The Association of Pulmonary Tuberculosis, Abnormal Glucose Tolerance, and Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Study

CA, Jayashankar; Bm, Manjunath; Pinnelli, Venkata BharatKumar; Kandi, Venkataramana; As, Shalini; Mathew, Harsha A.; Gundreddy, Honika; Afreen, Fareeha; Vadakedath, Sabitha

doi:10.7759/cureus.19758

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Previous research has reported that the prevalence of T2DM in the TB population reached approximately 33.3%. 40 Our study showed the prevalence of T2MD is reaching 20.28% in PTB patients, which is lower than the previous report. The possible reason for the results is that the subjects in this study are PTB patients rather than TB patients.…”

Section: Discussioncontrasting

confidence: 81%

The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis Patients

Yu¹,

Weng²,

Luo³

et al. 2022

IDR

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Purpose This study was to explore the predictive value of monocyte to high-density lipoprotein cholesterol ratio (MHR), neutrophils to high-density lipoprotein cholesterol ratio (NHR), C-reactive protein-to-lymphocyte ratio (CLR), and C-reactive protein-to-albumin ratio (CAR) for type 2 diabetes mellitus (T2DM) in patients with active pulmonary tuberculosis (APTB). Patients and Methods A total of 991 active pulmonary tuberculosis (APTB) patients (201 with T2DM) were hospitalized in the Department of Tuberculosis, Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology were included. The routine blood examination indicators and biochemical parameters were collected to calculate MHR, NHR, CLR, and CAR. The Pearson correlation analysis, Univariate Logistic regression analysis, and receiver operating characteristic (ROC) curve analysis were performed to assess the predictive value of MHR, NHR, CLR, and CAR for APTB-T2DM patients. Results The levels of MHR, NHR, CLR, and CAR in the APTB-T2DM patients were significantly higher than in the APTB-no T2DM patients (P < 0.05). Additionally, the MHR, NHR, CLR, and CAR have a positive correlation with fasting blood glucose in the whole study population. However, in the APTB-T2DM patients, MHR, NHR, and CAR were not correlated with fasting blood glucose, and only CLR was positively correlated with fasting blood glucose. The area under curve (AUC) predicting APTB-T2DM patients of the MHR, NHR, CLR, and CAR was 0.632, 0.72, 0.715, and 0.713, respectively. Further, univariate logistic regression analyses showed that the higher MHR, NHR, CLR, and CAR were independent risk factors for APTB-T2DM (P < 0.01). The MHR, NHR, CLR, and CAR quartiles were used to divide the APTB patients into four groups for further analysis. The prevalence of T2DM was significantly higher in APTB individuals as MHR, NHR, CLR, and CAR values increased (P < 0.05). Conclusion MHR, NHR, CLR, and CAR are simple and practicable inflammatory parameters that could be used for assessing T2DM in APTB. APTB patients have a greater possibility to be diagnosed with T2DM with the higher MHR, NHR CLR, and CAR values. Therefore, more attention should be given to the indicator in the examination of APTB.

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Section: Discussioncontrasting

confidence: 81%

The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis Patients

Yu¹,

Weng²,

Luo³

et al. 2022

IDR

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“…Более высокая концентрация в крови другого важного сахарида -глюкозы -может сопровождать течение туберкулезной инфекции [23], но такой важный показатель как уровень глюкозы связан со слишком большим количеством процессов в организме, поэтому опираться только на данный показатель невозможно [9,36].…”

Section: медиаторы липидной и углеводной природыunclassified

Metabolic biological markers for diagnosing and monitoring the course of tuberculosis

Korotetskaya¹,

Rubakova²

2022

Russian Journal of Infection and Immunity

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The international biomedical community has been currently facing a need to find a simple and most accessible type of analysis that helps to diagnose tuberculosis (TB) with the maximum reliability even before the onset of clinical manifestations. Tuberculosis results in more deaths than any other pathogen, second only to pneumonia caused by the SARS-CoV-2 virus, but the majority of infected people remain asymptomatic. In addition, it is important to develop methods to distinguish various forms of tuberculosis infection course at early stages and to reliably stratify patients into appropriate groups (persons with a rapidly progressing infection, chronic course, latent infection carriers). Immunometabolism investigates a relationship between bioenergetic pathways and specific functions of immune cells that has recently become increasingly important in scientific research. The host anti-mycobacteria immune response in tuberculosis is regulated by a number of metabolic networks that can interact both cooperatively and antagonistically, influencing an outcome of the disease. The balance between inflammatory and immune reactions limits the spread of mycobacteria in vivo and protects from developing tuberculosis. Cytokines are essential for host defense, but if uncontrolled, some mediators may contribute to developing disease and pathology. Differences in plasma levels of metabolites between individuals with advanced infection, LTBI and healthy individuals can be detected long before the onset of the major related clinical signs. Changes in amino acid and cortisol level may be detected as early as 12 months before the onset of the disease and become more prominent at verifying clinical diagnosis. Assessing serum level of certain amino acids and their ratios may be used as additional diagnostic markers of active pulmonary TB. Metabolites, including serum fatty acids, amino acids and lipids may contribute to detecting active TB. Metabolic profiles indicate about increased indolamine 2.3-dioxygenase 1 (IDO1) activity, decreased phospholipase activity, increased adenosine metabolite level, and fibrous lesions in active vs. latent infection. TB treatment can be adjusted based on individual patient metabolism and biomarker profiles. Thus, exploring immunometabolism in tuberculosis is necessary for development of new therapeutic strategies.

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“…infectious death worldwide. It is a well-known fact that the prevalence of pulmonary tuberculosis is high in patients with type 2 diabetes mellitus (T2DM) [3].…”

Section: Introductionmentioning

confidence: 99%

The implementation of foot reflection massage therapy of nursing care on the quality of sleep patterns in pulmonary tb patients

2023

FEM

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Aims: Evaluating the effectiveness of foot reflexology massage therapy on sleep patterns in Pulmonary Tuberculosis patients at Royal Prima Hospital. Study design: The design used was a quasi experiment with a case study. The sample in this study was 1 patient. Criteria: Patients are treated for no more than 2 days in the inpatient room. Data collection methods included interviews, observation, and documentation. Place and Duration of Study: Royal Prima Hospital and 1 month Methodology: Quantitative Results: the foot reflexology intervention and the results criteria that have been previously prepared, the nursing problem in diagnosing sleep pattern disorders related to lack of sleep control can be resolved Conclusion: sleep pattern disorders related to the lack of sleep control can be resolved.

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The Association of Pulmonary Tuberculosis, Abnormal Glucose Tolerance, and Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Study

Cited by 3 publications

References 15 publications

The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis Patients

The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis Patients

Metabolic biological markers for diagnosing and monitoring the course of tuberculosis

The implementation of foot reflection massage therapy of nursing care on the quality of sleep patterns in pulmonary tb patients

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