Fitsum Weldegebriel Belay, Rekiku Fikre, Akalewold Alemayehu, Andrew Clarke, Sarah Williams, Hannah Richards, Yohannes Chanyalew Kassa, Fanuel Belayneh Bekele
{"title":"新生儿人体测量在识别非洲低出生体重儿和早产儿方面的可行性和诊断准确性:系统综述和荟萃分析。","authors":"Fitsum Weldegebriel Belay, Rekiku Fikre, Akalewold Alemayehu, Andrew Clarke, Sarah Williams, Hannah Richards, Yohannes Chanyalew Kassa, Fanuel Belayneh Bekele","doi":"10.1136/bmjpo-2024-002741","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Complications of prematurity are the leading cause of under-5 mortality globally and 80% of newborn deaths are of low birth weight (LBW) babies. Early identification of LBW and preterm infants is crucial to initiate timely interventions.</p><p><strong>Objective: </strong>To evaluate the feasibility and diagnostic accuracy of alternative neonatal anthropometric measurements in identifying LBW and preterm infants in Africa.</p><p><strong>Methods: </strong>In this systematic review and meta-analysis, we evaluated the diagnostic performance of infant foot length, mid-upper arm circumference (MUAC), head and chest circumferences against birth weight and gestational age. Pooled correlation between the index and the reference methods was estimated. Multiple anthropometric thresholds were considered in estimating the pooled sensitivity, specificity and area under receiver operating characteristic curve (AUC).</p><p><strong>Results: </strong>21 studies from 8 African countries met the inclusion criteria. Correlation coefficients with birth weight were 0.79 (95% CI 0.70 to 0.85) for chest circumference, 0.71 (95% CI 0.62 to 0.78) for MUAC and 0.66 (95% CI 0.59 to 0.73) for foot length. Foot length measured by rigid ruler showed a higher correlation than tape measurement. Chest circumference with 28.8 cm cut-off detects LBW babies with AUC value of 0.92 (95% CI 0.71 to 0.97). Foot length identified preterm infants, with 82% sensitivity, 89% specificity and AUC of 0.91 (95% CI 0.69 to 0.98) at a 7.2 cm optimal cut-off point. MUAC had an AUC of 0.83 (95% CI 0.47 to 0.95) for preterm detection. In identifying LBW babies, foot length and MUAC have AUC values of 0.89 (95% CI 0.70 to 0.96) and 0.91 (95% CI 0.73 to 0.97) at 7.3 cm and 9.8 cm optimal cut-off points, respectively. Foot length and MUAC are relatively simple and minimise the risk of exposing infants to cold.</p><p><strong>Conclusion: </strong>Newborn foot length, MUAC, head and chest circumferences have comparable diagnostic accuracy in identifying LBW and preterm babies. Using foot length and MUAC in low-resource settings are the most feasible proxy measures for screening where weighing scales are not available.</p><p><strong>Prospero registration number: </strong>CRD42023454497.</p>","PeriodicalId":9069,"journal":{"name":"BMJ Paediatrics Open","volume":"8 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448207/pdf/","citationCount":"0","resultStr":"{\"title\":\"Feasibility and diagnostic accuracy of neonatal anthropometric measurements in identifying low birthweight and preterm infants in Africa: a systematic review and meta-analysis.\",\"authors\":\"Fitsum Weldegebriel Belay, Rekiku Fikre, Akalewold Alemayehu, Andrew Clarke, Sarah Williams, Hannah Richards, Yohannes Chanyalew Kassa, Fanuel Belayneh Bekele\",\"doi\":\"10.1136/bmjpo-2024-002741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Complications of prematurity are the leading cause of under-5 mortality globally and 80% of newborn deaths are of low birth weight (LBW) babies. Early identification of LBW and preterm infants is crucial to initiate timely interventions.</p><p><strong>Objective: </strong>To evaluate the feasibility and diagnostic accuracy of alternative neonatal anthropometric measurements in identifying LBW and preterm infants in Africa.</p><p><strong>Methods: </strong>In this systematic review and meta-analysis, we evaluated the diagnostic performance of infant foot length, mid-upper arm circumference (MUAC), head and chest circumferences against birth weight and gestational age. Pooled correlation between the index and the reference methods was estimated. Multiple anthropometric thresholds were considered in estimating the pooled sensitivity, specificity and area under receiver operating characteristic curve (AUC).</p><p><strong>Results: </strong>21 studies from 8 African countries met the inclusion criteria. Correlation coefficients with birth weight were 0.79 (95% CI 0.70 to 0.85) for chest circumference, 0.71 (95% CI 0.62 to 0.78) for MUAC and 0.66 (95% CI 0.59 to 0.73) for foot length. Foot length measured by rigid ruler showed a higher correlation than tape measurement. Chest circumference with 28.8 cm cut-off detects LBW babies with AUC value of 0.92 (95% CI 0.71 to 0.97). Foot length identified preterm infants, with 82% sensitivity, 89% specificity and AUC of 0.91 (95% CI 0.69 to 0.98) at a 7.2 cm optimal cut-off point. MUAC had an AUC of 0.83 (95% CI 0.47 to 0.95) for preterm detection. In identifying LBW babies, foot length and MUAC have AUC values of 0.89 (95% CI 0.70 to 0.96) and 0.91 (95% CI 0.73 to 0.97) at 7.3 cm and 9.8 cm optimal cut-off points, respectively. Foot length and MUAC are relatively simple and minimise the risk of exposing infants to cold.</p><p><strong>Conclusion: </strong>Newborn foot length, MUAC, head and chest circumferences have comparable diagnostic accuracy in identifying LBW and preterm babies. 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引用次数: 0
摘要
背景:早产儿并发症是全球 5 岁以下儿童死亡的主要原因,80% 的新生儿死亡是由于出生体重不足(LBW)造成的。早期识别低出生体重儿和早产儿对于及时启动干预措施至关重要:评估替代性新生儿人体测量方法在识别非洲低出生体重儿和早产儿方面的可行性和诊断准确性:在这项系统综述和荟萃分析中,我们评估了婴儿足长、中上臂围(MUAC)、头围和胸围与出生体重和胎龄的诊断性能。我们估算了该指数与参考方法之间的汇总相关性。在估算集合灵敏度、特异性和接收器工作特征曲线下面积(AUC)时,考虑了多种人体测量阈值。胸围与出生体重的相关系数为 0.79(95% CI 0.70 至 0.85),MUAC 为 0.71(95% CI 0.62 至 0.78),脚长为 0.66(95% CI 0.59 至 0.73)。用硬尺测量的脚长比用胶带测量的相关性更高。以 28.8 厘米为临界值的胸围可检测出低保婴儿,其 AUC 值为 0.92(95% CI 0.71 至 0.97)。脚长可识别早产儿,灵敏度为 82%,特异度为 89%,以 7.2 厘米为最佳临界点的 AUC 值为 0.91(95% CI 0.69 至 0.98)。在早产儿检测中,MUAC 的 AUC 为 0.83(95% CI 0.47 至 0.95)。在识别低体重儿方面,脚长和MUAC在7.3厘米和9.8厘米最佳截断点的AUC值分别为0.89(95% CI 0.70至0.96)和0.91(95% CI 0.73至0.97)。足长和MUAC的测量方法相对简单,可最大限度地降低婴儿受寒的风险:结论:新生儿足长、周长、头围和胸围在识别低体重儿和早产儿方面的诊断准确性相当。在没有体重秤的情况下,在低资源环境中使用足长和MUAC是最可行的筛查替代测量方法:CRD42023454497。
Feasibility and diagnostic accuracy of neonatal anthropometric measurements in identifying low birthweight and preterm infants in Africa: a systematic review and meta-analysis.
Background: Complications of prematurity are the leading cause of under-5 mortality globally and 80% of newborn deaths are of low birth weight (LBW) babies. Early identification of LBW and preterm infants is crucial to initiate timely interventions.
Objective: To evaluate the feasibility and diagnostic accuracy of alternative neonatal anthropometric measurements in identifying LBW and preterm infants in Africa.
Methods: In this systematic review and meta-analysis, we evaluated the diagnostic performance of infant foot length, mid-upper arm circumference (MUAC), head and chest circumferences against birth weight and gestational age. Pooled correlation between the index and the reference methods was estimated. Multiple anthropometric thresholds were considered in estimating the pooled sensitivity, specificity and area under receiver operating characteristic curve (AUC).
Results: 21 studies from 8 African countries met the inclusion criteria. Correlation coefficients with birth weight were 0.79 (95% CI 0.70 to 0.85) for chest circumference, 0.71 (95% CI 0.62 to 0.78) for MUAC and 0.66 (95% CI 0.59 to 0.73) for foot length. Foot length measured by rigid ruler showed a higher correlation than tape measurement. Chest circumference with 28.8 cm cut-off detects LBW babies with AUC value of 0.92 (95% CI 0.71 to 0.97). Foot length identified preterm infants, with 82% sensitivity, 89% specificity and AUC of 0.91 (95% CI 0.69 to 0.98) at a 7.2 cm optimal cut-off point. MUAC had an AUC of 0.83 (95% CI 0.47 to 0.95) for preterm detection. In identifying LBW babies, foot length and MUAC have AUC values of 0.89 (95% CI 0.70 to 0.96) and 0.91 (95% CI 0.73 to 0.97) at 7.3 cm and 9.8 cm optimal cut-off points, respectively. Foot length and MUAC are relatively simple and minimise the risk of exposing infants to cold.
Conclusion: Newborn foot length, MUAC, head and chest circumferences have comparable diagnostic accuracy in identifying LBW and preterm babies. Using foot length and MUAC in low-resource settings are the most feasible proxy measures for screening where weighing scales are not available.