Advancements in Artificial Intelligence for the Diagnosis of Multidrug Resistance and Extensively Drug-Resistant Tuberculosis: A Comprehensive Review.

Tuberculosis (TB) remains a significant global health concern, particularly with the emergence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB). Traditional methods for diagnosing drug resistance in TB are time-consuming and often lack accuracy, leading to delays in appropriate treatment initiation and exacerbating the spread of drug-resistant strains. In recent years, artificial intelligence (AI) techniques have shown promise in revolutionizing TB diagnosis, offering rapid and accurate identification of drug-resistant strains. This comprehensive review explores the latest advancements in AI applications for the diagnosis of MDR-TB and XDR-TB. We discuss the various AI algorithms and methodologies employed, including machine learning, deep learning, and ensemble techniques, and their comparative performances in TB diagnosis. Furthermore, we examine the integration of AI with novel diagnostic modalities such as whole-genome sequencing, molecular assays, and radiological imaging, enhancing the accuracy and efficiency of TB diagnosis. Challenges and limitations surrounding the implementation of AI in TB diagnosis, such as data availability, algorithm interpretability, and regulatory considerations, are also addressed. Finally, we highlight future directions and opportunities for the integration of AI into routine clinical practice for combating drug-resistant TB, ultimately contributing to improved patient outcomes and enhanced global TB control efforts.

Assessment of COVID-19 RT-PCR Positive Symptomatic Patients With Clinical, Hematological, and Radiological Parameters Among Three Groups: A Comparative Study.

BACKGROUND: Nearly 70.1 million individuals have been infected by the pandemic viral disease known as coronavirus disease 2019 (COVID-19), which was first discovered in China and is caused by a novel coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS­CoV­2). This disease is responsible for the deaths of 6 million people. India ranks third in the total number of cases. The purpose of this study was to classify COVID-19 patients according to several criteria and to determine which clinical, hematological, and radiological indicators were most important in their care. MATERIALS AND METHODS: An analytical cross-sectional study was conducted on a total of 70 symptomatic patients who tested positive for COVID-19 reverse transcription polymerase chain reaction (RT-PCR) and were hospitalized at the Saveetha Medical College and Hospital in Chennai, Tamil Nadu, India, for the duration of the study. Comorbidities and oxygen reliance were taken into consideration while classifying patients into one of three categories. Initial symptoms, as well as hematological (interleukin-6 (IL-6), erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), D-dimer, serum ferritin, and total cell counts) and radiographic (X-ray and computed tomography (CT) of the thorax) characteristics, were taken and analyzed among the different groups. RESULTS: According to our research, the symptom of fever was the most common, accounting for 84.3% of all cases. This was followed by breathlessness (55.7%), myalgia (31.4%), dry cough (27.1%), sore throat (24.3%), cough with expectoration (20%), loose stools (12.9%), loss of taste (12.9%), and smell (11.4%). Although there was a large amount of variation in D-dimer, with Category C having the highest values, there was only a minor amount of variation in ESR and CRP. The X-ray and CT scans of the chest showed substantial differences between the groups, with CT findings such as COVID-19 Reporting and Data System (CO-RADS) and CT severity score, consolidation, crazy paving pattern, and vascular dilatation showing a wide range of differences between the groups. CONCLUSIONS: To facilitate easier treatment and place more attention on radiological characteristics using D-dimer, treating physicians are required to categorize COVID-19 patients into several groups. Patients who need oxygen support were included in this category.

Assessment of Lipid Profile in Patients With Pulmonary Tuberculosis: An Observational Study.

BACKGROUND: Mycobacterium tuberculosis causes tuberculosis (TB), an infectious lung disease. There is mounting evidence linking low lipid levels to a variety of human diseases, including TB. Cholesterol, mainly due to its involvement in heart disease, gets more attention in recent years. The objectives of the study were to look into the link that connects hypolipidemia to the existence of pulmonary/extrapulmonary TB; we have tried to find the link in relation to patients who have been recently diagnosed with TB as well as in those who are having TB in the long term. MATERIALS AND METHODS: An observational study was performed on TB patients attending respiratory medicine at the Saveetha Medical College and Hospital, Chennai, Tamil Nadu, India, from February 2021 to January 2022, and their lipid levels were tested from patients with consent and correlated. Student's t-test was applied to the obtained data. To convey quantitative data, measurements such as mean along with standard deviation were applied, and a p-value of 0.05 was considered statistically significant. RESULTS: This research included 80 subjects, 40 of whom were diagnosed with TB, and the rest (40 controls) were deemed healthy. The age group with the highest low lipid levels in pulmonary TB was 40-50 years. A chi-square test of association was conducted; this test revealed that the fraction of TB patients having lower than normal levels of total cholesterol (p = 0.0001), triglyceride level (p = 0.006), high-density lipoprotein (p = 0.009), low-density lipoprotein (p = 0.006), and body mass index (p = 0.000) was statistically significantly higher in contrast to the control group. Thus, there was a significant correlation between a higher prevalence of hypolipidemia in patients with pulmonary tuberculosis (PTB) and normal healthy individuals. CONCLUSIONS: We observed a strong relationship between hypolipidemia and TB, indicating that patients with low lipid levels tend to have severe inflammation as compared to patients with normal lipid levels.

Pulmonary Manifestations at Different Stages in the Chronic Kidney Disease: An Observational Study.

INTRODUCTION: By a variety of pathogenic pathways, kidney diseases can have a direct negative impact on the lungs and worsen the prognosis for those with chronic renal disease. Chronic kidney disease (CKD) is a public health concern throughout the world. The relationship between the kidneys and lungs is crucial for maintaining acid-base balance, fluid homeostasis, and blood pressure control. These patients have a higher prevalence of lung dysfunction regardless of the disease's stage, including sleep apnea syndrome, pulmonary hypertension, and chronic obstructive pulmonary disease (COPD). The chance of getting a pulmonary consequence increases with the severity of kidney disease. In individuals with chronic renal disease, this study looked at the prevalence of several respiratory disorders. MATERIALS AND METHODS: From February 2021 to October 2021, 70 CKD patients who were receiving care at the Saveetha Medical College and Hospital were taken into consideration for the study. Clinical assessment and pertinent tests, such as a pulmonary function test, chest radiography, CT chest, sputum analysis, and pleural fluid analysis were performed. To evaluate left ventricular function, echocardiography was performed. Selected patients underwent polysomnography. RESULTS: The study's population had a mean age of 50 years. There was a 20:50 sex ratio (M:F). Seventy percent of them had respiratory conditions, the most frequent of which was pleural effusion (70%), followed by pulmonary edema (52%). The pleural effusion was primarily transudative and right sided. Both tuberculous pleural effusion and pulmonary tuberculosis were detected in 2% of the population. Seven percent of them developed pneumonia. 10% of patients had thickening of the pleura. Using chest CT and x-ray, 3% of patients had pulmonary calcification visible. In 12 (60%) out of the 20 patients who were studied, sleep apnea was observed. Two patients with tuberculosis and pneumonia lacked the typical signs. CONCLUSIONS: In our research study, CKD patients have a much higher preponderance of respiratory illnesses, which has negative effects on patient care.