{"title":"Use of Nitroblue Tetrazolium Test: Revisited in Context of COVID-19.","authors":"Erukkambattu Jayashankar, Ujjawal Khurana, Neelkamal Kapoor","doi":"10.1055/s-0042-1757418","DOIUrl":"https://doi.org/10.1055/s-0042-1757418","url":null,"abstract":"Coronavirus disease 2019 (COVID-19) is a pandemic caused by β coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-COV2) in which the virus binds to host cells via angiotensin-converting enzyme receptor, and the primary T cell immune response leads to recovery in asymptomatic/ mild infections. 1,2 However, in severe and critical type of illness, SARS-COV2 elicits an aberrant immune response involving interplay of events such as oxidative stress, lym-phocytic cytolysis, release of cytokines, chemotaxis, neutro-philia, and formation of neutrophil extracellular traps (NETs). 3 Increased levels of circulating NETs indicate neutrophil activity. The viral pathogenicity and altered immune response together led to deleterious series of events culmi-nating in acute respiratory distress syndrome (ARDS) and coagulopathy. is de fi","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"321-323"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b8/36/10-1055-s-0042-1757418.PMC10264120.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9653281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correlation between Estimated Average Glucose Levels Calculated from HbA1c Values and Random Blood Glucose Levels in a Cohort of Subjects.","authors":"Pinky Garg, Karthikeyan Pethusamy, Rajiv Ranjan","doi":"10.1055/s-0042-1757719","DOIUrl":"https://doi.org/10.1055/s-0042-1757719","url":null,"abstract":"Abstract Objective Hemoglobin A1c (HbA1c) level remains the gold standard test for the assessment of glycemic control, and it reflects the mean glucose values in the previous 3-month period. HbA1c is expressed as a percentage, whereas the monitoring and treatment of diabetes are based on blood glucose levels expressed as mg/dL. It is appropriate to make it easy for the patient to understand both random blood sugar (RBS) and estimated average glucose (eAG) expressed with the same units. This will enhance the usefulness of eAG. This article determines the statistical correlation between eAG derived from HBA1C with RBS values both in diabetic and prediabetic subjects. Methods The RBS and HbA1c levels of 178 males and 283 females (12–90 years) were obtained and the eAG levels were calculated using Nathan's regression equation. The samples were divided into four groups based on HbA1c levels—group 1: HbA1c greater than 9%, group 2: HbA1c 6.5 to 9%, group 3: HbA1c 5.7 to 6.4%; and group 4: HbA1c less than 5.7%. Results There was a statistically significant positive correlation between RBS and eAG values for the study group 1 and 2. Also, the median values of RBS and eAG showed a significant difference ( p < 0.001). Conclusion As the association between the RBS and eAG levels is strong in a fairly and poorly controlled diabetic population, reporting the eAG level together with the HbA1c level at no additional cost may assist in effective blood glucose control in clinical care. However, eAG and RBS values cannot be used interchangeably.","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"217-223"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/41/1e/10-1055-s-0042-1757719.PMC10264116.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9656253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Salivary IgA as a Surrogate Biomarker for Microbial Infections in Postoperative Patients Receiving Chemo-Radio-Therapy for Head and Neck Cancer.","authors":"Preeti Chavan, Vivek Bhat, Amit Joshi, Tejpal Gupta, Vedang Murthy, Vanita Noronha, Divya Rathish, Kumar Prabhash","doi":"10.1055/s-0042-1757720","DOIUrl":"https://doi.org/10.1055/s-0042-1757720","url":null,"abstract":"<p><p><b>Objective</b> Radiotherapy (RT) and chemotherapy (CT) are important treatment options in patients with head and neck cancers. A common complication of this is microbial colonization or infection of mucosal surfaces. These infections may commonly be due to bacteria or yeasts. Salivary proteins with their buffering activity and immunoglobulin, especially immunoglobulin A (IgA), protect oral tissue, mucosal surfaces, and teeth from various microorganisms. This study characterizes the common microorganisms encountered and evaluates the role of salivary IgA in predicting microbial infections in this group of patients with mucositis. <b>Methods</b> A total of 150 adult head and neck cancer patients on CTRT were evaluated at baseline and at the end of 3 and 6 weeks, respectively. Oral swabs collected from buccal mucosa were processed in the microbiology laboratory for the presence of microorganisms. Saliva was processed for IgA level estimation on Siemens Dimension Automated biochemistry analyzer. <b>Results</b> <i>Pseudomonas aeruginosa</i> and <i>Klebsiella pneumonia</i> e were the most common organisms found in our patients, followed by <i>Escherichia coli</i> and group A beta-hemolytic <i>Streptococci</i> . A significant increase ( <i>p</i> = 0.0203) in the incidence of bacterial infection was observed in post-CTRT patients (61%) compared to pre-CTRT patients (49.33%). There was significant increase in levels of salivary IgA ( <i>p</i> = 0.003) in patients with bacterial and fungal infection ( <i>n</i> = 135/267) when compared to those in samples showing no growth ( <i>n</i> = 66/183). <b>Conclusion</b> A significant increase in the incidence of bacterial infection in post-CTRT patients was observed in this study. This study also indicated that postoperative head and neck cancer patients with oral mucositis that developed an infection were associated with high salivary IgA levels, and it may serve as a surrogate biomarker of infection in these patients.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"264-268"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e2/7e/10-1055-s-0042-1757720.PMC10264106.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9659448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating Interference of Lipemia on Routine Clinical Biochemical Tests.","authors":"Subramaniam ArulVijayaVani, Palani Selvam Mohanraj, Rajagambeeram Reeta","doi":"10.1055/s-0042-1758664","DOIUrl":"https://doi.org/10.1055/s-0042-1758664","url":null,"abstract":"<p><p><b>Objective</b> Lipemia is an important cause of preanalytical errors in laboratory results. They affect the specimen integrity and trustworthiness of laboratory results. The present study was to assess the impact of lipemia on routine clinical chemistry analytes. <b>Methods</b> Anonymous leftover serum samples with normal levels of routine biochemical parameters were pooled. Twenty such pooled serum samples were used for the study. The samples were spiked with commercially available intralipid solution (20%) to produce lipemic concentrations of 0, 400 (mild, 20 μL), 1,000 (moderate, 50 μL), and 2,000 mg/dL (severe, 100 μL). Glucose, renal function test, electrolytes, and liver function test were estimated in all the samples. Baseline data without the effect of interference was considered as true value and percentage bias for the spiked samples was calculated. Interference was considered significant if the interference bias percentage exceeded 10%. <b>Result</b> Parameters like glucose, urea, creatinine, direct bilirubin, sodium, potassium, and chloride showed negative interference at mild and moderate lipemic concentration and positive interference at severe lipemic concentration. Parameters like aspartate transaminase (AST) and alanine transaminase (ALT) showed negative interference at mild and positive interference at moderate and severe lipemic concentration. Whereas uric acid, total protein, albumin, total bilirubin, alkaline phosphatase, gamma-glutamyl transferase, calcium, magnesium, and phosphorous showed positive interference at all concentrations. Significant interference (> 10%) was shown for magnesium (mild lipemia), albumin, direct bilirubin, ALT, and AST at moderate lipemic concentration. All parameters showed significant interference at severe lipemic concentration. <b>Conclusion</b> All the study parameters are affected by lipemic interference at varying levels. Laboratory-specific data regarding lipemic interference at various concentrations on the clinical biochemistry parameters is needed.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"269-275"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2e/cc/10-1055-s-0042-1758664.PMC10264112.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9653278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Amelanotic Melanoma: A Great Masquerader.","authors":"Md Ali Osama, Seema Rao, Neha Bakshi, Sonia Badwal, Shyam Aggarwal","doi":"10.1055/s-0042-1757236","DOIUrl":"https://doi.org/10.1055/s-0042-1757236","url":null,"abstract":"<p><p>Malignant melanoma is an aggressive, notorious tumor showing great variability in morphological and immunohistochemical expression, thus commonly leading to an erroneous diagnosis. Within the melanoma group, amelanotic melanoma, with its wide clinical presentations, lack of pigmentation, and varied histological appearances, has taken on a new persona as a master masquerader. Use of immunohistochemistry in the diagnosis of malignant tumors, including melanoma, is primordial and indispensable. However, the problem gets compounded in scenario of aberrant antigenic expression. The present case posed multiple diagnostic challenges in form of atypical clinical presentation, variant morphology, as well as aberrant antigenic expression. Here, we present the case of a 72-year-old male who, upon his initial presentation, was thought to be sarcomatoid anaplastic plasmacytoma, but 5 months later another biopsy from a different site revealed the actual diagnosis of amelanotic melanoma.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"300-305"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/cb/b1/10-1055-s-0042-1757236.PMC10264121.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9656255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Variable Virulence Genes in Clinical Isolates of <i>Burkholderia pseudomallei</i> : Impact on Disease Severity and Outcome in Melioidosis.","authors":"Sruthi Raj, Sujatha Sistla, Deepthy Melepurakkal Sadanandan, Sreeram Chandra Murthy Peela","doi":"10.1055/s-0042-1760667","DOIUrl":"https://doi.org/10.1055/s-0042-1760667","url":null,"abstract":"<p><p><b>Objectives</b> To isolate <i>Burkholderia pseudomallei</i> from clinical specimens and study the association of virulence genes with clinical manifestations and outcome in patients with melioidosis. <b>Materials and Methods</b> <i>Burkholderia</i> <i>pseudomallei</i> isolates obtained from melioidosis cases diagnosed during 2018 to 2021 were identified using VITEK 2 system and confirmed by polymerase chain reaction (PCR) targeting a Type III secretion system gene cluster. Multiplex PCR was performed to detect the genotypes of lipopolysaccharide (LPS) namely A, B, and B2, and singleplex PCR was performed to detect the presence of the <i>Burkholderia</i> intracellular motility gene ( <i>BimA</i> ) and filamentous hemagglutinin gene ( <i>fhaB3</i> ). <b>Statistical Analysis</b> Chi-square/Fisher's exact tests were performed to study the association between various clinical manifestations and outcome and different virulence genes. The results were expressed as unadjusted odds ratios with 95% confidence intervals. <b>Results</b> Sixty-seven isolates were available for characterization. <i>BimA <sub>Bm</sub></i> and <i>BimA <sub>Bp</sub></i> were observed among 82 and 18% of the isolates, respectively. Both sepsis and mortality were significantly associated with <i>BimA <sub>Bm</sub></i> . Majority of the isolates had <i>fhaB3</i> (97%). Most of the isolates showed the presence of LPS A gene (65.7%) followed by LPS B gene (6%), while LPS B2 was not detected. Nineteen isolates could not be assigned to any LPS genotypes. <b>Conclusion</b> Among the virulence genes studied, only <i>BimA <sub>Bm</sub></i> was significantly associated with sepsis and mortality. More than a quarter (28.3%) of the isolates could not be assigned to any LPS genotypes, hinting at a greater genetic diversity in our isolates.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"276-281"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8a/7d/10-1055-s-0042-1760667.PMC10264109.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9659443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anti-F-Actin Antibody Positivity on Indirect Immunofluorescence Assay Following Chinese and Alternative Medicine Therapy: A Case Report.","authors":"Mala Mahto, Neha Rai, Soma Dey, Ramesh Kumar","doi":"10.1055/s-0042-1758663","DOIUrl":"https://doi.org/10.1055/s-0042-1758663","url":null,"abstract":"<p><p>Immunofluorescence on human epithelial type 2 cells is the standard screening assay for the detection of antinuclear antibodies (ANA). Cytoplasmic speckled patterns are a common finding. However, the less commonly reported ones include the cytoplasmic fibrillar patterns on indirect immunofluorescence technique (IIFT). The cytoplasmic fibrillar patterns include the cytoplasmic linear (AC-15), cytoplasmic filamentous (AC-16), and cytoplasmic segmental (AC-17). We report a case of cytoplasmic linear (F-actin) detected through IIFT during ANA screening in a 77-year-old man and later reconfirmed on liver mosaic biochip through IIFT on vascular smooth muscle substrate (VSM-47) without features suggestive of anti-smooth muscle antibody involvement post-complementary and alternative medicine therapy initiation.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"311-315"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2b/72/10-1055-s-0042-1758663.PMC10264122.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9659449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anurag Singh, Shalini Rawat, Geeta Yadav, Rashmi Kushwaha, Shailendra Prasad Verma, Uma S Singh
{"title":"Study of Hemato-morphological Features in Neuroblastoma Infiltrating Marrow.","authors":"Anurag Singh, Shalini Rawat, Geeta Yadav, Rashmi Kushwaha, Shailendra Prasad Verma, Uma S Singh","doi":"10.1055/s-0042-1758667","DOIUrl":"https://doi.org/10.1055/s-0042-1758667","url":null,"abstract":"<p><p><b>Objective</b> Neuroblastoma typically affects children within the first 5 years of life and accounts for 10% of all pediatric malignancies. Neuroblastoma at onset may manifest as a localized or metastatic illness. The aim of this study was to identify hematomorphological features in neuroblastoma infiltrating marrow as well as to ascertain the prevalence of bone marrow infiltration in neuroblastoma. <b>Materials and Methods</b> This retrospective study included newly diagnosed 79 cases of neuroblastoma, which were referred for bone marrow examination for the staging of the disease. Medical records were retrieved to acquire hematomorphological findings of peripheral blood and bone marrow smears. Statistical Package for Social Sciences, IBM Inc., USA, version 21.0 was used to analyze the data. <b>Results</b> The interquartile age range of neuroblastoma cases was 24.0 to 72.0 months (median = 48 months) with a male to female ratio of 2.7:1. Also, 55.6% (44/79) of cases in the study population showed evidence of marrow infiltration. The bone marrow infiltration was significantly linked to thrombocytopenia ( <i>p</i> = 0.043) and nucleated red blood cells ( <i>p</i> = 0.003) in peripheral blood. The bone marrow smears of cases with infiltration showed a significant shift to the left in the myeloid series ( <i>p</i> = 0.001) and an increased number of erythroid cells ( <i>p</i> = 0.001). <b>Conclusion</b> For neuroblastoma patients, a diligent, exhaustive search for infiltrating cells in bone marrow is advised if thrombocytopenia or nucleated red blood cells are identified on a peripheral blood smear and bone marrow smears showed myeloid left shift with an increased number of erythroid cells.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"224-229"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/60/bc/10-1055-s-0042-1758667.PMC10264124.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9653277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sheetal Verma, Raj Kumar Kalyan, Prashant Gupta, Mohd Danish Khan, Vimala Venkatesh
{"title":"Molecular Characterization of Extended Spectrum β-Lactamase Producing <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> Isolates and Their Antibiotic Resistance Profile in Health Care-Associated Urinary Tract Infections in North India.","authors":"Sheetal Verma, Raj Kumar Kalyan, Prashant Gupta, Mohd Danish Khan, Vimala Venkatesh","doi":"10.1055/s-0042-1757416","DOIUrl":"https://doi.org/10.1055/s-0042-1757416","url":null,"abstract":"<p><p><b>Background</b> Healthcare-associated urinary tract infections (HAUTIs) caused by gram-negative pathogens have emerged as a global concern. So far, little is known about the epidemiology of extended-spectrum β lactamase (ESBL)-producing <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> in HAUTIs in India. The study was carried to determine the antibiotic resistance pattern and ESBL-producing genes in <i>E. coli</i> and <i>K. pneumoniae</i> strains isolated from HAUTIs in a tertiary institute in North India. <b>Methods</b> A total of 200 consecutive, nonduplicate clinical isolates of <i>E. coli</i> and 140 isolates of <i>K. pneumoniae</i> from hospitalized patients with UTI were collected during a period of 1 year. Strains were studied for the presence of ESBL genes (blaCTX-M1, blaCTX-M2, blaCTX-M9, blaCTX-M15, blaSHV, blaTEM, blaOXA-1, blaVEB, blaPER-2, and blaGES) by multiplex polymerase chain reaction using gene-specific primers. <b>Results</b> ESBL was detected in 82.5% (165 out of 200) isolates of <i>E. coli</i> and 74.3% (104 out of 140) isolates of <i>K. pneumoniae</i> by phenotypic confirmatory testing. From 269 phenotypically positive ESBL isolates, blaTEM (49.4%) was the most common genotype followed by blaCTX-M1 (31.97%), blaOXA-1 (30.1%), and blaSHV(11.9%) either alone or in combination. In the present study, blaCTX-M-15 (84.89%) was the most common blaCTX-M1-type ESBL. In total, 2.6 and 5.2% of the isolates were positive for <i>PER-2</i> and <i>VEB</i> genes, respectively. <b>Conclusion</b> To the best of our knowledge, this is the first study on ESBL resistance patterns and ESBL-producing genes in HAUTIs in North India. Our study reports high occurrence with ESBL types CTX-M-1, CTX-M-15, TEM, and SHV. Minor ESBL variants OXA-1, VEB-type, and PER-2-type β-lactamase are also emerging in HAUTIs infections in North India.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"194-201"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/18/ac/10-1055-s-0042-1757416.PMC10264127.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9647089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparative Review of ICMR, WHO, and EMA Guidelines for Good Clinical Laboratory Practices.","authors":"Rajat Kumar Joshi, Sudhir Chandra Sarangi, Sarita Mohapatra, Saumyaranjan Mallick, Sudip Kumar Datta","doi":"10.1055/s-0042-1757237","DOIUrl":"https://doi.org/10.1055/s-0042-1757237","url":null,"abstract":"<p><p>With the advancement of clinical research and the increased burden on laboratory services, there is an unmet need for guidelines regarding proper laboratory functioning and reliable data generation. Several organizations from all over the world have published guidelines for these clinical and research laboratories. Good Clinical Laboratory Practices (GCLP) are stepwise procedures aimed at strengthening the quality of test results produced by all clinical laboratories engaged in human sample analysis. In this article, we attempt a comparison of the GCLP guidelines recently issued by the Indian Council of Medical Research with the guidelines released by the World Health Organization and the European Medicines Agency. Also, we have included and discussed several suggestions that, if included, will lead to the strengthening of the laboratory practices used for both research and patient care for overall improvement in the Indian healthcare system.</p>","PeriodicalId":16149,"journal":{"name":"Journal of Laboratory Physicians","volume":"15 2","pages":"179-186"},"PeriodicalIF":1.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/37/3a/10-1055-s-0042-1757237.PMC10264107.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9653282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}