Refining the Apgar score cut-off point for newborns at risk

Aim: To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality rate. Methods: The records of all singleton live births without severe congenital malformations and length of gestation >25 wk (n= 976635) w...

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Published inActa Paediatrica Vol. 93; no. 1; pp. 53 - 59
Main Authors Chong, DSY, Karlberg, J
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.01.2004
Blackwell
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Abstract Aim: To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality rate. Methods: The records of all singleton live births without severe congenital malformations and length of gestation >25 wk (n= 976635) were collected from the Swedish Medical Birth Registry, 1990 to 1998. Receiver operating characteristic (ROC) analysis was utilized. Results: Both the 1‐min and the 5‐min Apgar scores were shown to be good discriminators for early mortality, with the area under the ROC curve >0.85. For babies at risk of early death, the selected cut‐off values for the 1‐min Apgar score was >8 for preterm (true‐positive (TP) rate: 83.9%; false‐positive (FP) rate: 17.7%) and term babies (TP rate: 69.4%; FP rate: 6.7%). At 5 min, the analysis revealed that newborns with an Apgar score >9 were at risk for early death (preterm babies: TP rate: 79.8%; FP rate: 13.3%; term babies: TP rate: 73.8%; FP rate: 3.4%). Conclusions: Our analysis did not support the common practice in the clinic or in research of grouping infants at risk in Apgar score groups, i.e. a score below 4 or a score below 7. However, the data presented here allow the clinicians and researchers to identify and define a suitable cutoff point in relation to the quality of neonatal care and resources available, rather than adhering to a historical cut‐off value that has not been studied in depth.
AbstractList To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality rate. The records of all singleton live births without severe congenital malformations and length of gestation >25 wk (n = 976635) were collected from the Swedish Medical Birth Registry, 1990 to 1998. Receiver operating characteristic (ROC) analysis was utilized. Both the 1-min and the 5-min Apgar scores were shown to be good discriminators for early mortality, with the area under the ROC curve >0.85. For babies at risk of early death, the selected cut-off values for the 1-min Apgar score was <8 for preterm (true-positive (TP) rate: 83.9%; false-positive (FP) rate: 17.7%) and term babies (TP rate: 69.4%; FP rate: 6.7%). At 5 min, the analysis revealed that newborns with an Apgar score <9 were at risk for early death (preterm babies: TP rate: 79.8%; FP rate: 13.3%; term babies: TP rate: 73.8%; FP rate: 3.4%). Our analysis did not support the common practice in the clinic or in research of grouping infants at risk in Apgar score groups, i.e. a score below 4 or a score below 7. However, the data presented here allow the clinicians and researchers to identify and define a suitable cut-off point in relation to the quality of neonatal care and resources available, rather than adhering to a historical cut-off value that has not been studied in depth.
AIMTo evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality rate.METHODSThe records of all singleton live births without severe congenital malformations and length of gestation >25 wk (n = 976635) were collected from the Swedish Medical Birth Registry, 1990 to 1998. Receiver operating characteristic (ROC) analysis was utilized.RESULTSBoth the 1-min and the 5-min Apgar scores were shown to be good discriminators for early mortality, with the area under the ROC curve >0.85. For babies at risk of early death, the selected cut-off values for the 1-min Apgar score was <8 for preterm (true-positive (TP) rate: 83.9%; false-positive (FP) rate: 17.7%) and term babies (TP rate: 69.4%; FP rate: 6.7%). At 5 min, the analysis revealed that newborns with an Apgar score <9 were at risk for early death (preterm babies: TP rate: 79.8%; FP rate: 13.3%; term babies: TP rate: 73.8%; FP rate: 3.4%).CONCLUSIONSOur analysis did not support the common practice in the clinic or in research of grouping infants at risk in Apgar score groups, i.e. a score below 4 or a score below 7. However, the data presented here allow the clinicians and researchers to identify and define a suitable cut-off point in relation to the quality of neonatal care and resources available, rather than adhering to a historical cut-off value that has not been studied in depth.
Aim : To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality rate. Methods : The records of all singleton live births without severe congenital malformations and length of gestation >25 wk ( n = 976635) were collected from the Swedish Medical Birth Registry, 1990 to 1998. Receiver operating characteristic (ROC) analysis was utilized. Results : Both the 1‐min and the 5‐min Apgar scores were shown to be good discriminators for early mortality, with the area under the ROC curve >0.85. For babies at risk of early death, the selected cut‐off values for the 1‐min Apgar score was >8 for preterm (true‐positive (TP) rate: 83.9%; false‐positive (FP) rate: 17.7%) and term babies (TP rate: 69.4%; FP rate: 6.7%). At 5 min, the analysis revealed that newborns with an Apgar score >9 were at risk for early death (preterm babies: TP rate: 79.8%; FP rate: 13.3%; term babies: TP rate: 73.8%; FP rate: 3.4%). Conclusions : Our analysis did not support the common practice in the clinic or in research of grouping infants at risk in Apgar score groups, i.e. a score below 4 or a score below 7. However, the data presented here allow the clinicians and researchers to identify and define a suitable cutoff point in relation to the quality of neonatal care and resources available, rather than adhering to a historical cut‐off value that has not been studied in depth.
Aim: To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality rate. Methods: The records of all singleton live births without severe congenital malformations and length of gestation >25 wk (n= 976635) were collected from the Swedish Medical Birth Registry, 1990 to 1998. Receiver operating characteristic (ROC) analysis was utilized. Results: Both the 1‐min and the 5‐min Apgar scores were shown to be good discriminators for early mortality, with the area under the ROC curve >0.85. For babies at risk of early death, the selected cut‐off values for the 1‐min Apgar score was >8 for preterm (true‐positive (TP) rate: 83.9%; false‐positive (FP) rate: 17.7%) and term babies (TP rate: 69.4%; FP rate: 6.7%). At 5 min, the analysis revealed that newborns with an Apgar score >9 were at risk for early death (preterm babies: TP rate: 79.8%; FP rate: 13.3%; term babies: TP rate: 73.8%; FP rate: 3.4%). Conclusions: Our analysis did not support the common practice in the clinic or in research of grouping infants at risk in Apgar score groups, i.e. a score below 4 or a score below 7. However, the data presented here allow the clinicians and researchers to identify and define a suitable cutoff point in relation to the quality of neonatal care and resources available, rather than adhering to a historical cut‐off value that has not been studied in depth.
Author Karlberg, J
Chong, DSY
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Cites_doi 10.1177/140349489001800209
10.1067/mpd.2001.109608
10.1213/00000539-195301000-00041
10.1111/j.1651-2227.1960.tb05962.x
10.1126/science.171.3977.1217
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10.1016/S0022-3476(58)80058-X
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10.1016/S0029-7844(98)00326-3
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Issue 1
Keywords Human
Pediatrics
Neonatal
birth register
Mortality
Curve
Apgar score
Birth
Epidemiology
Newborn
Register
Receiver operating characteristic curves
ROC curve
Signal detection
Language English
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Snippet Aim: To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality...
To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality rate....
Aim : To evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality...
AIMTo evaluate the Apgar score predictive power for mortality during different periods in the first year of life in a population with a very low mortality...
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Publisher
StartPage 53
SubjectTerms Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Apgar Score
Biological and medical sciences
birth register
Emergency and intensive care: neonates and children. Prematurity. Sudden death
General aspects
Humans
Infant Mortality
Infant, Newborn
Intensive care medicine
Medical Records
Medical sciences
mortality
neonatal
Predictive Value of Tests
Registries
Risk
ROC Curve
Sweden
Title Refining the Apgar score cut-off point for newborns at risk
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https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1651-2227.2004.tb00674.x
https://www.ncbi.nlm.nih.gov/pubmed/14989440
https://search.proquest.com/docview/71685942
Volume 93
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