Patterns of antibiotic use, pathogens, and prediction of mortality in hospitalized neonates and young infants with sepsis: A global neonatal sepsis observational cohort study (NeoOBS).

BACKGROUND: There is limited data on antibiotic treatment in hospitalized neonates in low- and middle-income countries (LMICs). We aimed to describe patterns of antibiotic use, pathogens, and clinical outcomes, and to develop a severity score predicting mortality in neonatal sepsis to inform future clinical trial design. METHODS AND FINDINGS: Hospitalized infants <60 days with clinical sepsis were enrolled during 2018 to 2020 by 19 sites in 11 countries (mainly Asia and Africa). Prospective daily observational data was collected on clinical signs, supportive care, antibiotic treatment, microbiology, and 28-day mortality. Two prediction models were developed for (1) 28-day mortality from baseline variables (baseline NeoSep Severity Score); and (2) daily risk of death on IV antibiotics from daily updated assessments (NeoSep Recovery Score). Multivariable Cox regression models included a randomly selected 85% of infants, with 15% for validation. A total of 3,204 infants were enrolled, with median birth weight of 2,500 g (IQR 1,400 to 3,000) and postnatal age of 5 days (IQR 1 to 15). 206 different empiric antibiotic combinations were started in 3,141 infants, which were structured into 5 groups based on the World Health Organization (WHO) AWaRe classification. Approximately 25.9% (n = 814) of infants started WHO first line regimens (Group 1-Access) and 13.8% (n = 432) started WHO second-line cephalosporins (cefotaxime/ceftriaxone) (Group 2-"Low" Watch). The largest group (34.0%, n = 1,068) started a regimen providing partial extended-spectrum beta-lactamase (ESBL)/pseudomonal coverage (piperacillin-tazobactam, ceftazidime, or fluoroquinolone-based) (Group 3-"Medium" Watch), 18.0% (n = 566) started a carbapenem (Group 4-"High" Watch), and 1.8% (n = 57) a Reserve antibiotic (Group 5, largely colistin-based), and 728/2,880 (25.3%) of initial regimens in Groups 1 to 4 were escalated, mainly to carbapenems, usually for clinical deterioration (n = 480; 65.9%). A total of 564/3,195 infants (17.7%) were blood culture pathogen positive, of whom 62.9% (n = 355) had a gram-negative organism, predominantly Klebsiella pneumoniae (n = 132) or Acinetobacter spp. (n = 72). Both were commonly resistant to WHO-recommended regimens and to carbapenems in 43 (32.6%) and 50 (71.4%) of cases, respectively. MRSA accounted for 33 (61.1%) of 54 Staphylococcus aureus isolates. Overall, 350/3,204 infants died (11.3%; 95% CI 10.2% to 12.5%), 17.7% if blood cultures were positive for pathogens (95% CI 14.7% to 21.1%, n = 99/564). A baseline NeoSep Severity Score had a C-index of 0.76 (0.69 to 0.82) in the validation sample, with mortality of 1.6% (3/189; 95% CI: 0.5% to 4.6%), 11.0% (27/245; 7.7% to 15.6%), and 27.3% (12/44; 16.3% to 41.8%) in low (score 0 to 4), medium (5 to 8), and high (9 to 16) risk groups, respectively, with similar performance across subgroups. A related NeoSep Recovery Score had an area under the receiver operating curve for predicting death the next day between 0.8 and 0.9 over the first week. There was significant variation in outcomes between sites and external validation would strengthen score applicability. CONCLUSION: Antibiotic regimens used in neonatal sepsis commonly diverge from WHO guidelines, and trials of novel empiric regimens are urgently needed in the context of increasing antimicrobial resistance (AMR). The baseline NeoSep Severity Score identifies high mortality risk criteria for trial entry, while the NeoSep Recovery Score can help guide decisions on regimen change. NeoOBS data informed the NeoSep1 antibiotic trial (ISRCTN48721236), which aims to identify novel first- and second-line empiric antibiotic regimens for neonatal sepsis. TRIAL REGISTRATION: ClinicalTrials.gov, (NCT03721302).

Viral load detection using dried blood spots in a cohort of HIV-1-infected children in Uganda: correlations with clinical and immunological criteria for treatment failure.

Correlations between clinical/immunological treatment failure and viral load (VL) detected by dried blood spot (DBS) sampling were explored in HIV-1-infected children in Uganda. Of 104 children on combined antiretroviral treatment (cART), 12.5% experienced clinical and/or immunological failure, while 28.8%, 44.2%, and 26.9% had VLs of <1,000, 1,000 to 5,000, and >5,000 copies/ml, respectively. Clinical/immunological failure poorly predicted virological failure.

Challenges in the Implementation of the NeoOBS Study, a Global Pragmatic Observational Cohort Study, to Investigate the Aetiology and Management of Neonatal Sepsis in the Hospital Setting.

Neonatal sepsis is a significant cause of mortality and morbidity in low- and middle-income countries. To deliver high-quality data studies and inform future trials, it is crucial to understand the challenges encountered when managing global multi-centre research studies and to identify solutions that can feasibly be implemented in these settings. This paper provides an overview of the complexities faced by diverse research teams in different countries and regions, together with actions implemented to achieve pragmatic study management of a large multi-centre observational study of neonatal sepsis. We discuss specific considerations for enrolling sites with different approval processes and varied research experience, structures, and training. Implementing a flexible recruitment strategy and providing ongoing training were necessary to overcome these challenges. We emphasize the attention that must be given to designing the database and monitoring plans. Extensive data collection tools, complex databases, tight timelines, and stringent monitoring arrangements can be problematic and might put the study at risk. Finally, we discuss the complexities added when collecting and shipping isolates and the importance of having a robust central management team and interdisciplinary collaborators able to adapt easily and make swift decisions to deliver the study on time and to target. With pragmatic approaches, appropriate training, and good communication, these challenges can be overcome to deliver high-quality data from a complex study in challenging settings through a collaborative research network.

Measuring research capacity development in healthcare workers: a systematic review.

OBJECTIVES: A key barrier in supporting health research capacity development (HRCD) is the lack of empirical measurement of competencies to assess skills and identify gaps in research activities. An effective tool to measure HRCD in healthcare workers would help inform teams to undertake more locally led research. The objective of this systematic review is to identify tools measuring healthcare workers' individual capacities to conduct research. DESIGN: Systematic review and narrative synthesis using Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist for reporting systematic reviews and narrative synthesis and the Critical Appraisals Skills Programme (CASP) checklist for qualitative studies. DATA SOURCES: 11 databases were searched from inception to 16 January 2020. The first 10 pages of Google Scholar results were also screened. ELIGIBILITY CRITERIA: We included papers describing the use of tools/to measure/assess HRCD at an individual level among healthcare workers involved in research. Qualitative, mixed and quantitative methods were all eligible. Search was limited to English language only. DATA EXTRACTION AND SYNTHESIS: Two authors independently screened and reviewed studies using Covidence software, and performed quality assessments using the extraction log validated against the CASP qualitative checklist. The content method was used to define a narrative synthesis. RESULTS: The titles and abstracts for 7474 unique records were screened and the full texts of 178 references were reviewed. 16 papers were selected: 7 quantitative studies; 1 qualitative study; 5 mixed methods studies; and 3 studies describing the creation of a tool. Tools with different levels of accuracy in measuring HRCD in healthcare workers at the individual level were described. The Research Capacity and Culture tool and the 'Research Spider' tool were the most commonly defined. Other tools designed for ad hoc interventions with good generalisability potential were identified. Three papers described health research core competency frameworks. All tools measured HRCD in healthcare workers at an individual level with the majority adding a measurement at the team/organisational level, or data about perceived barriers and motivators for conducting health research. CONCLUSIONS: Capacity building is commonly identified with pre/postintervention evaluations without using a specific tool. This shows the need for a clear distinction between measuring the outcomes of training activities in a team/organisation, and effective actions promoting HRCD. This review highlights the lack of globally applicable comprehensive tools to provide comparable, standardised and consistent measurements of research competencies. PROSPERO REGISTRATION NUMBER: CRD42019122310.

Implementation and Operational Research: Implementation of the WHO 2011 Recommendations for Isoniazid Preventive Therapy (IPT) in Children Living With HIV/AIDS: A Ugandan Experience.

BACKGROUND: Intensified tuberculosis (TB) case finding and isoniazid preventive therapy (IPT) are strongly recommended for children who are HIV infected. Data are needed to assess the feasibility of the WHO 2011 intensified tuberculosis case finding/IPT clinical algorithm. METHODS: Children who are HIV infected and attending Nsambya Home Care at Nsambya Hospital, Uganda, were screened for TB following WHO recommendations. IPT was given for 6 months after excluding TB. Factors associated with time to IPT initiation were investigated by multivariate Cox proportional hazard regression. Health care workers were interviewed on reasons for delay in IPT initiation. RESULTS: Among the 899 (49% male) children with HIV, 529 (58.8%) were screened for TB from January 2011 to February 2013. Children with active TB were 36/529 (6.8%), 24 (4.5%) were lost to follow-ups and 280 (52.9%) started IPT, 86/280 (30.7%) within 3 months of TB screening and 194/280 (69.3%) thereafter. Among the 529 children screened for TB, longer time to IPT initiation was independently associated with cough at TB screening (hazard ratio 0.62, P = 0.02, 95% confidence interval: 0.41 to 0.94). Four children (1% of those starting treatments) interrupted IPT because of a 5-fold increase in liver function measurements. In the survey, Health care workers reported poor adherence to antiretroviral therapy, poor attendance to periodic HIV follow-ups, and pill burden as the 3 main reasons to delay IPT. CONCLUSION: In resource-constrained settings, considerable delays in IPT initiation may occur, particularly in children with HIV who are presenting with cough at TB screening. The good safety profile of isoniazid in antiretroviral-therapy-experienced children provides further support to IPT implementation in this population.

Predictors of Treatment Failure in HIV-Positive Children Receiving Combination Antiretroviral Therapy: Cohort Data From Mozambique and Uganda.

BACKGROUND: Delays detecting treatment failure and switching to second-line combination antiretroviral therapy (cART) are often observed in human immunodeficiency virus (HIV)-infected children of low-middle-income countries (LMIC). METHODS: An observational study included HIV-infected children attending the Beira Central Hospital (Mozambique) and the Nsambya Hospital, Home Care Department (Uganda) evaluated clinical and immunological failure according to World Health Organization (WHO) 2006 guidelines. Baseline predictors for cART failure and for drug substitution were explored in unadjusted and adjusted Cox proportional hazard models. RESULTS: Two hundred eighteen of 740 children with at least 24 weeks follow-up experienced treatment failure (29%; 95% confidence interval [CI] 26-33), with crude incidence of 20.0 events per 100 person-years (95% CI 17.5-22.9). Having tuberculosis co-infection or WHO stage 4, or starting a nontriple cART significantly increased risk of failure. Two hundred two of 769 (26.3%) children receiving cART substituted drug(s), with crude incidence of 15.4 events per 100 person-years (95% CI 13.4-17.7). Drug toxicity (18.3%), drug availability (17.3%), and tuberculosis drugs interaction (52, 25.7%) were main reported reasons, while only 9 (4%) patients switched cART for clinical or immunological failure. Children starting lamivudine-zidovudine-nevirapine or lamivudine-stavudine-efavirenz or lamivudine-zidovudine-efavirenz were more likely to have substitute drugs. Increased substitution was found in children with mild immunosuppression and tuberculosis co-infection at cART initiation as well as poor adherence before drug substitution. CONCLUSIONS: Considerable delay in switching to second-line cART may occur despite an observed high rate of failure. Factors including WHO clinical stage and tuberculosis co-infection should be evaluated before starting cART. Toxicity and drug adherence should be monitored to minimize drug substitution in LMIC.