| Literature DB >> 29382352 |
Mercedes Bonet1, Joao Paulo Souza2,3, Edgardo Abalos4, Bukola Fawole5, Marian Knight6, Seni Kouanda7, Pisake Lumbiganon8, Ashraf Nabhan9, Ruta Nadisauskiene10, Vanessa Brizuela11,12, A Metin Gülmezoglu11.
Abstract
BACKGROUND: Maternal sepsis is the underlying cause of 11% of all maternal deaths and a significant contributor to many deaths attributed to other underlying conditions. The effective prevention, early identification and adequate management of maternal and neonatal infections and sepsis can contribute to reducing the burden of infection as an underlying and contributing cause of morbidity and mortality. The objectives of the Global Maternal Sepsis Study (GLOSS) include: the development and validation of identification criteria for possible severe maternal infection and maternal sepsis; assessment of the frequency of use of a core set of practices recommended for prevention, early identification and management of maternal sepsis; further understanding of mother-to-child transmission of bacterial infection; assessment of the level of awareness about maternal and neonatal sepsis among health care providers; and establishment of a network of health care facilities to implement quality improvement strategies for better identification and management of maternal and early neonatal sepsis.Entities:
Keywords: Early neonatal sepsis; Infectious pregnancy complication; Maternal sepsis
Mesh:
Year: 2018 PMID: 29382352 PMCID: PMC5791346 DOI: 10.1186/s12978-017-0437-8
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Fig. 1Countries that were invited to participate in the Global Maternal Sepsis Study and Awareness Campaign. Disclaimer: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the World Health Organization or the Global Maternal Sepsis Study researchers
Reference list of infections associated with systemic repercussions during pregnancy, childbirth, post abortion and postpartum period (modified from ICD-MM, the WHO Application of ICD-10 to deaths during pregnancy, childbirth, and the puerperium)
| Pregnancy-related infection (ICD-MM Group 4) | |
| • Acute pyelonephritis | |
| Maternal infectious and parasitic diseases classifiable elsewhere but complicating pregnancy, childbirth and the puerperium | |
| • Pneumonia |
Summary of candidate predictors (Adapted from Barton and Sibai [35], Edwards 2015 [25], Albright et al. [36])
| Maternal clinical findings | |
|
| |
| Maternal Laboratory Findings | |
|
|
Fig. 2Estimated sample size. In grey boxes women to be included in the study.150 geographical areas with 2,000,000 inhabitants, with global birth rate of 19.6 live births per 1000; 2Two million live births per year × mean gestation period (40 weeks/52 weeks of year), not adjusted to account for abortions, miscarriages or stillbirths;3 Includes pregnancy related infection and infections complicating pregnancy, childbirth and the postpartum period (ICD-MM). Regardless of cause of admission (e.g. childbirth) and whether primary or secondary infection (e.g. postoperative, aspiration pneumonia); 4 Based on WHO Multi-country Study 2010–2011 [37]
Estimates of number of women expected to be included during 1 week according to volume of health facilities (number of live births/year)
| Number of women | ||||
|---|---|---|---|---|
| Very large hospital (10,000 LB/year) | Large hospital (5000) | Medium hospital (2500) | Small hospital (1000) | |
| No. deliveries/week | 200 | 100 | 50 | 20 |
| No. readmissions (2%) | 4 | 2 | 1 | 1 |
| No. maternal infections/week(1–15%) | 2–30 | 1–15 | 0.5 - 7 | 0–3 |
Potential bias and efforts to address potential sources of bias (based on the Critical Appraisal Skills Programme – CASP)
| Potential Bias | Efforts to address potential sources of bias |
|---|---|
| Selection bias | |
| Because this study is facility-based, estimates of the frequency of antenatal or postpartum infections exclude women who become ill in the community and do not seek care. Therefore, the study will underestimate the prevalence in the population by missing women who do not reach facility, including women with uncomplicated infections who seek treatment in the community and also severely ill women who died in the community. | Incidence estimates will note this limitation. Because the primary purpose of the study is to assess the proposed sepsis definitions which will be used largely for sepsis identification in facilities, a facility-based cohort is considered acceptable. |
| Exposure measurement bias | |
| Comparable measurements of health practices and outcomes given variations in the criteria used for diagnosis or management of women and neonates. | Indicators of outcomes and practices will be standardised wherever possible and defined in the Manual of Operations, and pretested. The prospective identification of eligible women will allow standardisation of the population and definitions before data collection and maximise the comparability of findings across different units and countries. |
| Outcome measurement bias | |
| Incomplete follow up or a follow up that is too short. Women included in the study and their neonates will not be followed-up in the community after discharge from hospital. | This potential bias is controlled by the study design and the hypothesis of the study is that the study period represents a typical week for all regions and facilities within the geographical region, regarding the number and characteristics of births, subjects returning to a health facility after initial discharge from hospital and the cases of maternal and neonatal sepsis. This strategy will allow to increase participation of countries and facilities by minimizing the burden of data collection while gathering key information for the development and implementation of better strategies for the prevention, identification and management of maternal and neonatal sepsis globally. |
| Incomplete identification of confounding factors or effect modifiers | Efforts will be made to identify and collect minimal information on key confounding or effect modifiers factors as listed above, including medical factors but also social characteristics that might affect the probability of admission to specific types of hospitals or management |
| The study is underpowered or unable to generate precise estimates | Efforts are made to include a large number of countries, and to select geographical areas with adequate institutional birth rates. The implementation of the modified protocol in voluntary individual facilities will provide an opportunity to increase the number of included women. |
| Important proportion of births occurring outside the participating facilities | This is a facility-based study, and the assumption is made that severe cases will reach the health system. The estimated number of childbirths that took place in the geographical area during the study period will be obtained to better assess the impact of the study design. |
| Difficulties to follow-up of women/babies | Inclusion of all facilities in the same geographical area should facilitate follow-up of women and their babies transferred |
| Seasonal variations in conditions leading to sepsis | The inclusion of a large number of countries will allow expanding the geographical variability of the study. This will also limit the effect of geographic or seasonal clusters of infectious morbidities that might affect the outcomes of the study. Most of the expected cases of maternal sepsis occur in the postpartum period and are related to maternal genital tract infections, or other morbidities (e.g. urinary tract infection) not subject to seasonality. However, seasonal variability is well known for some infections that could lead to maternal sepsis (e.g. influenza, H1N1, malaria, chikungunya, chicken pox). The impact of these variations in our study is difficult to predict, but we think that we can reduce the effect of seasonality by including countries in different regions of the globe. |
| Incomplete medical records | As part of the data quality process a random sample of forms will be will be cross-checked against medical records. |
| Potential behaviour modification of health care providers or women due to participation in the awareness campaign preceding and during the survey | Behaviour modification due to being aware of the study and effect of the awareness campaign are possible. This potential bias is inherent to any prospective study. |
CRITICAL APPRAISAL SKILLS PROGRAMME (CASP): Making Sense of Evidence 12 Questions to Help You Make Sense of a Cohort Study. Accesible at http://media.wix.com/ugd/dded87_7e983a320087439e94533f4697aa109c.pdf [32] (Accessed 2 Nov 2017)