Risk factors for community-acquired bacterial infection among young infants in South Asia: a longitudinal cohort study with nested case-control analysis.

OBJECTIVE: Risk factors predisposing infants to community-acquired bacterial infections during the first 2 months of life are poorly understood in South Asia. Identifying risk factors for infection could lead to improved preventive measures and antibiotic stewardship. METHODS: Five sites in Bangladesh, India and Pakistan enrolled mother-child pairs via population-based pregnancy surveillance by community health workers. Medical, sociodemographic and epidemiological risk factor data were collected. Young infants aged 0-59 days with signs of possible serious bacterial infection (pSBI) and age-matched controls provided blood and respiratory specimens that were analysed by blood culture and real-time PCR. These tests were used to build a Bayesian partial latent class model (PLCM) capable of attributing the probable cause of each infant's infection in the ANISA study. The collected risk factors from all mother-child pairs were classified and analysed against the PLCM using bivariate and stepwise logistic multivariable regression modelling to determine risk factors of probable bacterial infection. RESULTS: Among 63 114 infants born, 14 655 were assessed and 6022 had signs of pSBI; of these, 81% (4859) provided blood samples for culture, 71% (4216) provided blood samples for quantitative PCR (qPCR) and 86% (5209) provided respiratory qPCR samples. Risk factors associated with bacterial-attributed infections included: low (relative risk (RR) 1.73, 95% credible interval (CrI) 1.42 to 2.11) and very low birth weight (RR 5.77, 95% CrI 3.73 to 8.94), male sex (RR 1.27, 95% CrI 1.07 to 1.52), breathing problems at birth (RR 2.50, 95% CrI 1.96 to 3.18), premature rupture of membranes (PROMs) (RR 1.27, 95% CrI 1.03 to 1.58) and being in the lowest three socioeconomic status quintiles (first RR 1.52, 95% CrI 1.07 to 2.16; second RR 1.41, 95% CrI 1.00 to 1.97; third RR 1.42, 95% CrI 1.01 to 1.99). CONCLUSION: Distinct risk factors: birth weight, male sex, breathing problems at birth and PROM were significantly associated with the development of bacterial sepsis across South Asian community settings, supporting refined clinical discernment and targeted use of antimicrobials.

Infectious aetiologies of neonatal illness in south Asia classified using WHO definitions: a primary analysis of the ANISA study.

BACKGROUND: Globally, neonatal mortality accounts for almost half of all deaths in children younger than 5 years. Aetiological agents of neonatal infection are difficult to identify because the clinical signs are non-specific. Using data from the Aetiology of Neonatal Infections in south Asia (ANISA) cohort, we aimed to describe the spectrum of infectious aetiologies of acute neonatal illness categorised post-hoc using the 2015 WHO case definitions of critical illness, clinical severe infection, and fast breathing only. METHODS: Eligible infants were aged 0-59 days with possible serious bacterial infection and healthy infants enrolled in the ANISA study in Bangladesh, India, and Pakistan. We applied a partial latent class Bayesian model to estimate the prevalence of 27 pathogens detectable on PCR, pathogens detected by blood culture only, and illness not attributed to any infectious aetiology. Infants with at least one clinical specimen available were included in the analysis. We assessed the prevalence of these aetiologies according to WHO's case definitions of critically ill, clinical severe infection, and infants with late onset, isolated fast breathing. For the clinical severe definition, we compared the prevalence of signs by bacterial versus viral aetiology. FINDINGS: There were 934 infants (992 episodes) in the critically ill category, 3769 (4000 episodes) in the clinical severe infection category, and 738 (771 episodes) in the late-onset isolated fast breathing category. We estimated the proportion of illness attributable to bacterial infection was 32·7% in infants in the critically ill group, 15·6% in the clinical severe infection group, and 8·8% among infants with late-onset isolated fast breathing group. An infectious aetiology was not identified in 58-82% of infants in these categories. Among 4000 episodes of clinical severe infection, those with bacterial versus viral attribution had higher proportions of hypothermia, movement only when stimulated, convulsions, and poor feeding. INTERPRETATION: Our modelled results generally support the revised WHO case definitions, although a revision of the most severe case definition could be considered. Clinical criteria do not clearly differentiate between young infants with and without infectious aetiologies. Our results highlight the need for improved point-of-care diagnostics, and further study into neonatal deaths and episodes with no identified aetiology, to ensure antibiotic stewardship and targeted interventions. FUNDING: The Bill and Melinda Gates Foundation.

Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan.

BACKGROUND: Puerperal sepsis (PP sepsis) is a leading cause of maternal mortality globally. The majority of maternal sepsis cases and deaths occur at home and remain undiagnosed and under-reported. In this paper, we present findings from a nested case-control study in Bangladesh and Pakistan which sought to assess the validity of community health worker (CHW) identification of PP sepsis using a clinical diagnostic algorithm with physician assessment and classification used as the gold standard. METHODS: Up to 300 postpartum women were enrolled in each of the 3 sites 1) Sylhet, Bangladesh (n = 278), 2) Karachi, Pakistan (n = 278) and 3) Matiari, Pakistan (n = 300). Index cases were women with suspected PP Sepsis as diagnosed by CHWs clinical assessment of one or more of the following signs and symptoms: temperature (recorded fever ≥38.1°C, reported history of fever, lower abdominal or pelvic pain, and abnormal or foul-smelling discharge. Each case was matched with 3 control women who were diagnosed by CHWs to have no infection. Cases and controls were assessed by trained physicians using the same algorithm implemented by the CHWs. Using physician assessment as the gold standard, Kappa statistics for reliability and diagnostic validity (sensitivity and specificity) are presented with 95% CI. Sensitivity and specificity were adjusted for verification bias. RESULTS: The adjusted sensitivity and specificity of CHW identification of PP sepsis across all sites was 82% (Karachi: 78%, Matiari: 78%, Sylhet: 95%) and 90% (Karachi: 95%, Matiari: 85%, Sylhet: 90%) respectively. CHW-Physician agreement was highest for moderate and high fever (range across sites: K = 0.84-0.97) and lowest for lower abdominal pain (K = 0.30-0.34). The clinical signs and symptoms for other conditions were reported infrequently, however, the CHW-physician agreement was high for all symptoms except severe headache/ blurred vision (K = 0.13-0.38) and reported "lower abdominal pain without fever" (K = 0.39-0.57). CONCLUSION: In all sites, CHWs with limited training were able to identify signs and symptoms and to classify cases of PP sepsis with high validity. Integrating postpartum infection screening into existing community-based platforms and post-natal visits is a promising strategy to monitor women for PP sepsis - improving delivery of cohesive maternal and child health care in low resource settings.

Causes and incidence of community-acquired serious infections among young children in south Asia (ANISA): an observational cohort study.

BACKGROUND: More than 500 000 neonatal deaths per year result from possible serious bacterial infections (pSBIs), but the causes are largely unknown. We investigated the incidence of community-acquired infections caused by specific organisms among neonates in south Asia. METHODS: From 2011 to 2014, we identified babies through population-based pregnancy surveillance at five sites in Bangladesh, India, and Pakistan. Babies were visited at home by community health workers up to ten times from age 0 to 59 days. Illness meeting the WHO definition of pSBI and randomly selected healthy babies were referred to study physicians. The primary objective was to estimate proportions of specific infectious causes by blood culture and Custom TaqMan Array Cards molecular assay (Thermo Fisher, Bartlesville, OK, USA) of blood and respiratory samples. FINDINGS: 6022 pSBI episodes were identified among 63 114 babies (95·4 per 1000 livebirths). Causes were attributed in 28% of episodes (16% bacterial and 12% viral). Mean incidence of bacterial infections was 13·2 (95% credible interval [CrI] 11·2-15·6) per 1000 livebirths and of viral infections was 10·1 (9·4-11·6) per 1000 livebirths. The leading pathogen was respiratory syncytial virus (5·4, 95% CrI 4·8-6·3 episodes per 1000 livebirths), followed by Ureaplasma spp (2·4, 1·6-3·2 episodes per 1000 livebirths). Among babies who died, causes were attributed to 46% of pSBI episodes, among which 92% were bacterial. 85 (83%) of 102 blood culture isolates were susceptible to penicillin, ampicillin, gentamicin, or a combination of these drugs. INTERPRETATION: Non-attribution of a cause in a high proportion of patients suggests that a substantial proportion of pSBI episodes might not have been due to infection. The predominance of bacterial causes among babies who died, however, indicates that appropriate prevention measures and management could substantially affect neonatal mortality. Susceptibility of bacterial isolates to first-line antibiotics emphasises the need for prudent and limited use of newer-generation antibiotics. Furthermore, the predominance of atypical bacteria we found and high incidence of respiratory syncytial virus indicated that changes in management strategies for treatment and prevention are needed. Given the burden of disease, prevention of respiratory syncytial virus would have a notable effect on the overall health system and achievement of Sustainable Development Goal. FUNDING: Bill & Melinda Gates Foundation.

Development and Implementation of the ANISA Labeling and Tracking System for Biological Specimens.

BACKGROUND: The Aetiology of Neonatal Infection in South Asia study is a major effort to determine the causes of community-acquired neonatal infections. It involves collecting epidemiological, clinical and laboratory data in 5 sites in 3 countries. The field and laboratory research operations are streamlined to maintain integrity and validity while operating in complex and variable environments. We developed a customized system for implementation of labeling and tracking biological specimen in both rural and urban community settings and integrated into all study laboratories. This report outlines the development and implementation of this harmonized system. DESIGN: The system links and tracks specimens with study participants and results generated from laboratory tests. Each biological specimen and its aliquots are tracked through key steps of the protocol, from collection and transport through molecular testing and long-term storage. CONCLUSION: The labeling and tracking system allows for standardization and monitoring of laboratory processes and improves the accuracy of Aetiology of Neonatal Infection in South Asia data. Community-based scientific projects could greatly benefit by adopting this, or a similar, system for specimen tracking and data linkage.

Using Text Messages for Critical Real-time Data Capture in the ANISA Study.

BACKGROUND: The Aetiology of Neonatal Infection in South Asia (ANISA) study takes advantage of text messaging technology to record information required for randomizing the study population into a control subcohort. The text message system is also used for monitoring various study activities. METHODS: When a child-health worker registers a newborn in the study, she sends a text message to a database server containing the study identification number and newborn's age at the time of registration. For each possible serious bacterial infection case, a study physician also sends a text message to the same server with the age of the young infant at the time of illness assessment. Using this information, a computer-based algorithm randomizes the newborn into a control subcohort. Text messages are also sent to alert the study physicians and study supervisors of a possible serious bacterial infection case being referred to health-care facilities. Phlebotomists working at remote specimen collection sites send text messages to the site laboratory personnel before sending the specimens through porters. DISCUSSION: Real-time data entry and monitoring are challenging for any population-based study conducted in remote areas. Our text messaging system provides an opportunity to overcome this barrier where availability of data entry facilities is limited.

Methods Employed in Monitoring and Evaluating Field and Laboratory Systems in the ANISA Study: Ensuring Quality.

BACKGROUND: The Aetiology of Neonatal Infection in South Asia (ANISA) study maintains operations in Bangladesh, India and Pakistan. We developed and deployed a multilayered monitoring system to measure performance indicators of field sites and laboratory operations. This system allows for real-time provision of feedback to study site teams and project stakeholders. The goal of this monitoring and evaluation system is to promote optimal performance and consistency in protocol application at all sites over the course of the study, thereby safeguarding the validity of project findings. This article describes each of the interdependent monitoring layers that were conceptualized, developed and employed by the ANISA coordination team. METHODS: Layers of monitoring include site-level, central and database-related activities along with periodic site visitation. We provide a number of real-world examples of how feedback from the ANISA monitoring system directly informs a number of crucial decisions and course corrections during the project. CONCLUSION: The ANISA monitoring system represents a transparent, understandable and practical resource for development of project monitoring systems in complex multisite health research projects.

Understanding Bacterial Isolates in Blood Culture and Approaches Used to Define Bacteria as Contaminants: A Literature Review.

BACKGROUND: Interpretation of blood culture isolates is challenging due to a lack of standard methodologies for identifying contaminants. This problem becomes more complex when the specimens are from sick young infants, as a wide range of bacteria can cause illness among this group. METHODS: We used 43 key words to find articles published between 1970 and 2011 on blood culture isolates and possible contaminants in the PubMed database. Experts were also consulted to obtain other relevant articles. Selection of articles followed systematic methods considering opinions from more than 1 reviewer. RESULTS: After reviewing the titles of 3869 articles extracted from the database, we found 307 relevant to our objective. Based on the abstracts, 42 articles were selected for the literature review. In addition, we included 7 more articles based on cross-references and expert advice. The most common methods for differentiating blood culture isolates were multiple blood cultures from the same subject, antibiograms and molecular testing. Streptococcus pneumoniae, Hemophilus influenzae, Neisseria meningitidis and group A and B streptococcus were always considered as pathogens, whereas Bacillus sp., Diphtheroids, Propionibacterium and Micrococcus were commonly regarded as contaminants. Coagulase-negative staphylococci were the most frequent isolates and usually reported as contaminants unless the patient had a specific condition, such as long-term hospitalization or use of invasive devices (catheters). CONCLUSIONS: Inaccurate interpretation of blood culture may falsely guide treatment and also has long-term policy implications. The combination of clinical and microbiological knowledge, patient's clinical history and laboratory findings are essential for appropriate interpretation of blood culture.

Classification of Blood Culture Isolates Into Contaminants and Pathogens on the Basis of Clinical and Laboratory Data.

The multisite community-based study, Aetiology of Neonatal Infection in South Asia (ANISA), uses blood culture as the gold standard for identifying the etiology of neonatal infection. Considering the importance of this age-old diagnostic tool and the risk of contamination, ANISA has employed rigorous measures to prevent contamination at all stages of blood collection, processing and culture. Because contamination may still occur, an independent expert group evaluates the routinely collected clinical and laboratory data to determine whether a blood culture isolate is a contaminant or a true pathogen. This article describes the methodology used by ANISA to determine whether a blood culture isolate is likely to be a true pathogen or a contaminant in neonatal sepsis.

Infection Surveillance Protocol for a Multicountry Population-based Study in South Asia to Determine the Incidence, Etiology and Risk Factors for Infections Among Young Infants of 0 to 59 Days Old.

BACKGROUND: Insufficient knowledge of the etiology and risk factors for community-acquired neonatal infection in low-income countries is a barrier to designing appropriate intervention strategies for these settings to reduce the burden and treatment of young infant infection. To address these gaps, we are conducting the Aetiology of Neonatal Infection in South Asia (ANISA) study among young infants in Bangladesh, India and Pakistan. The objectives of ANISA are to establish a comprehensive surveillance system for registering newborns in study catchment areas and collecting data on bacterial and viral etiology and associated risk factors for infections among young infants aged 0-59 days. METHODS: We are conducting active surveillance in 1 peri-urban and 4 rural communities. During 2 years of surveillance, we expect to enroll an estimated 66,000 newborns within 7 days of their birth and to follow-up them until 59 days of age. Community health workers visit each young infant in the study area 3 times in the first week of life and once a week thereafter. During these visits, community health workers assess the newborns using a clinical algorithm and refer young infants with signs of suspected infection to health care facilities where study physicians reassess them and provide care if needed. On physician confirmation of suspected infection, blood and respiratory specimens are collected and tested to identify the etiologic agent. CONCLUSIONS: ANISA is one of the largest initiatives ever undertaken to understand the etiology of young infant infection in low-income countries. The data generated from this surveillance will help guide evidence-based decision making to improve health care in similar settings.

Centralized Data Management in a Multicountry, Multisite Population-based Study.

BACKGROUND: A centralized data management system was developed for data collection and processing for the Aetiology of Neonatal Infection in South Asia (ANISA) study. ANISA is a longitudinal cohort study involving neonatal infection surveillance and etiology detection in multiple sites in South Asia. The primary goal of designing such a system was to collect and store data from different sites in a standardized way to pool the data for analysis. METHODS: We designed the data management system centrally and implemented it to enable data entry at individual sites. This system uses validation rules and audit that reduce errors. The study sites employ a dual data entry method to minimize keystroke errors. They upload collected data weekly to a central server via internet to create a pooled central database. Any inconsistent data identified in the central database are flagged and corrected after discussion with the relevant site. The ANISA Data Coordination Centre in Dhaka provides technical support for operations, maintenance and updating the data management system centrally. Password-protected login identifications and audit trails are maintained for the management system to ensure the integrity and safety of stored data. CONCLUSION: Centralized management of the ANISA database helps to use common data capture forms (DCFs), adapted to site-specific contextual requirements. DCFs and data entry interfaces allow on-site data entry. This reduces the workload as DCFs do not need to be shipped to a single location for entry. It also improves data quality as all collected data from ANISA goes through the same quality check and cleaning process.

Impact of fetal and neonatal malnutrition on the onset of puberty and associated noncommunicable disease risks.

BACKGROUND: Fetal and neonatal malnutrition impacts the timing of the onset of puberty. The timing of puberty onset has been shown to be a rough indicator of noncommunicable disease (NCD) risk. Recent advances in understanding the various inter-related neurochemical and genetic controls underpinning puberty onset have shed new light on these interesting and important phenomena. These studies have suggested that developmental trajectory is set very early by epigenetic mechanisms that serve to adjust phenotype to environment. OBJECTIVE: The aims of this article are to review the most recent research into the proximate mechanisms that initiate puberty; to explore how the activation of those mechanisms could be affected by nutritional cues received during fetal and neonatal life; and, finally, to briefly explore the ramifications for public health. METHODS: An extensive literature review was performed using PubMed (1950 to September 2010) and Google Scholar (1980 to September 2010) using the search terms "puberty onset", "perinatal", and "neonatal malnutrition". English language, original research, and review articles were examined; pertinent citations from these articles were also assessed. RESULTS: Literature detailing biochemical pathways and evolutionary explanations of human puberty itself led quickly to a noteworthy connection between neonatal malnutrition, puberty onset, and NCD risk. A strong connection was found between maternal malnutrition during critical windows (followed by catch-up growth in childhood) and an accelerated onset of puberty. Children subject to early nutritional insult not only are likely to undergo puberty earlier but also show an increase in their risk of developing NCDs in later life. Several authors have suggested that this relationship may show potential as an early proxy indicator of susceptibility to these types of diseases, which are an increasing concern in both affluent and developing countries. CONCLUSIONS: More attention should be paid to fetal and neonatal nutrition and puberty onset if we are to meaningfully curb the troubling growth of NCDs now and in the future. Efforts to improve maternal conditions among vulnerable poor groups as well as more affluent groups worldwide should be explored, especially among groups undergoing rapid nutritional transition.

Monitoring the adequacy of catch-up growth among moderately malnourished children receiving home-based therapy using mid-upper arm circumference in southern Malawi.

Each year more children die from moderate than severe malnutrition. Home-based therapy (HBT) using Ready-to-Use Therapeutic Foods (RUTF) has proven to successfully treat uncomplicated childhood malnutrition on an outpatient basis. This study attempts to discern if Mid-upper Arm Circumference (MUAC) measurements collected by community-based health aides have the potential to monitor changes in nutritional status among moderately malnourished Malawian children while undergoing HBT using RUTF. Retrospective analysis was performed using the anthropometric data of 1,904 moderately malnourished children during treatment using RUTF. Changes in MUAC and changes in overall weight at 1 and 2 months of treatment were compared. Various geometric relationships were explored between the measures to find the most direct relationship. Models were developed to investigate anthropometric changes in children undergoing treatment. These data reveal that the correlation between the changes in MUAC and changes in weight over the course of treatment is statistically significant (P < 0.0001). The relationship between a child's change in MUAC and their change in weight is influenced by several cofactors related to their initial presentation. The power of change in weight to predict change in MUAC increases at the second month of treatment. Statistical modelling improves if children under the age of 12 months are omitted. Changes in MUAC reflect changes in overall body mass among moderately malnourished children undergoing HBT using RUTF suggesting that performance could possibly be monitored by village health aides in order to monitor a child's performance on feeding programmes in low resource settings.