isolation ward showed the lowest bacterial count (06 CFU/m3) and no fungi. The predominant bacterial isolates were gram-positive cocci in clusters (Methicillin-sensitive Staphylococcus aureus). After proper disinfection and correction of ventilation techniques, the resampling results noted microbial colonies under normal limits. Conclusion A high burden of TB was noted among the HCWs. The airborne infection control strategies are essential to minimize the risk of nosocomial infections and occupational TB risk to HCWs. Most microbes are transmitted through the airborne route and therefore it is extremely important to take measures to control the transmission of such pathogens in hospital settings.

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