Microbiology Clinical Culture Diagnostic Yields and Antimicrobial Resistance Proportions before and during the COVID-19 Pandemic in an Indian Community Hospital and Two US Community Hospitals.

Studies comparing the impact of the COVID-19 pandemic on diagnostic microbiology culture yields and antimicrobial resistance proportions in low-to-middle-income and high-income countries are lacking. A retrospective study using blood, respiratory, and urine microbiology data from a community hospital in India and two community hospitals (Hospitals A and B) in St. Louis, MO, USA was performed. We compared the proportion of cultures positive for selected multi-drug-resistant organisms (MDROs) listed on the WHO's priority pathogen list both before the COVID-19 pandemic (January 2017-December 2019) and early in the COVID-19 pandemic (April 2020-October 2020). The proportion of blood cultures contaminated with coagulase-negative Staphylococcus (CONS) was significantly higher during the pandemic in all three hospitals. In the Indian hospital, the proportion of carbapenem-resistant (CR) Klebsiella pneumoniae in respiratory cultures was significantly higher during the pandemic period, as was the proportion of CR Escherichia coli in urine cultures. In the US hospitals, the proportion of methicillin-resistant Staphylococcus aureus in blood cultures was significantly higher during the pandemic period in Hospital A, while no significant increase in the proportion of Gram-negative MDROs was observed. Continuity of antimicrobial stewardship activities and better infection prevention measures are critical to optimize outcomes and minimize the burden of antimicrobial resistance among COVID-19 patients.

Clinical features and risk factors for death in acute undifferentiated fever: A prospective observational study in rural community hospitals in six states of India.

BACKGROUND: Acute undifferentiated fever (AUF) ranges from self-limiting illness to life-threatening infections, such as sepsis, malaria, dengue, leptospirosis and rickettsioses. Similar clinical presentation challenges the clinical management. This study describes risk factors for death in patients hospitalized with AUF in India. METHODS: Patients aged ≥5 y admitted with fever for 2-14 d without localizing signs were included in a prospective observational study at seven hospitals in India during 2011-2012. Predictors identified by univariate analysis were analyzed by multivariate logistic regression for survival analysis. RESULTS: Mortality was 2.4% (37/1521) and 46.9% (15/32) died within 2 d. History of heart disease (p=0.013), steroid use (p=0.011), altered consciousness (p<0.0001), bleeding (p<0.0001), oliguria (p=0.020) and breathlessness (p=0.015) were predictors of death, as were reduced Glasgow coma score (p=0.005), low urinary output (p=0.004), abnormal breathing (p=0.006), abdominal tenderness (p=0.023), leucocytosis (p<0.0001) and thrombocytopenia (p=0.001) at admission. Etiology was identified in 48.6% (18/37) of fatal cases. CONCLUSIONS: Bleeding, cerebral dysfunction, respiratory failure and oliguria at admission, suggestive of severe organ failure secondary to systemic infection, were predictors of death. Almost half of the patients who died, died shortly after admission, which, together with organ failure, suggests that delay in hospitalization and, consequently, delayed treatment, contribute to death from AUF.

Development and Validation of the RCOS Prognostic Index: A Bedside Multivariable Logistic Regression Model to Predict Hypoxaemia or Death in Patients with SARS-CoV-2 Infection.

Introduction: Previous COVID-19 prognostic models have been developed in hospital settings and are not applicable to COVID-19 cases in the general population. There is an urgent need for prognostic scores aimed to identify patients at high risk of complications at the time of COVID-19 diagnosis. Methods: The RDT COVID-19 Observational Study (RCOS) collected clinical data from patients with COVID-19 admitted regardless of the severity of their symptoms in a general hospital in India. We aimed to develop and validate a simple bedside prognostic score to predict the risk of hypoxaemia or death. Results: 4035 patients were included in the development cohort and 2046 in the validation cohort. The primary outcome occurred in 961 (23.8%) and 548 (26.8%) patients in the development and validation cohorts, respectively. The final model included 12 variables: age, systolic blood pressure, heart rate, respiratory rate, aspartate transaminase, lactate dehydrogenase, urea, C-reactive protein, sodium, lymphocyte count, neutrophil count, and neutrophil/lymphocyte ratio. In the validation cohort, the area under the receiver operating characteristic curve (AUROCC) was 0.907 (95% CI, 0.892-0.922), and the Brier Score was 0.098. The decision curve analysis showed good clinical utility in hypothetical scenarios where the admission of patients was decided according to the prognostic index. When the prognostic index was used to predict mortality in the validation cohort, the AUROCC was 0.947 (95% CI, 0.925-0.97) and the Brier score was 0.0188. Conclusions: The RCOS prognostic index could help improve the decision making in the current COVID-19 pandemic, especially in resource-limited settings with poor healthcare infrastructure such as India. However, implementation in other settings is needed to cross-validate and verify our findings.

2021 update to HIV-TRePS: a highly flexible and accurate system for the prediction of treatment response from incomplete baseline information in different healthcare settings.

OBJECTIVES: With the goal of facilitating the use of HIV-TRePS to optimize therapy in settings with limited healthcare resources, we aimed to develop computational models to predict treatment responses accurately in the absence of commonly used baseline data. METHODS: Twelve sets of random forest models were trained using very large, global datasets to predict either the probability of virological response (classifier models) or the absolute change in viral load in response to a new regimen (absolute models) following virological failure. Two 'standard' models were developed with all baseline variables present and 10 others developed without HIV genotype, time on therapy, CD4 count or any combination of the above. RESULTS: The standard classifier models achieved an AUC of 0.89 in cross-validation and independent testing. Models with missing variables achieved AUC values of 0.78-0.90. The standard absolute models made predictions that correlated significantly with observed changes in viral load with a mean absolute error of 0.65 log10 copies HIV RNA/mL in cross-validation and 0.69 log10 copies HIV RNA/mL in independent testing. Models with missing variables achieved values of 0.65-0.75 log10 copies HIV RNA/mL. All models identified alternative regimens that were predicted to be effective for the vast majority of cases where the new regimen prescribed in the clinic failed. All models were significantly better predictors of treatment response than genotyping with rules-based interpretation. CONCLUSIONS: These latest models that predict treatment responses accurately, even when a number of baseline variables are not available, are a major advance with greatly enhanced potential benefit, particularly in resource-limited settings. The only obstacle to realizing this potential is the willingness of healthcare professions to use the system.

Association of Empiric Antibiotic Regimen Discordance With 30-Day Mortality in Neonatal and Pediatric Bloodstream Infection-A Global Retrospective Cohort Study.

BACKGROUND: While there have been studies in adults reporting discordant empiric antibiotic treatment associated with poor outcomes, this area is relatively unexplored in children and neonates despite evidence of increasing resistance to recommended first-line treatment regimens. METHODS: Patient characteristics, antibiotic treatment, microbiology, and 30-day all-cause outcome from children <18 years with blood-culture-confirmed bacterial bloodstream infections (BSI) were collected anonymously using REDCap™ through the Global Antibiotic Prescribing and Resistance in Neonates and Children network from February 2016 to February 2017. Concordance of early empiric antibiotic treatment was determined using European Committee on Antimicrobial Susceptibility Testing interpretive guidelines. The relationship between concordance of empiric regimen and 30-day mortality was investigated using multivariable regression. RESULTS: Four hundred fifty-two children with blood-culture-positive BSI receiving early empiric antibiotics were reported by 25 hospitals in 19 countries. Sixty percent (273/452) were under the age of 2 years. S. aureus, E. coli, and Klebsiella spp. were the most common isolates, and there were 158 unique empiric regimens prescribed. Fifteen percent (69/452) of patients received a discordant regimen, and 7.7% (35/452) died. Six percent (23/383) of patients with concordant regimen died compared with 17.4% (12/69) of patients with discordant regimen. Adjusting for age, sex, presence of comorbidity, unit type, hospital-acquired infections, and Gram stain, the odds of 30-day mortality were 2.9 (95% confidence interval: 1.2-7.0; P = 0.015) for patients receiving discordant early empiric antibiotics. CONCLUSIONS: Odds of mortality in confirmed pediatric BSI are nearly 3-fold higher for patients receiving a discordant early empiric antibiotic regimen. The impact of improved concordance of early empiric treatment on mortality, particularly in critically ill patients, needs further evaluation.

Association of Intrapartum Risk Factors and Infant Clinical Indicators with Culture Confirmed Early Onset Neonatal Sepsis in a Secondary Care Rural Hospital in India.

OBJECTIVE: The aim of this study is to determine the association of intrapartum risk factors and infant clinical indicators using the National Institute for Health and Care Excellence (NICE) criteria with culture-positive early-onset neonatal sepsis (EONS) from a rural secondary healthcare facility where intrapartum prophylactic antibiotics are routinely administered to high-risk mothers. METHODS: A single-center prospective observational study was conducted between July 2017 and September 2018. All intramural neonates with at least one NICE criteria at less than 72 h of life, were included. Univariate logistic regression and multivariable logistic backward elimination analyses were conducted to investigate individual risk factors and predictive models for culture proven EONS. RESULTS: Of 236 newborns who were at risk for EONS by NICE criteria, 32 (13.8%) had positive blood cultures. Klebsiella species (n = 13, 39.4%) and Acinetobacter species (n = 11, 33.3%) were the most common isolated bacteria. In univariate analysis, the number of infant clinical indicators were associated with culture positive EONS (OR 1.36; 95% CI 1.01-1.81), but not the number of intrapartum risk factors (OR 0.76; 95% CI 0.4-1.29). The multivariate logistic regression with backward elimination procedure suggested that a model including absolute neutrophil count [adjusted OR (aOR) 0.81; 95% CI 0.72-0.92], C-reactive protein (aOR 1.24; 95% CI 1.08-1.43) and the number of clinical indicators (aOR 1.29; 95% CI 0.93-1.80) could be useful to predict culture positive EONS in our setting. CONCLUSION: In this maternal and neonatal cohort, infant clinical indicators rather than intrapartum risk factors were associated with culture confirmed EONS.

Antimicrobial Resistance Surveillance in Low- and Middle-Income Countries: Progress and Challenges in Eight South Asian and Southeast Asian Countries.

Antimicrobial resistance (AMR) is a serious global health threat and is predicted to cause significant health and economic impacts, particularly in low- and middle-income countries (LMICs). AMR surveillance is critical in LMICs due to high burden of bacterial infections; however, conducting AMR surveillance in resource-limited settings is constrained by poorly functioning health systems, scarce financial resources, and lack of skilled personnel. In 2015, the United Nations World Health Assembly endorsed the World Health Organization's Global Action Plan to tackle AMR; thus, several countries are striving to improve their AMR surveillance capacity, including making significant investments and establishing and expanding surveillance networks. Initial data generated from AMR surveillance networks in LMICs suggest the high prevalence of resistance, but these data exhibit several shortcomings, such as a lack of representativeness, lack of standardized laboratory practices, and underutilization of microbiology services. Despite significant progress, AMR surveillance networks in LMICs face several challenges in expansion and sustainability due to limited financial resources and technical capacity. This review summarizes the existing health infrastructure affecting the establishment of AMR surveillance programs, the burden of bacterial infections demonstrating the need for AMR surveillance, and current progress and challenges in AMR surveillance efforts in eight South and Southeast Asian countries.

Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods.

The increase of multidrug resistance and resistance to last-line antibiotics is a major global public health threat. Although surveillance programs provide useful current and historical information on the scale of the problem, the future emergence and spread of antibiotic resistance is uncertain, and quantifying this uncertainty is crucial for guiding decisions about investment in antibiotics and resistance control strategies. Mathematical and statistical models capable of projecting future rates are challenged by the paucity of data and the complexity of the emergence and spread of resistance, but experts have relevant knowledge. We use the Classical Model of structured expert judgment to elicit projections with uncertainty bounds of resistance rates through 2026 for nine pathogen-antibiotic pairs in four European countries and empirically validate the assessments against data on a set of calibration questions. The performance-weighted combination of experts in France, Spain, and the United Kingdom projected that resistance for five pairs on the World Health Organization's priority pathogens list (E. coli and K. pneumoniae resistant to third-generation cephalosporins and carbapenems and MRSA) would remain below 50% in 2026. In Italy, although upper bounds of 90% credible ranges exceed 50% resistance for some pairs, the medians suggest Italy will sustain or improve its current rates. We compare these expert projections to statistical forecasts based on historical data from the European Antimicrobial Resistance Surveillance Network (EARS-Net). Results from the statistical models differ from each other and from the judgmental forecasts in many cases. The judgmental forecasts include information from the experts about the impact of current and future shifts in infection control, antibiotic usage, and other factors that cannot be easily captured in statistical forecasts, demonstrating the potential of structured expert judgment as a tool for better understanding the uncertainty about future antibiotic resistance.

Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response.

OBJECTIVE: Definitions of virological response vary from <50 up to 1000 copies of HIV-RNA/mL. Our previous models estimate the probability of HIV drug combinations reducing the viral load to <50 copies/mL, with no indication of whether higher thresholds of response may be achieved. Here, we describe the development of models that predict absolute viral load over time. METHODS: Two sets of random forest models were developed using 50,270 treatment change episodes from more than 20 countries. The models estimated viral load at different time points following the introduction of a new regimen from variables including baseline viral load, CD4 count, and treatment history. One set also used genotypes in their predictions. Independent data sets were used for evaluation. RESULTS: Both models achieved highly significant correlations between predicted and actual viral load changes (r = 0.67-0.68, mean absolute error of 0.73-0.74 log10 copies/mL). The models produced curves of virological response over time. Using failure definitions of <100, 400, or 1000 copies/mL, but not 50 copies/mL, both models were able to identify alternative regimens they predicted to be effective for the majority of cases where the new regimen prescribed in the clinic failed. CONCLUSIONS: These models could be useful for selecting the optimum combination therapy for patients requiring a change in therapy in settings using any definition of virological response. They also give an idea of the likely response curve over time. Given that genotypes are not required, these models could be a useful addition to the HIV-TRePS system for those in resource-limited settings.

Is the efficacy of antibiotic prophylaxis for surgical procedures decreasing? Systematic review and meta-analysis of randomized control trials.

OBJECTIVE: Rising antibiotic resistance could reduce the effectiveness of antibiotics in preventing postoperative infections. We investigated trends in the efficacy of antibiotic prophylaxis regimens for 3 commonly performed surgical procedures-appendectomy, cesarean section, and colorectal surgery-and 1 invasive diagnostic procedure, transrectal prostate biopsy (TRPB). DESIGN: Systematic review and meta-analysis. METHODS: We searched PubMed and Cochrane databases (through October 31, 2017) for randomized control trials (RCTs) that measured the efficacy of antibiotic prophylaxis for 4 index procedures in preventing postoperative infections (surgical site infections [SSIs] following the 3 surgical procedures and a combination of urinary tract infections [UTIs] and sepsis following TRPB). RESULTS: Of 399 RCTs, 74 studies (9 appendectomy, 11 cesarean section, 39 colorectal surgery, and 15 TRPB) were included. Multilevel logistic regression models with random intercepts for each study showed no statistically significant increase in SSIs over time for appendectomy (adjusted odds ratio [aOR] per year, 1.03; 95% confidence interval [CI], 0.92-1.16; P=.57), cesarean section (aOR per year, 1.01; 95% CI, 0.96-1.05; P=.80), and TRPB (aOR per year, 0.95; 95% CI, 0.77-1.18; P=.67). However, there was a significant increase in SSIs proportion following colorectal surgery (aOR per year, 1.049; 95% CI, 1.03-1.07; P<.001). CONCLUSION: The efficacy of antibiotic prophylaxis agents in preventing SSIs following colorectal surgery has declined. Small number of RCTs and low infections rates limited our ability to assess true effect for simple appendectomy, cesarean section, or TRPB.

Safety and tolerability of intrathecal liposomal amphotericin B (AmBisome) for cryptococcal meningitis: a retrospective study in HIV-infected patients.

BACKGROUND: While mortality of HIV-related cryptococcal meningitis (CM) in developed countries is relatively low, in developing countries over half of patients die within 10 weeks. Current recommended therapies are often not suitable for resource-poor settings, and new shorter regimens are urgently needed. Intrathecal administration of liposomal amphotericin B (lAmB) has shown promising results in animal models. However, the safety and tolerability of intrathecal lAmB in humans are not well known. METHODS: In this retrospective observational study, we report the tolerability and safety of intrathecal lAmB in patients with CM from an HIV cohort study in India. RESULTS: In all, 18 patients were included in the analysis. Six were female and the median age was 40 years [interquartile range (IQR): 35-45]. The median CD4 count was 42 cells/µl (IQR: 19-127). Compared with a historical control group, the hazard ratio for mortality was 0.59 (95% confidence interval: 0.26-1.29). Two patients complained of transient lumbar pain in single occasion. One patient had a skin reaction to chlorhexidine, which was used as skin disinfectant. After initial improvement, one patient requested to stop lumbar punctures for the last 2 days of treatment. CONCLUSION: Intrathecal lAmB was safe and well tolerated in HIV-infected patients with CM.

Trends and factors associated with antimicrobial resistance of Acinetobacter spp. invasive isolates in Europe: A country-level analysis.

OBJECTIVES: This study investigated trends and factors associated with antimicrobial resistance (AMR) in Acinetobacter spp. in Europe. METHODS: Using data from EARS-Net, population-weighted multilevel logistic regression models with random intercepts for each participating country were performed to assess trends in Acinetobacter AMR. Countries were divided into two groups (Northern versus Southern-Eastern) using a convenient US$35000 cut-off of the 2016 gross domestic product per capita (GDPPC). RESULTS: In most countries, there were no ascending or descending trends over time. The models showed a consistent higher prevalence of AMR to aminoglycosides, carbapenems and fluoroquinolones in countries with GDPPC US$35000 and

Point prevalence surveys of antimicrobial use among eight neonatal intensive care units in India: 2016.

BACKGROUND: Information about antimicrobial use is scarce and poorly understood among neonatal intensive care units (NICUs) in India. In this study, we describe antimicrobial use in eight NICUs using four point prevalence surveys (PPSs). METHODS: As part of the Global Antimicrobial Resistance, Prescribing, and Efficacy in Neonates and Children (GARPEC) study, one-day, cross-sectional, hospital-based PPSs were conducted four times between 1 February 2016 and 28 February 2017 in eight NICUs. Using a standardized web-based electronic data entry form, detailed data were collected for babies on antimicrobials. RESULTS: A total of 403 babies were admitted to NICUs across all survey days, and 208 (51.6%) were prescribed one or more antimicrobials. Among 208 babies, 155 (74.5%) were prescribed antimicrobials for treatment of an active infection. Among 155 babies with an active infection, treatment was empiric in 109 (70.3%). Sepsis (108, 49.1%) was the most common reason for prescribing antimicrobials. Amikacin (17%) followed by meropenem (12%) were the two most commonly prescribed antimicrobials. For community-acquired sepsis, piperacillin-tazobactam (17.5%) was the most commonly prescribed drug. A combination of ampicillin and gentamicin was prescribed in only two babies (5%). CONCLUSIONS: The recommended first-line antimicrobial agents, ampicillin and gentamicin, were rarely prescribed in Indian NICUs for community acquired neonatal sepsis.

Correction: A High Malaria Prevalence Identified by PCR among Patients with Acute Undifferentiated Fever in India.

[This corrects the article DOI: 10.1371/journal.pone.0158816.].

Global forecast of antimicrobial resistance in invasive isolates of Escherichia coli and Klebsiella pneumoniae.

OBJECTIVES: To project future antimicrobial resistance (AMR) in Escherichia coli and Klebsiella pneumoniae. METHODS: Mixed linear models were constructed from a sample of countries with AMR data in the ResistanceMap database. Inverse probability weighting methods were used to account for countries without AMR data. RESULTS: The estimated prevalence of AMR in 2015 was 64.5% (95% confidence interval (CI) 42-87%) for third-generation cephalosporin-resistant (3GCR) Escherichia coli, 5.8% (95% CI 1.8-9.7%) for carbapenem-resistant (CR) E. coli, 66.9% (95% CI 47.1-86.8%) for 3GCR Klebsiella pneumoniae, and 23.4% (95% CI 7.4-39.4%) for CR K. pneumoniae. The projected AMR prevalence in 2030 was 77% (95% CI 55-99.1%) for 3GCR E. coli, 11.8% (95% CI 3.7-19.9%) for CR E. coli, 58.2% (95% CI 50.2-66.1%) for 3GCR K. pneumoniae, and 52.8% (95% CI 16.3-89.3%) for CR K. pneumoniae. CONCLUSIONS: The models suggest that third-generation cephalosporins and carbapenems could be ineffective against a sizeable proportion of infections by E. coli and K. pneumoniae in most parts of the world by 2030, supporting both the need to enhance stewardship efforts and to prioritize research and development of new antibiotics for resistant Enterobacteriaceae.

Differences in rpoB, katG and inhA mutations between new and previously treated tuberculosis cases using the GenoType MTBDRplus assay.

Drug resistance in new cases reflects primary transmission of resistant strains, while drug resistance in previously treated patients is more likely to reflect acquired resistance during previous tuberculosis (TB) treatment. In this study from a rural hospital in South India, we compared molecular differences between new and previously treated TB patients who had isoniazid or rifampicin resistance-conferring mutations using the GenoType MTBDRplus assay. Out of 2112 TB patients, 245 (11.6%) had rpoB mutations and 338 (16%) had isoniazid resistance-conferring mutations. Among patients with rpoB mutations, the proportion of new and previously treated cases with no isoniazid resistance-conferring mutations was 41.2% and 26% (P-value = 0.02; risk ratio [RR] 1.58, 95% confidence interval [CI] 1.09-2.31; risk difference [RD] 15.2%, 95% CI 18.2-28.6), respectively. Among patients with isoniazid resistance-conferring mutations, the proportion of new and previously treated cases with no rpoB mutations was 71.8% and 33.2% (P-value < 0.0001; RR 2.17, 95% CI 1.73-2.71; RD 38.7%, 95% CI 28.8-48.6), and the proportion with single inhA mutations (versus having katG mutations) was 33.1% and 20.9% (P-value = 0.012; RR 1.58, 95% CI 1.11-2.27; RD 12.2%, 95% CI 2.57-21.8), respectively. The most common resistance mutations were S531 L in the rpoB gene, S315T1 in the katG gene and C15T in the inhA gene, and there were no significant differences between new and previously treated patients. In conclusion, new TB cases were less likely to have combined isoniazid and rifampicin resistance-conferring mutations and, in cases with isoniazid resistance, they were more likely to have single inhA mutations than katG mutations. Taking into account that previous research has shown katG mutations precede mutations in the rpoB gene in most cases of rifampicin resistant TB, our results suggest a negative epistatic association between katG and rpoB mutations.

Molecular Epidemiology of Rifampicin Resistance in Mycobacterium tuberculosis Using the GeneXpert MTB/RIF Assay from a Rural Setting in India.

The Xpert MTB/RIF assay can detect mutations in rpoB gene that confer rifampicin resistance (RR) using five overlapping probes (A, B, C, D, and E). In this study, we described our experience with the Xpert assay in a rural setting in India. During the study period, 3250 samples were processed. The result was unsuccessful in 5.7% of cases. For extrapulmonary specimens, the risk of unsuccessful result was higher in tissue biopsy and stool samples. Among samples positive for Mycobacterium tuberculosis, rifampicin resistance was indeterminate in 1.2% of them. Our results and a review of the literature showed that the most frequent mutations conferring RR were located in the region of Probe E (63.6%; 95% confidence interval [CI] 56.26-70.94), followed by Probe B (15.02%; 95% CI 11.94-18.10), Probe D (13.35%; 95% CI 10.01-16.69), Probe A (4.73%; 95% CI 1.92-7.54), and Probe C (1.61%; 95% CI 0.67-2.54). Although the high cost of the cartridges precluded using the Xpert assay for routine diagnosis of tuberculosis, our results demonstrate that the assay can be used to diagnose RR-tuberculosis in rural areas with limited laboratory infrastructure and could be a convenient tool to investigate the molecular epidemiology of RR in resource-limited settings.

Acute undifferentiated fever in India: a multicentre study of aetiology and diagnostic accuracy.

BACKGROUND: The objectives of this study were to determine the proportion of malaria, bacteraemia, scrub typhus, leptospirosis, chikungunya and dengue among hospitalized patients with acute undifferentiated fever in India, and to describe the performance of standard diagnostic methods. METHODS: During April 2011-November 2012, 1564 patients aged ≥5 years with febrile illness for 2-14 days were consecutively included in an observational study at seven community hospitals in six states in India. Malaria microscopy, blood culture, Dengue rapid NS1 antigen and IgM Combo test, Leptospira IgM ELISA, Scrub typhus IgM ELISA and Chikungunya IgM ELISA were routinely performed at the hospitals. Second line testing, Dengue IgM capture ELISA (MAC-ELISA), Scrub typhus immunofluorescence (IFA), Leptospira Microscopic Agglutination Test (MAT), malaria PCR and malaria immunochromatographic rapid diagnostic test (RDT) Parahit Total™ were performed at the coordinating centre. Convalescence samples were not available. Case definitions were as follows: Leptospirosis: Positive ELISA and positive MAT. Scrub typhus: Positive ELISA and positive IFA. Dengue: Positive RDT and/or positive MAC-ELISA. Chikungunya: Positive ELISA. Bacteraemia: Growth in blood culture excluding those defined as contaminants. Malaria: Positive genus-specific PCR. RESULTS: Malaria was diagnosed in 17% (268/1564) and among these 54% had P. falciparum. Dengue was diagnosed in 16% (244/1564). Bacteraemia was found in 8% (124/1564), and among these Salmonella typhi or S. paratyphi constituted 35%. Scrub typhus was diagnosed in 10%, leptospirosis in 7% and chikungunya in 6%. Fulfilling more than one case definition was common, most frequent in chikungunya where 26% (25/98) also had positive dengue test. CONCLUSIONS: Malaria and dengue were the most common causes of fever in this study. A high overlap between case definitions probably reflects high prevalence of prior infections, cross reactivity and subclinical infections, rather than high prevalence of coinfections. Low accuracy of routine diagnostic tests should be taken into consideration when approaching the patient with acute undifferentiated fever in India.

Impact of Antibiotic Policy on Antibiotic Consumption in a Neonatal Intensive Care Unit in India.

OBJECTIVE: To study the impact of initiating antibiotic policy on antibiotic consumption in a neonatal intensive care unit (NICU). METHODS: This retrospective study was conducted between January, 2013 and December, 2014 in a 30 bed NICU. The antibiotic policy for neonatal sepsis was initiated on January 1st, 2014. The overall antibiotic consumption (Daily Defined Dose [DDD] per 100 patient-days), one year before and one year after the initiation of antibiotic policy was evaluated using interrupted time-series analysis. RESULTS: There was no significant change (12.47 vs. 11.47 DDD/100 patient-days; P = 0.57) in overall antibiotic consumption. A significant increase in the proportion of patients on first-line agents (ampicillin and gentamicin) (66% (n=449) vs. 84% (n=491); P <0.001) and significant decrease in consumption of third generation cephalosporins (1.45 vs. 0.45 DDD/100 patient-days; P =0.002) was observed. CONCLUSION: Antibiotic policy increased the use of first-line agents and decreased the consumption of third generation cephalosporins.