Diagnostic accuracy of the partograph alert and action lines to predict adverse birth outcomes: a systematic review.
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ABSTRACT: Background
There are questions about the use of the 'one-centimetre per hour rule' as a valid benchmark for assessing the adequacy of labour progress.Objectives
To determine the accuracy of the alert (1-cm/hour) and action lines of the cervicograph in the partograph to predict adverse birth outcomes among women in first stage of labour.Search strategy
PubMed, EMBASE, CINAHL, POPLINE, Global Health Library, and reference lists of eligible studies.Selection criteria
Observational studies and other study designs reporting data on the correlation between the alert line status of women in labour and the occurrence of adverse birth outcomes.Data collection and analysis
Two reviewers at a time independently identified eligible studies and independently abstracted data including population characteristics and maternal and perinatal outcomes.Main results
Thirteen studies in which 20 471 women participated were included in the review. The percentage of women crossing the alert line varied from 8 to 76% for all maternal or perinatal outcomes. No study showed a robust diagnostic test accuracy profile for any of the selected outcomes.Conclusions
This systematic review does not support the use of the cervical dilatation over time (at a threshold of 1 cm/h during active first stage) to identify women at risk of adverse birth outcomes.Tweetable abstract
Alert line of partograph does not identify women at risk of adverse birth outcomes.
SUBMITTER: Bonet M
PROVIDER: S-EPMC6899985 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Publications
Diagnostic accuracy of the partograph alert and action lines to predict adverse birth outcomes: a systematic review.
Bonet M M Oladapo O T OT Souza J P JP Gülmezoglu A M AM
BJOG : an international journal of obstetrics and gynaecology 20190818 13
<h4>Background</h4>There are questions about the use of the 'one-centimetre per hour rule' as a valid benchmark for assessing the adequacy of labour progress.<h4>Objectives</h4>To determine the accuracy of the alert (1-cm/hour) and action lines of the cervicograph in the partograph to predict adverse birth outcomes among women in first stage of labour.<h4>Search strategy</h4>PubMed, EMBASE, CINAHL, POPLINE, Global Health Library, and reference lists of eligible studies.<h4>Selection criteria</h4 ...[more]
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Project description:ObjectiveTo assess the accuracy of the World Health Organization (WHO) partograph alert line and other candidate predictors in the identification of women at risk of developing severe adverse birth outcomes.DesignA facility-based, multicentre, prospective cohort study.SettingThirteen maternity hospitals located in Nigeria and Uganda.PopulationA total of 9995 women with spontaneous onset of labour presenting at cervical dilatation of ≤6 cm or undergoing induction of labour.MethodsResearch assistants collected data on sociodemographic, anthropometric, obstetric, and medical characteristics of study participants at hospital admission, multiple assessments during labour, and interventions during labour and childbirth. The alert line and action line, intrapartum monitoring parameters, and customised labour curves were assessed using sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and the J statistic.OutcomesSevere adverse birth outcomes.ResultsThe rate of severe adverse birth outcomes was 2.2% (223 women with severe adverse birth outcomes), the rate of augmentation of labour was 35.1% (3506 women), and the caesarean section rate was 13.2% (1323 women). Forty-nine percent of women in labour crossed the alert line (4163/8489). All reference labour curves had a diagnostic odds ratio ranging from 1.29 to 1.60. The J statistic was less than 10% for all reference curves.ConclusionsOur findings suggest that labour is an extremely variable phenomenon, and the assessment of cervical dilatation over time is a poor predictor of severe adverse birth outcomes. The validity of a partograph alert line based on the 'one-centimetre per hour' rule should be re-evaluated.FundingBill & Melinda Gates Foundation, United States Agency for International Development (USAID), UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), and WHO (A65879).Tweetable abstractThe alert line in check: results from a WHO study.
| S-EPMC6032950 | biostudies-literature
Project description:BackgroundAlthough timely treatment of sepsis improves outcomes, delays in administering evidence-based therapies are common.PurposeTo determine whether automated real-time electronic sepsis alerts can: (1) accurately identify sepsis and (2) improve process measures and outcomes.Data sourcesWe systematically searched MEDLINE, Embase, The Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature from database inception through June 27, 2014.Study selectionIncluded studies that empirically evaluated 1 or both of the prespecified objectives.Data extractionTwo independent reviewers extracted data and assessed the risk of bias. Diagnostic accuracy of sepsis identification was measured by sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratio (LR). Effectiveness was assessed by changes in sepsis care process measures and outcomes.Data synthesisOf 1293 citations, 8 studies met inclusion criteria, 5 for the identification of sepsis (n = 35,423) and 5 for the effectiveness of sepsis alerts (n = 6894). Though definition of sepsis alert thresholds varied, most included systemic inflammatory response syndrome criteria ± evidence of shock. Diagnostic accuracy varied greatly, with PPV ranging from 20.5% to 53.8%, NPV 76.5% to 99.7%, LR+ 1.2 to 145.8, and LR- 0.06 to 0.86. There was modest evidence for improvement in process measures (ie, antibiotic escalation), but only among patients in non-critical care settings; there were no corresponding improvements in mortality or length of stay. Minimal data were reported on potential harms due to false positive alerts.ConclusionsAutomated sepsis alerts derived from electronic health data may improve care processes but tend to have poor PPV and do not improve mortality or length of stay.
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Project description:BackgroundThe partograph has been endorsed by World Health Organization (WHO) since 1994 which presents an algorithm for assessing maternal and foetal conditions and labor progression. Monitoring labour with a partograph can reduce adverse pregnancy outcomes such as prolonged labor, emergency C-sections, birth asphyxia and stillbirths. However, partograph use is still very low, particularly in low and middle income countries (LMICs). In Bangladesh the reported partograph user rate varies from 1.4% to 33.0%. Recently, an electronic version of the partograph, with the provision of online data entry and user aid for emergency clinical support, has been tested successfully in different settings. With this proven evidence, we conducted and operations research to test the feasibility and effectiveness of implementing an e-partograph, for the first time, in 2 public hospitals in Bangladesh.MethodsWe followed a prospective crossover design. Two secondary level referral hospitals, Jessore and Kushtia District Hospital (DH) were the study sites. All pregnant women who delivered in the study hospitals were the study participants. All nurse-midwives working in the labor ward of study hospitals were trained on appropriate use of both types of partograph along with standard labour management guidelines. Collected quantitative data was analyzed using SPSS 23 statistical software. Discrete variables were expressed as percentages and presented as frequency distribution and cross tabulations. Chi square tests were employed to test the association between exposure and outcome variables. Potential confounding factors were adjusted using multivariate binary logistic regression methods. Ethical approval was obtained from the institutional review board of the International Centre for Diarrheal Disease Research, Bangladesh (icddr,b).FindingsIn total 2918 deliveries were conducted at Jessore DH and 2312 at Kushtia DH during one-year study period. Of them, 1012 (506 in each facility) deliveries were monitored using partograph (paper or electronic). The trends of facility based C-section rates was downwards in both the hospitals; 43% to 37% in Jessore and from 36% to 25% in Kushtia Hospital. There was a significant reduction of prolonged labour with e-partograph use. In Kushtia DH, the prolonged labour rate was 42% during phase 1 with the paper version which came down to 29% during phase-2 with the e-partograph use. The similar result was observed in Jessore DH where the prolonged labour rate reduced to 7% with paper partograph from the reported 30% prolonged labour with e-partograph. The e-partograph user rate was higher than the paper partograph during both phases (phase 1: 3.31, CI: 2.04-5.38, p < .001 and in phase 2: 15.20 CI: 6.36-36.33, p < .001) after adjusting for maternal age, parity, gestational age, religion, mother's education, husband's education, and fetal sex.ConclusionThe partograph user rate has significantly improved with the e- partograph and was associated with an overall reduction in cesarean births. Use of the e-partograph was also associated with reduced rates of prolonged labour. This study has added to the growing body of evidence on the positive impact of e-partograph use. We recommend implementing e-partograph intervention at scale in both public and private hospitals in Bangladesh.Trial registrationClinicalTrials.gov NCT03509103.
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Project description:Periodontal disease may increase the risk of adverse birth outcomes; however, results have been mixed. Few studies have examined periodontal disease in developing countries. We describe the relationship between periodontal disease and birth outcomes in a community setting in Pakistan.This was a prospective cohort study. Enrollment occurred at 20-26 weeks of gestation. A study dentist performed the periodontal examination to assess probing depth, clinical attachment level, gingival index, and plaque index. Outcomes included stillbirth, neonatal death, perinatal death, < 32 weeks preterm birth, 32-36 weeks preterm birth, and low birthweight and are presented for increasing periodontal disease severity by quartiles.Dental examinations and outcome data were completed for 1152 women: 81% of the women were multiparous, with a mean age of 27 years; 33% of the women had no education. Forty-seven percent of the women had dental caries; 27% of the women had missing teeth, and 91% of the women had had no dental care in the last year. Periodontal disease was common: 76% of the women had > or = 3 teeth with a probing depth of > or = 3 mm; 87% of the women had > or = 4 teeth with a clinical attachment level of > or = 3 mm; 56% of the women had > or = 4 teeth with a plaque index of 3; and 60% of the women had > or = 4 teeth with a gingival index of 3. As the measures of periodontal disease increased from the 1st to 4th quartile, stillbirth and neonatal and perinatal death also increased, with relative risks of approximately 1.3. Early preterm birth increased, but the results were not significant. Late preterm birth and low birthweight were not related to measures of periodontal disease.Pregnant Pakistani women have high levels of moderate-to-severe dental disease. Stillbirth and neonatal and perinatal deaths increased with the severity of periodontal disease.
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Project description:Fluoxetine (FLX) is the most common selective serotonin reuptake inhibitor pharmaceutical used for the treatment of psychological disorders such as depression and anxiety. Increased prescription use of FLX by human populations has led to its pseudo-persistence in effluent-receiving waterways. Despite emerging concerns of FLX becoming a potential threat to the aquatic environment, there is currently limited information on effects of FLX on aquatic wildlife, including its specific mechanism of action and associated toxicity pathways in fish. The main goal of this study was to identify and validate key molecular toxicity pathways that are predictive of apical endpoints induced by exposure to FLX using the fathead minnow (Pimephales promelas), a model species common to North American freshwater systems. Adult fathead minnows were exposed to three concentrations of FLX (2.42, 10.7, and 56.7 µg/L) and a control for 21 days. After 96 hours, a subset of fish was sampled, and liver and brain tissue were collected to characterize molecular toxicity pathways using whole transcriptome and proteome analyses. In addition, at the end of the 21-day exposure, individuals were assessed for apical outcomes of regulatory relevance including histopathology and fecundity. Differential gene expression observed in the liver of fish exposed to the highest FLX treatment and revealed dysregulation of pathways associated with biosynthesis and metabolism of fatty acids, which may be an upstream molecular response that led to lipid-type vacuolation of hepatocytes, as observed in the histology analysis. Whole proteome analysis of the same fish revealed dysregulation of PPAR signalling, which may be associated with the enrichment of lipid-related pathways observed in the transcriptome. In addition, there was an indication of pathway enrichment of transcription- and translation-related pathways in the proteome. Common dysregulated genes in the brain of the treated fish were related to cellular signalling processes that are influenced by serotonin levels and shown to be involved in reproductive behaviour and, in turn, reproductive success. This was confirmed through a significant decrease in fecundity following the 21-day exposure. Pathways to measurable adverse outcomes are complex, however, this research does provide some important clues to the mechanistic toxicity that FLX inflicts.
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Project description:Recent research in economics emphasizes the role of in utero conditions for the health endowment at birth and in early childhood and for social as well as economic outcomes in later life. This paper analyzes the relation between maternal mental health during pregnancy and birth outcomes of the child. In particular, we analyze the relationship between maternal mental health during pregnancy and the probability of giving birth preterm (PT), having a newborn at low birth weight (LBW) or being small for gestational age (SGA). Based on large population-representative data from the German Socio-Economic Panel (SOEP) and cohort data from the National Educational Panel Study (NEPS), we present extensive descriptive evidence on the relationship between maternal mental health and preterm birth by carrying out OLS estimates controlling for a wide range of socioeconomic characteristics. In addition, we apply matching estimators and mother fixed effects models, which bring us closer toward a causal interpretation of estimates. In summary, the results uniformly provide evidence that poor maternal mental health is a risk factor for preterm birth and low birth weight in offspring. In contrast, we find no evidence for an relationship between maternal mental health and small for gestational age at birth.
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Project description:ImportanceWomen with a high level of autistic traits in the general population may experience larger health disparities during pregnancy, particularly women diagnosed with autism spectrum disorder (ASD), which in turn may be associated with increased risk of adverse birth outcomes.ObjectiveTo investigate the association between maternal autistic traits and the risk of adverse birth outcomes in the general population.Design, setting, and participantsThis cohort study included mothers of singletons from a nationwide, multicenter prospective birth cohort, the Japan Environmental Children's Study. Expecting mothers were recruited between January 2011 and March 2014. Data were analyzed between June 2021 and November 2023.ExposuresAutistic traits were self-reported during the second and third trimesters using the short form of the Autism-Spectrum Quotient Japanese version (AQ-J10) (score range, 0-10; clinical range, ≥7).Main outcomes and measuresData on preterm birth (<37 weeks' gestation) and neonates born small for gestational age (SGA) were transcribed from medical records. Additional analysis of gestational age groups (very preterm birth, <32 weeks' gestation; moderate-to-late preterm birth, 32-36 weeks' gestation) was also performed.ResultsAmong 87 687 women (mean [SD] age, 31.2 [5.0] years) included in the study, 2350 (2.7%) had AQ-J10 scores within the clinical range yet only 18 (0.02%) were diagnosed with ASD. A higher AQ-J10 score was associated with an increased risk of all birth outcomes, including preterm births (relative risk [RR] per 1-SD increase, 1.06; 95% CI, 1.03-1.09), moderate-to-late preterm births (RR per 1-SD increase, 1.05; 95% CI, 1.01-1.08), very preterm births (RR per 1-SD increase, 1.16; 95% CI, 1.06-1.26), and child born SGA (RR per 1-SD increase, 1.04; 95% CI, 1.01-1.06) after adjusting for maternal and pregnancy-related factors. The risks of all outcomes increased with higher AQ-J10 scores; compared with women below the clinical range, women within the clinical range had greater risk of preterm births (RR, 1.16; 95% CI, 1.07-1.26), moderate-to-late preterm births (RR, 1.12; 95% CI, 1.03-1.22), very preterm births (RR, 1.49; 95% CI, 1.18-1.89), and a child born SGA (RR, 1.11; 95% CI, 1.04-1.19).Conclusions and relevanceIn this cohort study, higher level of maternal autistic traits was associated with increased risk of adverse birth outcomes, particularly very preterm birth. Acknowledging the risks and providing tailored and timely antenatal care support to women with a high level of autistic traits in the general population, particularly women with autistic traits within the clinical range, regardless of formal diagnosis, is warranted.
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Project description:ObjectivesThe prevalence of low birth weight (LBW) is an important indicator of child health and wellbeing. However, in many countries, decisions regarding care and treatment are often based on mothers' perceptions of their children's birth size due to a lack of objective birth weight data. Additionally, birth weight data that is self-reported or recorded often encounters the issue of heaping. This study assesses the concordance between the perceived birth size and the reported or recorded birth weight. We also investigate how the presence of heaped birth weight data affects this concordance, as well as the relationship between concordance and various sociodemographic factors.MethodsWe examined 4,641 birth records reported in the 2019 Bangladesh Multiple Indicator Cluster Survey. The sensitivity-specificity analysis was performed to assess perceived birth size's ability to predict LBW, while Cohen's Kappa statistic assessed reliability. We used the kernel smoothing technique to correct heaping of birth weight data, as well as a multivariable multinomial logistic model to assess factors associated with concordance.ResultsMaternally-perceived birth size exhibited a low sensitivity (63.5%) and positive predictive value (52.6%) for predicting LBW, but a high specificity (90.1%) and negative predictive value (93.4%). There was 86.1% agreement between birth size and birth weight-based classifications (Kappa = 0.49, indicating moderate agreement). Smoothed birth weight data did not improve agreement (83.4%, Kappa = 0.45). Of the sociodemographic factors, early marriage was positively associated with discordance (i.e., overestimation).ConclusionsAn important consideration when calculating the LBW prevalence is that maternally perceived birth size is not an optimal proxy for birth weight. Focus should be placed on encouraging institutional births and educating community health workers and young mothers about the significance of measuring and recording birth weight.
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Project description:ImportanceMany studies have reported an association of interpregnancy interval (IPI) between 2 consecutive births with adverse birth outcomes in low- and middle-income countries. However, most of these studies ignore the implications of some unmeasured confounders.ObjectiveTo explore the association of IPI with adverse perinatal outcomes.Design, setting, and participantsThis large-scale cohort study used the Guangdong Provincial Women and Children Health Information System in Guangdong Province, China, to obtain birth data recorded between January 1, 2014, and December 31, 2020. Matched-sibling design was used. The final cohort included first-born and second-born sibling pairs delivered by mothers who were permanent residents of Guangdong Province.ExposuresThe exposure variable was IPI, which was categorized as follows: less than 6, 6 to 11, 12 to 17, 18 to 23, 24 to 29, 30 to 35, and 36 or more months.Main outcomes and measuresThe outcome variables were adverse birth outcomes: preterm birth (PTB, gestational age <37 weeks), low birth weight (LBW, <2500 g), and small for gestational age (SGA). Adjusted odds ratio (OR) and interaction odds ratio (IOR) associated with IPI were calculated.ResultsThe study consisted of 725 392 sibling pairs of multiparous mothers. Among these mothers, 718 111 (99.0%) were aged 20 to 34 years, and 715 583 (98.7%) were of Han Chinese ethnicity. Unmatched analysis showed that a short IPI of less than 6 months was associated with higher risks of PTB (adjusted OR, 1.96; 95% CI, 1.87-2.06), LBW (adjusted OR, 1.88; 95% CI, 1.79-1.98), and SGA (adjusted OR, 1.34; 95% CI, 1.30-1.38) compared with an IPI of 18 to 23 months. These associations were attenuated in the matched-sibling analysis. An association of short IPI (<6 months) with PTB (adjusted IOR, 1.40; 95% CI, 1.30-1.51), LBW (adjusted IOR, 1.30; 95% CI, 1.21-1.40), and SGA (adjusted IOR, 1.16; 95% CI, 1.11-1.22) remained in the matched analysis. For IPI of 36 months or more, the odds of PTB (adjusted OR, 1.08; 95% CI, 1.03-1.14) and LBW (adjusted OR, 1.13; 95% CI, 1.07-1.19) in the unmatched analysis were also greater than the reference interval (18-23 months), but not for SGA (adjusted OR, 0.96; 95% CI, 0.93-0.99). Associations between a long IPI (≥36 months) and PTB (adjusted IOR, 1.10; 95% CI, 1.02-1.19) and LBW (adjusted IOR, 1.16; 95% CI, 1.07-1.26) remained through the sibling comparisons.Conclusions and relevanceResults of this study indicated that mothers with a short (<6 months) or long (≥36 months) IPI had greater odds of adverse birth outcomes. The findings may inform family planning policies and guide individuals and families who are planning for another pregnancy in China.
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Project description:BackgroundThe periconceptional period is a critical window for the origins of adverse pregnancy and birth outcomes, yet little is known about the dietary patterns that promote perinatal health.ObjectiveWe used machine learning methods to determine the effect of periconceptional dietary patterns on risk of preeclampsia, gestational diabetes, preterm birth, small-for-gestational-age (SGA) birth, and a composite of these outcomes.MethodsWe used data from 8259 participants in the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (8 US medical centers, 2010‒2013). Usual daily periconceptional intake of 82 food groups was estimated from a food frequency questionnaire. We used k-means clustering with a Euclidean distance metric to identify dietary patterns. We estimated the effect of dietary patterns on each perinatal outcome using targeted maximum likelihood estimation and an ensemble of machine learning algorithms, adjusting for confounders including health behaviors and psychological, neighborhood, and sociodemographic factors.ResultsThe 4 dietary patterns that emerged from our data were identified as "Sandwiches and snacks" (34% of the sample); "High fat, sugar, and sodium" (29%); "Beverages, refined grains, and mixed dishes" (21%); and "High fruits, vegetables, whole grains, and plant proteins" (16%). One-quarter of pregnancies had preeclampsia (8% incidence), gestational diabetes (5%), preterm birth (8%), or SGA birth (8%). Compared with the "High fat, sugar, and sodium" pattern, there were 3.3 to 4.3 fewer cases of the composite adverse outcome per 100 pregnancies among participants following the "Beverages, refined grains and mixed dishes" pattern (risk difference -0.043; 95% confidence interval -0.078, -0.009), "High fruits, vegetables, whole grains and plant proteins" pattern (-0.041; 95% confidence interval -0.078, -0.004), and "Sandwiches and snacks" pattern (-0.033; 95% confidence interval -0.065, -0.002).ConclusionsOur results highlight that there are a variety of periconceptional dietary patterns that are associated with perinatal health and reinforce the negative health implications of diets high in fat, sugars, and sodium.
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