Use of histamine-2 receptor antagonists and risk of inflammatory bowel diseases: A systematic review and meta-analysis of observational studies.

WHAT IS KNOWN AND OBJECTIVE: The effect of histamine-2 receptor antagonists (H2RAs) use causing inflammatory bowel diseases (IBD) has been reported in few isolated observational studies; however, pooled estimation of IBD risk has not been done. The present study was conducted to estimate the risk of IBD [Crohn's disease (CD), ulcerative colitis (UC) and microscopic colitis (MC)], among H2RAs users. METHODS: Databases such as MEDLINE/PubMed, Scopus and Cochrane Library were searched from inception to January 2021. A bibliographic search of selected articles, random search in Google Scholar and ResearchGate were also performed for any additional studies. The observational studies which assessed the incidence or risk of IBD in H2RA users published in the English language were considered. Modified Downs and Black Checklist was used for quality assessment. Two independent reviewers were involved in study selection, data extraction and quality assessment; any discrepancies were settled through consensus or by consulting a third reviewer. RESULTS: Four studies out of 2,658 articles were included for this meta-analysis. The meta-analysis of 4 studies with 8939 participants revealed a significantly higher risk of IBD (OR: 2.27; 95% CI: 1.70-3.02; p < 0.0001) in H2RA users compared to non-users. Similar significant relationships were observed in the subgroup analysis of adults (p < 0.0001) and paediatrics (p = 0.04). The quality of included studies was observed to be fair to good. WHAT IS NEW AND CONCLUSION: Our findings indicate a significantly higher IBD risk among those who used H2RA compared to non-users both in adults and in paediatrics. Further observational studies involving large populations are required to strengthen these results and to generalize these findings.

A Global Overview of Poison Treatment Apps and Databases.

Acute poisoning is a serious health problem that is associated with high mortality. Management of acute poisoning cases in the critical care settings is the biggest challenge due to the difficulty in identification of poison involved. Immediate information about the poisoning and its management is crucial in the early diagnosis, treatment, and in the prevention of poisoning complications. Poison information resources, such as various poison apps and databases, are essential for the retrieval of updated and quick information on poisoning. Through provision of information to the public and to health care professionals, apps and databases play a significant role in the management of poisoning cases.

Comparison of Various Severity Assessment Scoring Systems in Patients with Sepsis in a Tertiary Care Teaching Hospital.

BACKGROUND: Sepsis is a complex condition defined by the systemic response to infection. Severity assessment scoring systems are used to aid the physician in deciding whether aggressive treatment is needed or not. In this study, various severity assessment scoring systems, namely Acute Physiology and Chronic Health Evaluation II (APACHE II), Rapid Emergency Medicine Score (REMS), Sequential Organ Failure Assessment (SOFA), Multiple Organ Dysfunction Score (MODS), Predisposition, Infection, Response, and Organ Dysfunction (PIRO), and Mortality in Emergency Department Sepsis (MEDS), were compared to assess their sensitivity and specificity. MATERIALS AND METHODS: A prospective cohort study was conducted over 6 months. The study was conducted in the intensive care unit (ICU) of a tertiary care teaching hospital. All patients above 18 years of age with confirmed sepsis diagnosis and a well-defined outcome were included in the study. RESULTS: A total of 193 patients were included in the study. The mean age was 57.2 ± 15.3 (mean ± standard deviation) years. Majority of the patients were male, 125 (64.76%). Overall mortality was 108 (55.9%). The calculated area under the receiver operating characteristic curve was 0.86 (95% confidence interval [CI]: 0.80-0.90) for APACHE II, 0.81 (95% CI: 0.75-0.87) for REMS, 0.80 (95% CI: 0.74-0.86) for SOFA, 0.74 (95% CI: 0.67-0.80) for MODS, 0.78 (95% CI: 0.71-0.84) for PIRO, and 0.77 (95% CI: 0.71-0.83) for MEDS. Sensitivity and specificity for APACHE II were 81.5 and 75.3, respectively. CONCLUSIONS: In our study, APACHE II score was found to be the most sensitive and specific in predicting the severity of sepsis compared to other scores.

The role of MMP-2 and MMP-9 as prognostic markers in the early stages of tongue squamous cell carcinoma.

BACKGROUND: Tongue cancer is the most common intra-oral malignancy with a high rate of morbidity and mortality owing to its increased propensity for tumor invasion and metastasis. These processes require a controlled degradation of the extracellular matrix. Matrix Metalloproteinase-2 (MMP-2) and Matrix Metalloproteinase-9 (MMP-9) are known to be important regulators of matrix lysis and play a significant role in the metastasis of malignancies. AIM AND OBJECTIVES: To study the expression of MMP-2 and MMP-9 in the early stages of tongue squamous cell carcinoma and find the association between their expression and local recurrence, metastasis, and survival rates of the subjects. MATERIALS AND METHODS: Fifty-nine tumor biopsy samples of tongue squamous cell carcinoma in T1 N0 M0 and T2 N0 M0 stages were immunostained with MMP-2 and MMP-9 antibodies. The immunohistochemical expression was compared with the patient characteristics and outcome. RESULTS: Cytoplasmic expression of MMP-2 correlated with that of MMP-9 (r = 0.716, P < 0.001). Greater expression of MMP-2 and MMP-9 was observed in patients who subsequently developed local recurrence (P = 0.044 and P < 0.001, respectively), regional and/or distant metastasis (P < 0.001 and P = 0.001, respectively) of the tumor. Further, a higher expression of these biomarkers was associated with shorter survival. MMP-9 was found to have better specificity for local recurrence, metastasis and survival. CONCLUSION: Our results showed that these biomarkers may serve as indicators of a patient's risk potential for poor prognosis and presage the need for more aggressive treatment measures.

Effect of Nutrition on Drug-Induced Liver Injury: Insights from a High-Fat Diet Mouse Model.

Objectives: Literature suggests that a high-fat diet (HFD) potentially increases the risk of chemical/drug-induced toxicity after an acute overdose. Drug/chemical-induced hepatotoxicity has been well studied, and the mechanism that regulates this toxicity has been extensively examined using different experimental animal models. Our study focuses on drug-induced hepatotoxicity in HFD-fed female Balb/C mice. This study addresses the effect of nutrition on the magnitude of acetaminophen (APAP)-induced hepatotoxicity at different time intervals. Materials and Methods: Female Balb/C mice, after the weaning period separated into two different groups, normal diet (ND) and HFD receiving groups; after 15 weeks, they were dosed with a single dose (300 mg/kg per os (p.o.) of APAP. Blood samples were collected at different time intervals (0, 6 and 24 hours), and liver samples were collected at the end time point. Liver injury parameters [alanine aminotransferase (ALT) and aspartate aminotransferase (AST)], antioxidant assay (sodium dismutase, glutathione, and catalase), and histopathology study were conducted. Pharmacokinetic (PK) analysis was done using the RP-HPLC system and Phoenix WinNonlin 8.3 software. Results: APAP-induced liver injury decreased AST and ALT in the HFD group compared with the ND group at 6 and 24 hours (p < 0.01 and p < 0.001), respectively. Antioxidant enzyme levels remained constant in the HFD group, whereas histopathology showed remarkable changes. The PK's of APAP in HFD indicate lower plasma concentrations of APAP (p < 0.05), with two-fold higher clearance and volume of distribution. Conclusion: HFD significantly reduced susceptibility to APAP-mediated liver injury in Balb/C mice compared with ND mice. Our study mimics the clinical scenario where the same dose of the drug is prescribed to the normal and obese population. Our results suggest the potential need for dose titration to assess an individual's nutritional state in a clinical scenario.

Relationship between antibiotic consumption pattern and antibiotic resistance in neonatal sepsis.

Background and aim: Inappropriate use of antibiotics may increase antimicrobial resistance (AMR) among different microorganisms and may lead to treatment failure in neonatal septicemia. The aim of this study was to recognize the most common microorganisms responsible for neonatal sepsis and to evaluate the trend of change of resistance pattern among microorganisms. Methods: This study was done retrospectively on 344 cases diagnosed with neonatal sepsis, including both early and late onset cases, admitted to the tertiary care teaching hospital of southern India from January 2012 to July 2017. Accordingly, 231 culture positive neonatal sepsis cases were collected from hospital data base and analyzed. Culture positive cases within 72 hours of life were termed as early onset while after 72 hours were late onset. Antibiotics utilization during the period was calculated using WHO AMC tool and reported as (DDD)/100 bed days. Results: Klebsiella pneumoniae with 56 (21.8%) and Coagulase negative Staphylococcus with 52 (20.2%) cases were the most frequent isolated organisms which were responsible for 55.8% and 14.6% of deaths among the study subjects respectively. Amikacin (86.7%), vancomycin (52.3%) and ampicillin (40.6%) were the most used antibiotics in terms of DDD/100 bed days. Conclusion: The results obtained from our study have brought substantial information on the antibiotic resistance pattern among microorganisms causing neonatal sepsis. Moreover, results obtained from this study can be used for designing antibiotic stewardship policies to prevent the emergence of resistance and to improve the treatment outcome.

Pharmacovigilance in Herbal Drugs: A Challenge.

There is a growing awareness of a disease at many levels, its treatment, and treatment outcomes including side effects. Alternative therapy techniques, herbal medicines and formulations are extensively acknowledged and practiced in India and around the world. Herbal medicine is usually considered being safe regardless of the absence of scientific evidence to support its claims. Several issues concerning the methods in which herbal medications are labelled, evaluated, sourced, and used are connected to herbal medicine. Herbal therapeutics in the management and treatment of diabetes, rheumatism, hepatic disorders and other mild to chronic diseases and disorders are widely accepted. However, the adversities are difficult to recognize. The idea that the nature is safe and may be taken without the prescription of a physician has resulted in widespread self-medication across the world, sometimes with disappointing results, side effects, or unpleasant after-effects. The existing pharmacovigilance paradigm and its accompanying tools were created in connection with synthetic medicines. Nevertheless, adopting these approaches to keep records of herbal medications' safety poses a distinct challenge. This might be due to the variations in the usage of non-traditional medicines, which can offer unique toxicological issues whether taken alone or in conjunction with other medications. The goal of pharmacovigilance is to identify, analyse, explain, and minimize the adverse reactions and other drug-related complications associated with herbal, traditional, and complementary medications. Systematic pharmacovigilance is required to collect accurate data on the safety of herbal medications to create adequate guidelines for effective and safe usage.

The significance of APACHE II as a predictor of mortality in paraquat poisoning: A systematic review and meta-analysis.

The Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system is utilised as a prognostic method in paraquat poisoning; however, current evidence shows ambiguity. Although some studies have shown APACHE II to be a superior tool, others have reported it inferior to other prognostic markers, such as lactate, severity index of paraquat poisoning and urine paraquat concentration. Hence, to address this ambiguity, we conducted a systematic review and meta-analysis to analyse prognostic accuracy of APACHE II score in predicting mortality in paraquat poisoning. We included twenty studies with 2524 paraquat poisoned patients in the systematic review, after a comprehensive literature search in databases PubMed, Embase, Web of Science, Scopus and Cochrane Library, from which 16 studies were included in the meta-analysis. The survivors of paraquat poisoning were found to have significantly lower APACHE II scores (Mean Difference (MD): -5.76; 95% CI: -7.93 to -3.60 p < 0.0001; n = 16 studies) compared to non-survivors. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) for APACHE II score <9 was found to be 74%, 68%, 2.58, 0.38 and 7.10, respectively (n = 5 studies). The area under the curve (AUC) of the bivariate summary receiver operating characteristic (SROC) curve was found to be 0.80. The pooled sensitivity, specificity, PLR, NLR and DOR for APACHE II score ≥9 was found to be 73%, 86%, 4.69, 0.33 and 16.42, respectively (n = 9 studies). The AUC of the SROC curve was found to be 0.89. Pairwise AUC comparison of APACHE II with other prognostic markers showed serum presepsin to have a significantly better discriminatory ability than APACHE II. Through the findings of this study, we conclude that APACHE II was found to be a good indicator of death in paraquat poisoning patients. However, higher APACHE II scores (≥9) depicted greater specificity in predicting mortality in paraquat poisoning. Thus, APACHE II can be used as a practical tool in the hand of physicians to prognose patients with paraquat poisoning to aid clinical decisions.

Identification of potential risk factors for the poor prognosis of neonatal sepsis.

Background and aim: Risk factor-based approach is one of the best approaches employed by middle income countries which are not well facility driven for any disease management. Thus, through this approach, we aim to identify the potential risk factors responsible for the poor outcome in neonatal sepsis. Methods: A case control was conducted retrospectively with neonates admitted to Neonatal Intensive Care Unit during January 2012 to December 2016. Cases were identified using ICD-10 Code from inpatient medical records and demographic, maternal and neonatal details were collected from the medical files. Logistic regression was performed to identify the risk factors associated with mortality in neonatal sepsis. Results: A total of 613 neonates were found to have culture positive sepsis from the 4690 neonates admitted in the Neonatal Intensive Care Unit (NICU). There was a total of 831 episodes in the 613 neonates. The mortality rate in neonates with sepsis was found to be 25.4%. Extremely low birth weight (OR 6.171, CI 3.475-10.957), extreme preterm (OR 5.761, CI 2.612-12.708), very preterm (OR 2.548, CI 1.607-4.042), preeclampsia (OR 1.671, CI 1.091-2.562), acute renal failure (OR 4.939, CI-2.588-9.426), coagulopathy (OR 2.211, CI-1.486-3.289), septic shock (OR 173.522, CI-23.642-1273.59), thrombocytopenia (OR 5.231, CI-3.310-8.268), leukopenia (OR 2.422, CI- 1.473-3.984), CRP > 24 (OR 2.099, CI-1.263-3.487) and abnormal absolute neutrophil count (OR 2.108, CI-1.451-3.062) were some of the significant predictors, identified through risk-based approach, in assessing mortality in neonatal sepsis. Conclusion: Risk-based approach applied was successful in determining plausible important predictors such like extreme low birth weight, extreme preterm, resistance against gram negative infections, preeclampsia, septic shock, hypotension, leukopenia, neutropenia, thrombocytopenia in predicting mortality in neonatal sepsis. These potential risk factors, identified through risk- based approach, can play a pivotal role in assisting clinician to make appropriate and judicious decision.

Prediction modelling in the early detection of neonatal sepsis.

BACKGROUND: Prediction modelling can greatly assist the health-care professionals in the management of diseases, thus sparking interest in neonatal sepsis diagnosis. The main objective of the study was to provide a complete picture of performance of prediction models for early detection of neonatal sepsis. METHODS: PubMed, Scopus, CINAHL databases were searched and articles which used various prediction modelling measures for the early detection of neonatal sepsis were comprehended. Data extraction was carried out based on Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. Extricate data consisted of objective, study design, patient characteristics, type of statistical model, predictors, outcome, sample size and location. Prediction model Risk of Bias Assessment Tool was applied to gauge the risk of bias of the articles. RESULTS: An aggregate of ten studies were included in the review among which eight studies had applied logistic regression to build a prediction model, while the remaining two had applied artificial intelligence. Potential predictors like neonatal fever, birth weight, foetal morbidity and gender, cervicovaginitis and maternal age were identified for the early detection of neonatal sepsis. Moreover, birth weight, endotracheal intubation, thyroid hypofunction and umbilical venous catheter were promising factors for predicting late-onset sepsis; while gestational age, intrapartum temperature and antibiotics treatment were utilised as budding prognosticators for early-onset sepsis detection. CONCLUSION: Prediction modelling approaches were able to recognise promising maternal, neonatal and laboratory predictors in the rapid detection of early and late neonatal sepsis and thus, can be considered as a novel way for clinician decision-making towards the disease diagnosis if not used alone, in the years to come.

Identification of risk factors associated with hyponatremia in psychiatric patients: a case-control study.

Background and aims: Prompt recognition and optimal management of hyponatremia helps the physician devise a better treatment plan to prevent future complications in patients. Hence this study aims to identify the risk factors associated with hyponatremia in psychiatric patients. Methods: A case-control study was conducted among psychiatric inpatients in a tertiary care teaching hospital. Patients admitted from January 2013 to December 2017 were identified using ICD-10 code F01-F99. Patients with serum sodium levels < 135 mmol/L were considered to have hyponatremia and between 135-145 mmol/L as controls. Factors associated with hyponatremia were identified by multiple logistic regression, and the odds ratio (OR) was calculated. Results: Based on the inclusion and exclusion criteria, 264 cases of hyponatremia and 253 matching controls were included in the study. The mean age of patients with hyponatremia was 56.4 ± 16.8 years compared to 39.6 ± 13.9 years in controls, and 65.7% of them were males. Seizure disorder (OR = 3.14, p = 0.047), bipolar disorder (OR = 6.03, p = 0.001), depression (OR = 4.78, p = 0.0005), use of quetiapine (OR = 2.11, p = 0.007) and insulin (OR = 3.53, p = 0.038) were independent risk factors associated with development of hyponatremia. Conclusions: The chances of developing hyponatremia are increased in psychiatric patients with a seizure disorder, bipolar disorder, depression and using quetiapine or insulin. And they should be monitored carefully.

Identification of factors affecting outcomes in patients with Guillain Barre syndrome.

Background: Guillain Barre syndrome (GBS) is a rare autoimmune neurological disorder resulting in variable clinical course and outcome. Various factors such as age, symptoms and disease form that influence the outcome of GBS have been previously studied. Aim: This study aimed at identifying factors affecting the outcomes in patients with GBS. Methods: A retrospective observational study was conducted on GBS (ICD-G61.0) patients admitted to the hospital between 2014 and 2019. Patient information on demographics, medical and medication history, laboratory parameters, electrophysiological data, type of GBS and therapy received were retrieved from medical records. Univariate and multivariate analysis were conducted to identify factors associated with outcome (improved and not improved) and calculate odds ratio (OR). Results: A total of 212 GBS patients were included in the study, of which 67% were males and the mean age was 39.9±20.1 years. 168 (79%) patients showed improvement whereas the remaining 44(21%) did not show improvement. Patients with hypertension (OR=4.512; CI=1.309-15.556, p=0.017), alcoholics (OR=5.148; CI=1.234-21.472, p=0.025), sepsis (OR= 9.139; CI=1.102-75.760, p=0.040) and cardiac arrest (OR=17.495; CI=1.249-245.027, p=0.034) were associated with risk of no improvement. Whereas those treated with IVIgG plus Physiotherapy/Occupational therapy (OR=0.062; CI=0.016-0.242, p=0.001) and Plasmapheresis plus Physiotherapy/Occupational therapy (OR=0.007; CI=0.000-0.147, p=0.001) were associated with improvement. Conclusion: Understanding these factors help to further give a more directed and focused management to improve the condition in patients who are at risk of poor outcome. Further follow-up studies could be done to determine and manage the residual disabilities associated with GBS to improve patient's quality of life.

Factors affecting the outcomes in patients with acute respiratory distress syndrome in a tertiary care setting.

Purpose: The clinical profile and factors affecting outcomes in acute respiratory distress syndrome (ARDS) from adequately sample-sized Indian studies are still lacking. We aimed to investigate the clinical profile, treatment pattern, outcomes; and to assess factors affecting non-recovery in ARDS patients. Patients and methods: A retrospective observational study was conducted among adult ARDS patients admitted during five year period (January 2014-December 2018) in a South Indian tertiary care setting. The relevant data were collected from the medical records to the data collection form. The univariate and multivariate logistic regression analyses were conducted to identify the predictors of outcomes using SPSS v20. Results: A total of 857 participants including 496 males and 361 females with a mean age of 46.86 ± 15.81 years were included in this study. Fever (70.9%), crepitation (58.3%), breathlessness (56.9%), and cough (45%) were the major clinical presentation. Hypertension (25.2%), kidney disease (23.8%), and diabetes (22.3%) were the major comorbidities; and sepsis (37.6%), pneumonia (33.3%), and septic shock (27.5%) were the major etiological factors observed. Antibiotics and steroids were administered to 97.9% and 52.3% of the population, respectively. The recovery rate was 47.49%. The patients with scrub typhus, dengue, pancreatitis, and oxygen supplementation had significantly lower mortality. The factors such as advanced age, sepsis, septic shock, liver diseases, and ventilation requirements were observed to be the independent predictors of non-recovery in ARDS patients. Conclusion: A comparable recovery rate was observed in our population. Advanced age, sepsis, septic shock, liver diseases, and ventilation requirements were the independent predictors of non-recovery.

Artificial intelligence in differentiating tropical infections: A step ahead.

BACKGROUND AND OBJECTIVE: Differentiating tropical infections are difficult due to its homogenous nature of clinical and laboratorial presentations among them. Sophisticated differential tests and prediction tools are better ways to tackle this issue. Here, we aimed to develop a clinician assisted decision making tool to differentiate the common tropical infections. METHODOLOGY: A cross sectional study through 9 item self-administered questionnaire were performed to understand the need of developing a decision making tool and its parameters. The most significant differential parameters among the identified infections were measured through a retrospective study and decision tree was developed. Based on the parameters identified, a multinomial logistic regression model and a machine learning model were developed which could better differentiate the infection. RESULTS: A total of 40 physicians involved in the management of tropical infections were included for need analysis. Dengue, malaria, leptospirosis and scrub typhus were the common tropical infections in our settings. Sodium, total bilirubin, albumin, lymphocytes and platelets were the laboratory parameters; and abdominal pain, arthralgia, myalgia and urine output were the clinical presentation identified as better predictors. In multinomial logistic regression analysis with dengue as a reference revealed a predictability of 60.7%, 62.5% and 66% for dengue, malaria and leptospirosis, respectively, whereas, scrub typhus showed only 38% of predictability. The multi classification machine learning model observed to have an overall predictability of 55-60%, whereas a binary classification machine learning algorithms showed an average of 79-84% for one vs other and 69-88% for one vs one disease category. CONCLUSION: This is a first of its kind study where both statistical and machine learning approaches were explored simultaneously for differentiating tropical infections. Machine learning techniques in healthcare sectors will aid in early detection and better patient care.

Effectiveness of blended learning in pharmacy education: An experimental study using clinical research modules.

BACKGROUND &OBJECTIVES: Though there are studies to evaluate the effectiveness of blended learning in pharmacy education, most of them originate from USA and have used previous year students' scores as control. Also there is less research in comparing use of self -regulated learning strategies between blended and other learning strategies. Primary aim was to evaluate the effectiveness of blended learning on knowledge score using clinical research modules. Secondary objective was designed to compare the use of self-regulated learning strategies between blended learning, web-based e-learning and didactic teaching. MATERIALS AND METHODS: A prospective cluster randomized trial was conducted with didactic teaching as control and web-based e-learning and blended learning as interventions. The target population was final year Pharm D students. Outcome was assessed using a validated knowledge questionnaire, a motivated strategies for learning questionnaire and a feedback form. All statistical analyses were carried out using Statistical Package for Social Science (SPSS) Version 20. RESULTS: A total of 241 students from 12 colleges completed the study. Mean knowledge score of students in blended learning group was higher than those in the didactic teaching and web- based e- learning program (64.26±18.19 Vs 56.65±8.73 Vs 52.11±22.06,p<0.001).Frequency of use of learning strategies namely rehearsal, elaboration, organization and critical thinking was statistically significantly higher in the blended learning group compared to those of didactic and web-based e-learning group (p<0.05) But there were no statistically significant difference of motivational orientations between didactic and blended learning group except strategies of extrinsic goal orientation and self-efficacy. Students preferred blended learning (86.5%) over didactic and web-based e-learning. CONCLUSION: Blended learning approach is an effective way to teach clinical research module. Students of blended learning group employed all motivational and learning strategies more often than students of the didactic and web- based e-learning groups except strategies of intrinsic goal orientation, task value, control of learning belief and help seeking.

Factors associated with outcomes in organophosphate and carbamate poisoning: a retrospective study.

Organophosphate and carbamate (OPC) poisoning is a major global health hazard requiring immediate medical intervention. Atropine (ATR) is an essential antidote in organophosphate and carbamate poisoning, with the inclusion of cholinesterase reactivators and other anticholinergics, namely pralidoxime (PAM) and glycopyrrolate (GPR). This study aimed to compare the efficacy of various treatment regimens and identify the factors affecting mortality. The data of patients presented at the emergency unit with the consumption of OPC compounds between the years 2013 and 2017 were retrospectively reviewed. The study population was then categorized into four treatment patterns (1) ATR alone, (2) ATR and PAM, (3) ATR and GPR, (4) ATR, PAM and GPR. The outcome of the patients was assessed in terms of survival, intubation, ICU days, and days of ventilation and hospitalization. Univariate and multivariate analyses were performed to investigate the risk factors associated with mortality and odds ratio (OR). A total of 441 patients were included in the study, of which 69.16% were males, and 375 patients survived. Consumption of poison with a suicidal intention was reported in 98.19% of the patients, and the treatment with ATR and PAM (42.86%) was observed to have lower days of ventilation in comparison to the treatment with ATR and GPR (p = 0.003). Patients requiring intubation were also lowest in the group treated with ATR and PAM (27.51%). The age group of > 50 years (OR 4.275 [CI 2.179-8.387]), male gender (OR 2.608 [CI 1.258-5.406]), and the treatment pattern with ATR, PAM and GPR (OR 2.233 [CI 1.002-4.040]) were independently associated with mortality. In summary, male gender, elderly population, and treatment patterns followed adversely affected the outcome in patients with OPC poisoning.

Identification of risk factors and metabolic monitoring practices in patients on antipsychotic drugs in South India.

The objectives of this study were to identify the risk factors for metabolic syndrome in patients on antipsychotics and to compare the frequency of metabolic monitoring with evidence-based guidelines. We conducted a retrospective cohort study in a tertiary care health institution of South India. The study included patients with schizophrenia, bipolar disorder, and schizoaffective disorders prescribed with antipsychotic drugs. Data was collected from the medical records department. American Diabetic Association/American Psychiatric Association (ADA/APA) guidelines were used as a reference standard to assess the monitoring for metabolic parameters. Diagnosis of metabolic syndrome was done according to the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) guidelines. Risk factors for metabolic syndrome and frequency of metabolic monitoring were analyzed. A total of 668 patients were included for clinical audit. About 16.5 % of the patients were diagnosed with metabolic syndrome. Age >50 years (Odds Ratio (OR) 2.00; p value <0.001) and duration of antipsychotic treatment>5 years (OR 1.55; p value< 0.05) were recognized as the independent risk factors for metabolic syndrome using multiple logistic regression. Blood pressure (BP) and fasting blood sugar (FBS) levels were documented in 99.7 % and 47 % of cases at baseline respectively, however, subsequent annual data on BP and FBS monitoring was reduced to 72.7 % and 46 % respectively. Weight was documented in 60 % of the cases at baseline, whereas the subsequent data on four times the annual assessment of weight was reduced to 9.8 %. The extent of documentation of metabolic monitoring parameters was inadequate.

Adverse Effects of Fluoroquinolones: A Retrospective Cohort Study in a South Indian Tertiary Healthcare Facility.

The Food and Drug Administration (FDA) safety review revealed that the use of fluoroquinolones (FQs) is linked with disabling and potentially permanent serious adverse effects. These adverse effects compromise the tendons, muscles, joints, nerves, and central nervous system of the human body. The purpose of the study was to investigate the incidence and risk factors for adverse drug reactions (ADRs) caused by FQs in comparison with other antibiotics used. A retrospective cohort study was conducted over seven months in Kasturba Medical College Hospital, Manipal, India. Patients who were prescribed with FQs were selected as the study cohort (SC; n = 482), and those without FQs were the reference cohort (RC; n = 318). The results showed that 8.5% (41) of patients developed ADRs in the SC, whereas 4.1% (13) of patients developed ADRs in the RC. With oral and parenteral routes of administration, almost a similar number of ADRs were observed. Levofloxacin caused the highest number of ADRs reported, especially with the 750-mg dose. Based on a multiple logistic regression model, FQ use (odds ratio (OR): 2.27; 95% confidence interval (CI): 1.18-4.39; p = 0.015) and concomitant steroid use (OR: 3.19; 95% CI: 1.31-7.79; p = 0.011) were identified as independent risk factors for the development of ADRs among antibiotics users, whereas age was found to be protective (OR: 0.98; 95% CI: 0.97-1.00; p = 0.047). The study found a higher incidence of ADRs related to FQs compared to other antibiotics. The study concludes a harmful association between FQ use and the development of ADRs. Moreover, FQs are not safe compared to other antibiotics. Hence, the use of FQs should be limited to the conditions where no other alternatives are available.

Identification of factors affecting treatment outcome in bipolar disorder.

BACKGROUND AND AIM: Treatment outcomes in bipolar disorder are highly variable, and several sociodemographic, clinical characteristics, and comorbidities play an important role. Early recognition of these factors will help the physicians to implement individualized treatment and a better clinical outcome. The present study was aimed at identifying the factors affecting treatment outcomes in bipolar disorder. MATERIALS AND METHODS: All patients diagnosed with bipolar disorder as per diagnostic and statistical manual-IV criteria were included in the study. Patients were followed for 6 months from the day of enrollment. Patient demography, age at bipolar disorder was diagnosed, age at treatment was started, social habits, signs and symptoms, comorbidities, symptoms, treatment pattern, and compliance to treatment were recorded in case record form. Based on the changes in young mania rating scale and Hamilton Depression Rating Scale (HAM-D) score from baseline to last follow-up, the patients were classified as remission and non-remission. Multiple logistic regression was used to identify risk factors associated nonremission in bipolar disorder patients and calculation of odds ratio (OR). RESULTS: The mean age of the study population was 37.6 ± 14.1 years. Out of the 121 patients, 68 (56.2%) were female. At the end of the follow-up period, 41 (33.9%) had remission, and 80 (66.1%) had nonremission. Early onset (OR: 9.77; confidence intervals [CI]: 1.77-86.01), treatment delay (OR: 6.48; CI: 1.27-32.92), treatment noncompliance (OR: 4.64; CI: 1.37-15.64), and single living (OR: 4.26; CI: 1.56-11.66) were independently associated with nonremission in bipolar disorder patients. CONCLUSIONS: Early-onset bipolar disorder, delay in treatment, treatment non-compliance, and single living adversely affect remission in bipolar disorder.

Knowledge Assessment of E-Bug Assisted Antimicrobial Resistance Education Module in Class VII School Students of South Indian Coastal Town of Manipal.

Antimicrobial resistance (AMR) is a recognized public health threat today globally. Although many active and passive stewardship strategies are advocated to counter AMR clinically, educating school going children on AMR could be a cost-effective measure to minimize AMR development in the future. We implemented NICE's e-bug as a module to educate class VII school students on AMR determinants. A prospective quasi-experimental study on 327 students from nine different schools of class VII around Manipal town, Udupi district, Karnataka state, India were included in the study. Ten questions on AMR determinants from the e-bug program were used in written pre-test. After an education intervention, a post-test was conducted. Descriptive statistics to estimate epidemiological characteristics, Wilcoxon Signed Ranks and Kruskal⁻Wallis tests were applied to analyze statistical significance of pre/post-test performance scores and between schools. Students had inadequate knowledge on seven AMR determinants (antimicrobial indication, its course, hand hygiene, fermentation, spread of infection, microbial multiplication and characteristics of microbe) as analyzed from the post-test performance (p < 0.05). Comparison of post-test performance between schools showed significant improvement in scores (p < 0.05) for three questions (definition on antimicrobial, cover while cough/sneezing and microbial characteristics). Although students exhibited sub-optimal knowledge on some AMR determinants, they showed keenness to learn, which was evident by their post-test performance. Our findings and previous similar studies from Europe are suggestive of early pedagogic interventions on AMR through inclusion of such education modules in the regular school curriculum could be a potential tool for AMR prevention.