Serum Protein Electrophoresis Bands As Biomarkers for Drug-Sensitive Pulmonary Tuberculosis.

INTRODUCTION: India has the highest cases of tuberculosis worldwide. According to WHO (2022), the incidence of tuberculosis in India is 210 per 100,000 population. Their incidence of new positive smear cases is 75 per 100,000 population per year. In tuberculosis, the level of albumin decreases while globulin increases leading to a low albumin to globulin (A/G) ratio, and electrophoresis of serum proteins are good diagnostic approach and provides essential information for monitoring treatment outcomes. MATERIALS AND METHODS: The present study includes 50 cases of pulmonary tuberculosis and 50 age-sex-matched healthy controls. Initially, serum protein estimation and electrophoresis were performed in newly diagnosed patients and controls. All drugs were given as National Tuberculosis Elimination Programme (NTEP) guidelines and blood samples were collected at two-month, four-month, and six-month intervals, and different serum protein fractions were compared and analyzed. RESULTS: The total serum protein was significantly lower in the cases than in the controls; 6.12±0.61 vs. 7.02±0.56 g/dL (p˂0.0020, t-value=3.12). The mean serum albumin was also significantly lower in the cases compared to the controls; 1.65±0.69 vs. 3.87±0.47g/dL (p˂0.0001, t-value=10.98). The α1 globulin started to rise after four months of treatment and at six months level was 0.262±0.32 g/dL. The level of γ globulin continuously decreases after antituberculous treatment to 1.56±0.67 gm/dL at six months. CONCLUSION: The cause of the decrease in total protein and albumin may be due to malnutrition leading to low cellular immunity. Serum protein level and protein electrophoresis should be analyzed as routine tests in patients before, during, and after treatment. It helps us in identifying patients at risk of pulmonary tuberculosis as well prognosis of the disease. This study is a valuable guide in deciding the effective management of tuberculosis patients with drug treatment plans and appropriate dietary intake. Hence, it highlights the complex relationship that exists between poverty and disease.

Monitoring and Root Cause Analysis of Clinical Biochemistry Turnaround Time at a Tertiary Care Institute.

INTRODUCTION: Most laboratories around the world have focused on improving the analytical quality of laboratory tests. Laboratory turnaround time (TAT) is often left unnoticed and under-recognised in the healthcare setting. Both patients and clinicians are more interested in receiving rapid, reliable, and accurate results. This can be achieved by improving the TAT through the identification of the causes that lead to delayed TAT. MATERIALS AND METHODS: This prospective study aims to identify the cause of delayed TATs within the outpatient department and implement corrective strategies to overcome them. A total of 214 samples were received. The study was conducted for a period of two years; of all the samples received, 154 were from the outpatient department, and 78 samples exceeded the expected TAT. The samples were analysed in the clinical biochemistry department of the hospital. The time spent at each station was determined using an internal computer system, which was also used to identify the samples that exceeded TATs. The primary outcome of the study was to identify the number of samples exceeding TAT and the causes of it. RESULTS: Upon implementation of corrective measures and root cause analysis, the TATs were reduced from 80-88% to 11-33%. After analysing the duration of time for the samples that exceeded TAT, 45.1% and 37.5% exceeded 30 minutes in Year 1 and Year 2, respectively. Only 3.2% and 6.2% exceeded five hours in Year 1 and Year 2, respectively. Furthermore, using root cause analysis, it was found that 12% of the delay was due to increased waiting time or sample collection, 14% included other causes such as outsourcing of samples, and 18% of the delay was due to pre-analytic processing time. CONCLUSION: Our study concludes that TAT is an important quality assessment tool within the laboratory setting, and with proper identification of causes, it can be improved. Although monitoring TAT is a tedious process that mandates tremendous efforts, with the presence of real-time monitoring, improving TAT is an achievable goal. This, in turn, can improve patient treatment outcomes and clinician satisfaction.