Hospital In India Research Articles

Surveying the landscape: First Nations, Métis, and Inuit cancer resources in radiation therapy

Introduction/BackgroundAlberta Health Services (AHS) is Canada's largest provincial integrated health care authority. AHS services over four million people with over 100,000 employees. In 2018, AHS introduced Indigenous training modules which were mandatory for all staff. These eight modules included topics detailing residential schools, Indian hospitals, The Indian Act, The 60′s Scoop, Alberta's Indigenous populations, present day realities, including customs, practices and traditional medicines. Limited research exists in general in the field of radiation therapy with Canadian Indigenous populations. No formal research exists on the effectiveness of these AHS training modules. MethodsA mixed methods survey was developed and distributed by the radiation therapy managers to practicing radiation therapists in the four cancer centers in Alberta. The survey contained both drop down and open text boxes. ResultsSurvey respondents indicated that 90 % of radiation therapists completed the AHS Indigeneous training modules. However, 50 % of the respondents did not know what resources are available for their Indigenous patients. Furthermore, only 67 % felt that the information provided in the modules created enough comfort for them to have a conversation with Indigenous patients with cancer and their families. DiscussionRespondents indicated that although they felt knowledgeable and educated from the training modules, this did not necessarily translate into daily clinical practice. This included a lack of confidence to lead a conversation, knowing what resources are available and how to document if patient education material was given. ConclusionCreation of an Indigenous specific oncology module highlighting both resource availability and cultural customs that may be part of a person's cancer journey, may be of benefit to health care providers providing radiation treatment. Having Elders and Knowledge Keepers be part of the development of an oncology module may help create mutual understanding for both the cancer patient and their families and health care providers. This research suggests that the current cultural competency training for radiation therapists at AHS may not be enough for radiation therapists to feel comfortable with translating learnings from Indigenous online modules into their practice.

Psychometric Analysis of the Indian Version of the Patient Safety Culture Tool (I-HSOPSC 2.0) Validation

Patient safety, which is both an overarching principle and a key factor in determining the quality of healthcare, continues to be a priority in healthcare systems on a global scale. A cross-sectional study in accredited Indian hospitals aimed to evaluate the HSOPSC V-2 (Hospital Survey on Patient Safety Culture). 1,603 healthcare professionals participated, assessing psychometric features using confirmatory factor analysis in SMART PLS 4. The average composite positive response rate was 64.8%. High positive responses (79%) were seen in ‘teamwork’, ‘communication about error’, and ‘hospital management support for patient safety’. However, ‘staffing and work pace’ (30%), ‘response to error’ (50%), ‘communication openness’, and ‘reporting patient safety events’ (both 59%) had lower positive responses, indicating room for improvement. Findings suggest I-HOSPSC 2.0’s content validity, reliability, and construct validity in measuring patient safety culture in Indian hospitals. It can aid administrators in assessing safety culture and improving patient safety and treatment efficacy. Notably, this is the inaugural HSOPSC V-2 validation research in the Indian healthcare context. Future research should explore the tool’s psychometric properties based on care setting levels due to substantial differences between public and private healthcare setups in India.

Genotypic characterization of hypervirulent Klebsiella pneumoniae (hvKp) in a tertiary care Indian hospital.

HypervirulentKlebsiella pneumoniae(hvKp) is an emerging pathogen and causes endophthalmitis, liver abscess, osteomyelitis, meningitis, and necrotizing soft tissue infections in both immunodeficient and healthy people. The acquisition of the antibiotic resistance genes of hvKp has become an emerging concern throughout the globe. In this study, a total of 74K. pneumoniaeisolates were collected and identified by VITEK2 andblaSHVgene amplification. Out of these, 18.91% (14/74) isolates were identified as hvKp by both phenotypic string test and genotypiciucAPCR amplification. The antibiotic susceptibility revealed that 57.14% (8/14) isolates were multidrug-resistant (MDR) and 35.71% (5/14) isolates were extremely drug-resistant (XDR). All the isolates were resistant to β-lactam, β-lactamase + inhibitor groups of antibiotics, and the least resistance to colistin. Of 14 hvKp isolates, all isolates are positive for iroB(100%),followed byiutA(92.85%),peg344(85.71%), rmpA (57.14%), and magA(21.42%) genes. Among serotypes, K1 was the most prevalent serotype 21.4% (3/14), followed by K5 14.3% (2/14). The most common carbapenemase gene was blaOXA-48 (78.57%) followed by blaNDM (14.28%) and blaKPC (14.28%) which co-carried multiple resistance genes such as blaSHV (100%), blaCTX-M (92.85%), and blaTEM (78.57%). About 92.85% (13/14) of hvKp isolates were strong biofilm producers, while one isolate (hvKp 10) was the only moderate biofilm producer. The (GTG)5-PCR molecular typing method revealed high diversity among the hvKp isolates in the tertiary care hospital. Our findings suggest that MDR-hvKp is an emerging pathogen and a challenge for clinical practice. In order to avoid hvKp strain outbreaks in hospital settings, robust infection control and effective surveillance should be implemented.

Blood lead levels in pregnant women and their newborn infants at an Indian teaching hospital.

With the growth of the world's economy and industrialization, lead (Pb) contamination in the environment has become a major issue on a global scale. Lead is typically linked to unfavorable pregnancy outcomes such as stillbirth, low birth weight preterm, and spontaneous abortion. In this study, we evaluated the blood lead levels of pregnant women and their birth outcomes attending an Indian tertiary care teaching hospital, those who were not exposed to any lead-associated industry or shops. A descriptive study was undertaken to evaluate blood lead estimation in pregnant women and umbilical blood lead levels in a community hospital. Blood samples from 104 mothers during the 1st trimester, 90 mothers during 3rd trimester, and from the umbilical cord were collected. Self-administered questionnaires were used to collect information on demographics, medical history, and concerns linked to pregnancy. Following acid digestion, the levels of lead in whole blood were determined by an atomic absorption spectrometer. The DNA damage in high blood lead-concentrated pregnant women was evaluated by comet assay methods. Among 194 blood samples of pregnant women, 31 (15.98%) samples revealed ≥5 μg/dL blood lead levels. High lead concentration (≥5 µg/dL) in 1st trimester pregnant women, end of 3rd trimester and cord blood were detected 20.19%, 11.11% and 1.11% respectively. The mean blood lead levels in 1st trimester, 3rd trimester, and cord blood were 3.88 ± 3.19, 2.66 ± 1.82, and 1.53 ± 1.06 mg/dL, respectively. The blood lead concentrations were significantly higher in the 1st trimester of pregnancy than in the 3rd trimester of pregnancy (P < 0.0017). A positive correlation between maternal and infant blood lead levels was revealed (P < 0.0001). When the comet assay was used to assess the genotoxic consequences of elevated blood lead levels during pregnancy, higher amounts of DNA damage were found in the samples (P < 0.01). In this descriptive study, there was a significant amount of lead transferred from mother to baby through the placenta. All mothers were not exposed to lead-associated industry and most were housewives. This article may be viewed as an eye-opener for understanding the blood lead concentration during pregnancy to avoid abnormal birth outcomes. To minimize exposure to environmental lead, all possible measures should be undertaken.

Epidemiology of a Hospital-Based Pediatric Cancer Registry - An Experience at a Major Tertiary Care Center in Pakistan

Background: Cancer is a prominent non-communicable disease, responsible for more than 8 million deaths each year worldwide. Globally, 400,000 children and daily 1000 children are diagnosed with cancer. Objective: The current study aims to analyze retrospective childhood cancer registry data from IHHN since 2016 and provide the Age Standardized Incidence Rates (ASIR) for children having different types of malignancies. Method: A retrospective study was conducted through a chart review of the childhood cancer registry, data retrieved from the Indus Paediatric Oncology Database (IPOD) software. Only patients with behavior code/3 for positive malignancy, as defined in the International Classification of Disease for Oncology, 3rd edition (ICD-O-3) were included in the dataset. Results: A total of 4631 children diagnosed with cancer were enrolled, with 2951 (63.7%) males and 1680 (36.3%) females. Overall median age and Interquartile range were 7(3.3-11) years. Leukemia was the predominant cancer in both genders, the second highest being lymphoma. Central Nervous System (CNS) tumors were the third highest cancer in males and soft tissue sarcomas in females. Hepatic tumors are the least common among genders. Conclusion: In conclusion, the childhood cancer registry at the Indus Hospital and Health Network (IHHN) reported standard quality data including patients mostly from Sindh and Baluchistan along with other provinces and neighboring countries. Moreover, at the national level, there is an essential need for the formulation of an effective childhood cancer registration system by policymakers to determine the true incidence rate and etiology of common cancers.

Clinical Characteristics and Cytogenetics of Childhood Acute Lymphoblastic Leukemia in a Single Center in Pakistan.

Objectives. This study aimed to find the association between clinical characteristics, cytogenetics, and post-induction outcomes of childhood acute lymphoblastic leukemia. Methods. The study was conducted at the Indus Hospital in Karachi. Initial total leukocyte count (TLC), cytogenetics, CNS status, and post-induction remission status were recorded. Results. Out of 108 children diagnosed with ALL, 66 (61.1%) were male and 42 (38.9%) were female. The majority 90 (83.3%) had B-ALL. CNS1 status was observed in 76 (84.4%) B-ALL and 18 (88.9%) T-ALL. All T-ALL and 89 (98.8%) B-ALL achieved remission post-induction. In B-ALL, 50 (55.5%) had a normal diploid karyotype, and 22 (24.4%) had numerical abnormalities. No typical gene rearrangement was observed in 66 (73.3%), 11 (12.2%) had BCR::ABL1, 10 (11.1%) had ETV6::RUNX1 and 3 (3.3%) KMT2A on FISH. No significant difference was observed between cytogenetics and clinical characteristics (P > .05). Conclusion. The study provides valuable data on childhood acute lymphoblastic leukemia in the Pakistani population.

Correlation of Serum Prostate Specific Antigen and Gleason Grade with Bone Metastases in Patients with Prostate Cancer; An Experience at a Tertiary Care Hospital

Background: Prostate cancer (PCa) is the second most frequent cancer in the world and its incidence in Asian countries is on the rise. A lot of research work has been done in the Western world for the better understanding and treatment of the disease but the Western data may not be relevant to the data from Asian countries. Objective: To find out the association of serum prostate-specific antigen level and Gleason grade to the incidence of positive bone scan disease in our prostate cancer patient population. Methods: A four-year retrospective study that comprised 32 Prostate cancer (PCa) patients who were seen at The Indus Hospital and Health Network (IHHN) from October 2017 to December 2021. Recorded data were serum PSA value, histopathological examination of prostate tissue, and bone scan results. Histopathological examination of PCa was confirmed on biopsy with well-documented Gleason grade groups and scores. Results: Thirty-two patients with prostate cancer with a median age of 72.5 years (68-76.7), median PSA was 74 (12.4-100) ng/mL, and median GS was 9 (7-9) were included. Patients were segregated into four groups following their serum PSA levels ranging from ≤10 ng/ml (n=7; 21.8%), &gt;10-≤20 ng/ml (n=4; 12.5%), &gt; 20-≤100 ng/ml (n=14; 43.7%) and &gt;100 ng/ml (n=7; 21.8%). Levels of PSA showed a significant association with BM (p=0.002). Similarly, in cancers with low Gleason grade, no bone metastasis was found (p=0.02). Conclusion: Raised PSA and high Gleason grade are associated with increased occurrence of bone metastasis in patients with carcinoma of the prostate and can be used as predictors of disease severity and progression.

Application of center for disease control and prevention standardized antimicrobial administration ratio to an Indian hospital.

Rigorous antibiotic stewardship is advised by international societies to combat rising antibiotic resistance. A major component of these programs is the metric used for antibiotic consumption measurement. A method for standardized antimicrobial administration ratio (SAAR) is suggested by the Centre for Disease Control & Prevention-National Healthcare Safety Network (NHSN). We applied the SAAR method to calculate antibiotic consumption in a tertiary care hospital in India. We also validated a limited sampling approach to calculate SAAR. The prospective study was conducted in three medical intensive care units over a period of 12 months. Monthly antibiotic consumption was measured by the hospital electronic records. Limited sampling was performed by weekly bedside review of the antibiotic orders. Formulae for SAAR calculation were derived from the NHSN guide. SAAR obtained by electronic records and limited sampling were compared to validate this approach. SAAR was calculated as >1 for an Indian hospital (1.49 by electronic records and 1.43 by limited sampling approach). The difference between the two ratios was not statistically significant (P = .47). SAAR in our setting is 1.49, which is slightly higher than the NHSN benchmark. Antibiotic usage (AU) risk adjustment based on data from the NHSN might not be adequate for calculating SAAR for Indian hospitals. There is a need to perform AU risk factor analysis for Indian settings for better defining SAAR in Indian context. The limited sampling approach can be adapted for calculation of SAAR in settings with limited resources.

Mapping changes in the utilization of childhood immunization over 5 years in a south Indian tertiary care hospital

Background: Altered vaccine demands and uneven utilization patterns in childhood immunization are evident nationwide. These variabilities may stem from a range of internal and external factors influencing parental preferences. Regular checks and balances are necessary to ensure equal accessibility for all sections of society. Aim: To assess the usage trends of childhood vaccines for 5 years (2018–2022) and to monitor instances of delayed/incomplete immunization status within the community. Methodology: This study recorded the utilization trends of all recommended childhood vaccines over a 5-year period using an ambispective design. The immunization details from 3 years (2018, 2019 and 2020) were retrieved retrospectively, while those from 2 years (2021–2022) were collected prospectively through the immunization registry. Trends in childhood vaccine utilization were recorded across different years, and delays and incomplete vaccine utilization among children, along with factors resulting in deviated immunization timelines, were analysed and compared. The association of factors with deviated immunization utilization was determined using the chi-square test, and a two-way ANOVA analysed utilization variabilities over 5 years. Result: Overall, the study profiled 32,085 children’s (who utilized 87,782 vaccine doses) vaccine utilization pattern for 5 years. Optional vaccines were less utilized (18.12% doses by 25.14% children) compared to mandatory vaccines (81.88% doses utilized by 74.86%). The most utilized mandatory vaccine was oral polio (17.48%) and for optional vaccines, it was measles mumps rubella (MMR; 28.31%). Boys had the highest utilization (55.97%) with a significant male preponderance in optional vaccine utilization ( p value &lt;0.05). Overall, there was a 26.12% decline (percent change) in vaccine utilization in 2022 compared to 2018. Among children with delayed immunization timelines (6.02%), 3.38% were on catch-up, and 2.45% were not. The most commonly delayed vaccines were diphtheria + tetanus + pertussis boosters (30.90%), Tdap (26.19%) and MMR vaccines (20.65%). Influenza vaccines (28.08%) were the most partially utilized optional vaccine, followed by varicella vaccines (20.92%). Factors such as gender (female), age over 1 year, rural residence and low- to middle-income families were significant predictors of deviated immunization status in children. Conclusion: The study mapped the utilization trends of immunizations at a tertiary care hospital in south India over the past 5 years, including the COVID-19 years. Gender inequality in the utilization of optional vaccines is a concern that warrants further research and redressal. Timely administration of childhood vaccinations is crucial for reducing susceptibility to vaccine-preventable diseases and promoting overall well-being.

Analysis of Cesarean section rates using Robson’s ten-group classification system in comparison with the MCS population reference

Abstract Background: The escalating global prevalence of Cesarean section (CS) deliveries raises concerns. To address this, the World Health Organization (WHO) suggests employing Robson’s ten-group classification system (RTGCS) for assessing and comparing CS rates among obstetric units. The aim of our study was to assess our hospital’s CS rate per group and juxtapose it with WHO Multi-Country Survey (MCS) population reference data. Furthermore, we delve into prevalent obstetric Indications for CS and examine potential strategies for mitigating the high CS rate. Materials and Methods: This observational cross-sectional study occurred at an Indian tertiary care teaching hospital from October 2018 to May 2020. Women delivering during this period were classified based on RTGCS, and Cesarean rates were computed across various groups. These rates were then compared with the WHO’s MCS population reference guidelines. Additionally, we investigated obstetric Indications for CS within these groups. Results: Of 2994 deliveries during the study period, 42.55% were CS. Notably, group 5 (29.75%) and group 1 (21.74%) had the highest CS rates. The CS rate of nulliparous women was 40.9%. Primary CS groups frequently cited fetal distress as the reason, while group 5 showed repeat CS due to previous CS with obstetric complications, on-demand CS, and scar integrity concerns. Conclusion: Despite our hospital’s overall high CS rate, group-specific contributions align with existing research. High-risk pregnancies, previous CS cases, and preterm CS for neonatal care notably contribute. Efforts should target in reducing CS in low-risk groups.

Prevalence and Predictors of Adverse Events Associated With Dipeptidyl Peptidase-4 (DPP-4) Inhibitors in Type 2 Diabetic Patients: A Cross-sectional Study.

Dipeptidyl peptidase-4 (DPP-4) inhibitors are oral hypoglycemic agents widely prescribed in India despite safety concerns. However, studies focused on their safety profile are scarce, especially in South India. To evaluate the prevalence and predictors of adverse events (AEs) with DPP-4 inhibitors in patients with type 2 diabetes mellitus (T2DM). This retrospective cross-sectional study analyzed data from medical records of T2DM patients prescribed DPP-4 inhibitors admitted to the medicine department from 2019 to 2021 at a South Indian tertiary care hospital. The causality of AEs was assessed using the WHO-Uppsala Monitoring Centre (WHO-UMC) criteria and the Naranjo scale, and severity using the Modified Hartwig and Seigel scale. We applied a Generalized model with a binary response and logit-link function to understand the factors that best explain the AE. The best-fit models were chosen based on least Akaike's information criterion and highest PseudoR 2 and presented the odds ratio (OR) with a 95% confidence interval. The analyses were performed in R software version 4.2.1. Among the 796 patients included in the study, 26% experienced AEs. A total of 212 AEs were observed, and Saxagliptin-associated AEs were the most prevalent (66.6%). Hepatic AEs were predominant (37.7%), followed by gastrointestinal events (16.5%) and electrolyte imbalances (12.3%). Most AEs were possible based on WHO-UMC criteria (78.7%) and the Naranjo scale (86.7%), with 58% being of moderate severity and 42% mild. In the multivariate analysis, aspartate transaminase [OR: 1.013 (0.006-1.020)], alkaline phosphatase [OR: 1.004 (1.001-1.007)] and patients already on DPP-4 inhibitors [OR 1.191(1.012-1.366)] were significant predictors for AEs with DPP-4 inhibitors. The study highlighted a high prevalence of AEs with DPP-4 inhibitors and identified significant predictors of these AEs. These findings underscore the necessity of vigilant monitoring and risk assessment while prescribing DPP-4 inhibitors to the Indian population.

Assessment framework of digital transformation barriers level - a case study of Indian hospital

Assessment framework of digital transformation barriers level - a case study of Indian hospital

Assessment framework of digital transformation barriers level a case study of Indian hospital

Assessment framework of digital transformation barriers level a case study of Indian hospital

Frequency of cryptococcal antigenemia in hiv treatment naïve patients with CD4 count below 200/ml

Background: Cryptococcosis is a dangerous opportunistic fungal infection that poses a significant threat to individuals with advanced HIV/AIDS and compromised cellular immunity. The objective was to determine the frequency of asymptomatic cryptococcal antigenemia in treatment naïve HIV patients. Material and Methods: This cross-sectional study was conducted at The Indus Hospital and Health Network, Karachi from July to December 2022. We included all consecutive HIV patients of age &gt; 18 years, either gender, who were treatment naïve, with CD4 counts ≤200/μL, and did not have any symptoms of cryptococcal infection. Cryptococcal antigen (CrAg) was tested in blood based on the Direct Agglutination test. Results: A total of 100 HIV patients were enrolled. The mean age was 35.12 ± 10.93 years. The majority (78%) of the subjects were males, and 2/3rd were sexually active; exposure to birds was identified in 31% of patients. Most of the patients enrolled belonged to WHO HIV stage 1 (61%), followed by stage 4 (30%). The median CD4 count was 103.5 (IQR: 56.5 – 126.5) /μL. 48 patients had CD4 count between 101 to 200/μL, while 51 patients had CD4 count ≤100/μL. Only 2 patients were found to have CrAg positive making an overall prevalence of 2%. Both patients had a CD4 count ≤ 100/μL (n = 2/51, 3.9%). 30% of patients had other opportunistic co-infections (n = 30). Conclusion: The prevalence of asymptomatic cryptococcosis in the treatment naïve HIV is low in the Pakistani population. A routine CrAg screening can be individualized and avoided in selected patients with CD4 count &gt;100/μL in a resource-limited country like Pakistan. Keywords: AIDS, HIV stages, Asymptomatic, Opportunistic infection.

Secondary Erythrocytosis, a Predominant Cause of Polycythemia- Clinical and Laboratory Evaluation of Polycythemia in a Tertiary Care Center

Aims: Polycythemia refers to an increased production of red blood cells from bone marrow. It is one of the frequent reasons for a hematology consultation. The present work aimed to examine the causes, clinical manifestations, prevalence, and diverse patterns in laboratory and clinical parameters among patients with polycythemia attending our outpatient clinics at the Indus Hospital and Health Network.&#x0D; Study Design: The present work is retrospective observational study which included all cases of polycythemia.&#x0D; Place and Duration of the Study: The study was conducted at a tertiary health care center in Karachi, Pakistan during October 2019 to July 2021.&#x0D; Methodology: The data from the patient diagnosed with polycythemia was entered and analyzed by using SPSS version 24.0. Descriptive statistics as per the Gaussian Normality distribution (Sapiro-Wilk) were computed along with frequencies. The association where applicable was calculated via standard statistical methods with the chi square test for categorical while independent sample t-test for the continuous variables. The level of statistical significance will be set at P &lt; 0.05.&#x0D; Results: During the investigated period, a total of 33 patients were diagnosed with polycythemia demonstrating a notable male predominance (82%). The majority of the patients exhibited secondary erythrocytosis (85%) with only a minority (15%) diagnosed with polycythemia vera. Of the identified cases of secondary erythrocytosis a significant proportion (46%) was observed in individuals who were smokers while other were found with hypoxic pulmonary disease, hepatitis, and chronic kidney disease. In secondary erythrocytosis 21 patients (75%) required venesection for symptom reduction, while 7 (25%) were closely monitored due to their asymptomatic status. On the contrary all cases of polycythemia vera required a comprehensive treatment approach including venesections, cytoreduction with hydroxyurea and low dose aspirin.

Evolutionary trends of carbapenem-resistant and susceptible Acinetobacter baumannii isolates in a major tertiary care setting from North India

Emergence of carbapenem-resistant A. baumannii (CRAB) is a global, ongoing healthcare concern. CRAB is among the topmost priority pathogens, with various studies focusing on its global population structure and resistant allelic profiles. However, carbapenem-susceptible A. baumannii (CSAB) isolates are often overlooked due to their sensitivity to beta-lactams, which can provide important insights into origin of CRAB lineages and isolates. In the present study, we report genomic investigation of CRAB and CSAB coexisting in Indian hospital setting. MLST based population structure and phylogenomics suggest they mainly follow distinct evolutionary routes forming two phylogroups. PG-I exclusively for a successful clone (ST2) of CRAB and PG-II comprises diversified CSAB isolates except PG3373, which is CRAB. Additionally, there are few CRAB isolates not belonging to PG-I and sharing clonal relationship with CSAB isolates indicating role of genome plasticity towards extensive drug resistance in the nosocomial environment. Further, genealogical analysis depicts prominent role of recombination in emergence and evolution of a major CRAB lineage. Further, CRAB isolates are enriched in resistomes as compared to CSAB isolates, which were encoded on the genomic island. Such comparative genomic insights will aid in our understanding and localized management of rapidly evolving pandrug resistant nosocomial pathogens.

Exploring blockchain implementation challenges in the context of healthcare supply chain (HCSC)

Blockchain technology enables supply chains to share and distribute data in secured and decentralised environments through validators who trust and validate transactions. The use of blockchain was crucial in the context of the healthcare supply chain (HCSC) during COVID-19, where transactions were secure, and links throughout the supply chain were physically disrupted. Current research has focused on the blockchain application in industry, reviewing its architecture and the mechanisms involved. However, limited empirical studies consider HCSCs and the associated implementation challenges. In this sense, our case study of Indian hospitals has engaged with various stakeholders of the HCSC including clinicians, nurses, doctors, hospital managers, and digital healthcare equipment companies to explore the context to answer the following research questions: (i) What is the impact of the blockchain technology in the HCSC context? and (ii) What are the challenges faced in utilising blockchain technologies in the HCSC? Our findings indicate that the challenges blockchain implementation faced were based on variations in patients’ treatment needs, data storage and privacy, interoperability, digital transformation, technology resistance, training and skills development, resource restraints and capabilities, and supply chain-wide collaboration. The study emphasises challenges for Blockchain in HCSC setting that both practitioners and academics need to be cognisant of.

Comparing the performance of a deep learning-based lung gross tumour volume segmentation algorithm before and after transfer learning in a new hospital.

Radiation therapy for lung cancer requires a gross tumour volume (GTV) to be carefully outlined by a skilled radiation oncologist (RO) to accurately pinpoint high radiation dose to a malignant mass while simultaneously minimizing radiation damage to adjacent normal tissues. This is manually intensive and tedious however, it is feasible to train a deep learning (DL) neural network that could assist ROs to delineate the GTV. However, DL trained on large openly accessible data sets might not perform well when applied to a superficially similar task but in a different clinical setting. In this work, we tested the performance of DL automatic lung GTV segmentation model trained on open-access Dutch data when used on Indian patients from a large public tertiary hospital, and hypothesized that generic DL performance could be improved for a specific local clinical context, by means of modest transfer-learning on a small representative local subset. X-ray computed tomography (CT) series in a public data set called "NSCLC-Radiomics" from The Cancer Imaging Archive was first used to train a DL-based lung GTV segmentation model (Model 1). Its performance was assessed using a different open access data set (Interobserver1) of Dutch subjects plus a private Indian data set from a local tertiary hospital (Test Set 2). Another Indian data set (Retrain Set 1) was used to fine-tune the former DL model using a transfer learning method. The Indian data sets were taken from CT of a hybrid scanner based in nuclear medicine, but the GTV was drawn by skilled Indian ROs. The final (after fine-tuning) model (Model 2) was then re-evaluated in "Interobserver1" and "Test Set 2." Dice similarity coefficient (DSC), precision, and recall were used as geometric segmentation performance metrics. Model 1 trained exclusively on Dutch scans showed a significant fall in performance when tested on "Test Set 2." However, the DSC of Model 2 recovered by 14 percentage points when evaluated in the same test set. Precision and recall showed a similar rebound of performance after transfer learning, in spite of using a comparatively small sample size. The performance of both models, before and after the fine-tuning, did not significantly change the segmentation performance in "Interobserver1." A large public open-access data set was used to train a generic DL model for lung GTV segmentation, but this did not perform well initially in the Indian clinical context. Using transfer learning methods, it was feasible to efficiently and easily fine-tune the generic model using only a small number of local examples from the Indian hospital. This led to a recovery of some of the geometric segmentation performance, but the tuning did not appear to affect the performance of the model in another open-access data set. Caution is needed when using models trained on large volumes of international data in a local clinical setting, even when that training data set is of good quality. Minor differences in scan acquisition and clinician delineation preferences may result in an apparent drop in performance. However, DL models have the advantage of being efficiently "adapted" from a generic to a locally specific context, with only a small amount of fine-tuning by means of transfer learning on a small local institutional data set.

Diabetes and its associated factors: A Retrospective cohort analysis of a large database at Indus Hospital Health Network.

This is a retrospective cohort analysis of diabetes and its associated factors from Electronic Medical Record (EMR) of 2020-2022 of Indus Hospital Health Network (IHHN), Korangi campus Karachi. Retrospective cohort study was conducted at Indus Hospital & Health Network (IHHN), Korangi Karachi. Out-patient records of adult patients of 2020-2022 were extracted from EMR of IHHN in March 2023. Descriptive statistics were presented as median (IQR) and frequency and percentage. Chi-square test determined association of risk-factors with diabetes and Wilcoxon-sign-rank test compared change in HbA1C from baseline. Data of 460,799 adult patients were extracted and analyzed. Median age of patients was 38.71 (27.87-52) years. Female preponderance was observed in our study. Out of 460,799, HbA1C was seen in 42,638 (9.25%) patients. Among these 29,596 (69.4%) had a HbA1C ≥ 6.5% while 13,042 (30.6%) had a HbA1C in the pre-diabetes range. Significant association was found between age, baseline creatinine, LDL and diabetes with no association depicted between gender, BMI, blood pressure, triglycerides, HDL and diabetes status. Patients in general had higher HbA1C at baseline as compared to last visit (p-value<0.001). High blood pressure, obesity, increased creatinine, micro albuminurea, high LDL and Triglycerides were important risk factors for diabetes. This study reports a snap shot of the status of diabetes and associated risk-factors in the Pakistani population. This was the first time that a large data was extracted and analyzed from a healthcare institution in Pakistan, which would guide physicians and public health practitioners to take evidence-based decisions for prevention and management of diabetes.

Concordance and discordance of GeneXpert MTB/RIF and conventional culture method for diagnosis of Extra-Pulmonary Tuberculosis at a tertiary care hospital in Pakistan.

To identify concordance and discordance between GeneXpert MTB/RIF assay and gold standard bacteriologic culture for the diagnosis of Mycobacterium tuberculosis (MTB) in Extra-Pulmonary tuberculosis (EPTB) specimens in our region. This is a retrospective cross-sectional study conducted at the Indus Hospital and Health Network. Data from 1st January, 2020 to 31st December, 2021 was analyzed. A total of 1499 EPTB specimens were included for which GeneXpert was requested along with acid-fast bacteria (AFB) culture from the same specimen. Specimens were processed according to specimen type following standard operating procedures of the laboratory. Fluorescent staining was performed on all specimens along with bacteriologic culture. The GeneXpert MTB/RIF assay was carried out in exact accordance with the manufacturer's instructions. Out of 1499 EPTB specimens, 1370 (91.39%) specimens exhibited concordance between GeneXpert and conventional culture method, while 129 (8.60%) specimens showed discordance. GeneXpert exhibited sensitivity and specificity of 69.4% and 94.3% respectively in comparison to culture. GeneXpert sensitivity for the diagnosis of EPTB varied with the site involved. Lower sensitivity was observed in ascitic and pleural fluids as compared to higher sensitivity observed among urine samples and pus aspirates. However, given the quick turnaround time and ease of use, it is a helpful tool in the diagnosis of EPTB when utilized in the appropriate clinical context. Caution is advised while interpreting negative GeneXpert results in endemic settings and should be interpreted along with other supporting clinical and diagnostic features.