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Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population

OBJECTIVE: To use Z-scores to compare different charts of femur length (FL) applied to our population with the aim of identifying the most appropriate chart. METHODS: A retrospective study was conducted in Beijing. Fifteen hospitals in Beijing were chosen as clusters using a systemic cluster samplin...

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Autores principales: Li, Boya, Yang, Huixia, Wei, Yumei, Su, Rina, Wang, Chen, Meng, Wenying, Wang, Yongqing, Shang, Lixin, Cai, Zhenyu, Ji, Liping, Wang, Yunfeng, Sun, Ying, Liu, Jiaxiu, Wei, Li, Sun, Yufeng, Zhang, Xueying, Luo, Tianxia, Chen, Haixia, Yu, Lijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961440/
https://www.ncbi.nlm.nih.gov/pubmed/27458922
http://dx.doi.org/10.1371/journal.pone.0159733
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author Li, Boya
Yang, Huixia
Wei, Yumei
Su, Rina
Wang, Chen
Meng, Wenying
Wang, Yongqing
Shang, Lixin
Cai, Zhenyu
Ji, Liping
Wang, Yunfeng
Sun, Ying
Liu, Jiaxiu
Wei, Li
Sun, Yufeng
Zhang, Xueying
Luo, Tianxia
Chen, Haixia
Yu, Lijun
author_facet Li, Boya
Yang, Huixia
Wei, Yumei
Su, Rina
Wang, Chen
Meng, Wenying
Wang, Yongqing
Shang, Lixin
Cai, Zhenyu
Ji, Liping
Wang, Yunfeng
Sun, Ying
Liu, Jiaxiu
Wei, Li
Sun, Yufeng
Zhang, Xueying
Luo, Tianxia
Chen, Haixia
Yu, Lijun
author_sort Li, Boya
collection PubMed
description OBJECTIVE: To use Z-scores to compare different charts of femur length (FL) applied to our population with the aim of identifying the most appropriate chart. METHODS: A retrospective study was conducted in Beijing. Fifteen hospitals in Beijing were chosen as clusters using a systemic cluster sampling method, in which 15,194 pregnant women delivered from June 20th to November 30th, 2013. The measurements of FL in the second and third trimester were recorded, as well as the last measurement obtained before delivery. Based on the inclusion and exclusion criteria, we identified FL measurements from 19996 ultrasounds from 7194 patients between 11 and 42 weeks gestation. The FL data were then transformed into Z-scores that were calculated using three series of reference equations obtained from three reports: Leung TN, Pang MW et al (2008); Chitty LS, Altman DG et al (1994); and Papageorghiou AT et al (2014). Each Z-score distribution was presented as the mean and standard deviation (SD). Skewness and kurtosis and were compared with the standard normal distribution using the Kolmogorov-Smirnov test. The histogram of their distributions was superimposed on the non-skewed standard normal curve (mean = 0, SD = 1) to provide a direct visual impression. Finally, the sensitivity and specificity of each reference chart for identifying fetuses <5th or >95th percentile (based on the observed distribution of Z-scores) were calculated. The Youden index was also listed. A scatter diagram with the 5(th), 50(th), and 95(th) percentile curves calculated from and superimposed on each reference chart was presented to provide a visual impression. RESULTS: The three Z-score distribution curves appeared to be normal, but none of them matched the expected standard normal distribution. In our study, the Papageorghiou reference curve provided the best results, with a sensitivity of 100% for identifying fetuses with measurements < 5(th) and > 95(th) percentile, and specificities of 99.9% and 81.5%, respectively. CONCLUSIONS: It is important to choose an appropriate reference curve when defining what is normal. The Papageorghiou reference curve for FL seems to be the best fit for our population. Perhaps it is time to change our reference curve for femur length.
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spelling pubmed-49614402016-08-08 Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population Li, Boya Yang, Huixia Wei, Yumei Su, Rina Wang, Chen Meng, Wenying Wang, Yongqing Shang, Lixin Cai, Zhenyu Ji, Liping Wang, Yunfeng Sun, Ying Liu, Jiaxiu Wei, Li Sun, Yufeng Zhang, Xueying Luo, Tianxia Chen, Haixia Yu, Lijun PLoS One Research Article OBJECTIVE: To use Z-scores to compare different charts of femur length (FL) applied to our population with the aim of identifying the most appropriate chart. METHODS: A retrospective study was conducted in Beijing. Fifteen hospitals in Beijing were chosen as clusters using a systemic cluster sampling method, in which 15,194 pregnant women delivered from June 20th to November 30th, 2013. The measurements of FL in the second and third trimester were recorded, as well as the last measurement obtained before delivery. Based on the inclusion and exclusion criteria, we identified FL measurements from 19996 ultrasounds from 7194 patients between 11 and 42 weeks gestation. The FL data were then transformed into Z-scores that were calculated using three series of reference equations obtained from three reports: Leung TN, Pang MW et al (2008); Chitty LS, Altman DG et al (1994); and Papageorghiou AT et al (2014). Each Z-score distribution was presented as the mean and standard deviation (SD). Skewness and kurtosis and were compared with the standard normal distribution using the Kolmogorov-Smirnov test. The histogram of their distributions was superimposed on the non-skewed standard normal curve (mean = 0, SD = 1) to provide a direct visual impression. Finally, the sensitivity and specificity of each reference chart for identifying fetuses <5th or >95th percentile (based on the observed distribution of Z-scores) were calculated. The Youden index was also listed. A scatter diagram with the 5(th), 50(th), and 95(th) percentile curves calculated from and superimposed on each reference chart was presented to provide a visual impression. RESULTS: The three Z-score distribution curves appeared to be normal, but none of them matched the expected standard normal distribution. In our study, the Papageorghiou reference curve provided the best results, with a sensitivity of 100% for identifying fetuses with measurements < 5(th) and > 95(th) percentile, and specificities of 99.9% and 81.5%, respectively. CONCLUSIONS: It is important to choose an appropriate reference curve when defining what is normal. The Papageorghiou reference curve for FL seems to be the best fit for our population. Perhaps it is time to change our reference curve for femur length. Public Library of Science 2016-07-26 /pmc/articles/PMC4961440/ /pubmed/27458922 http://dx.doi.org/10.1371/journal.pone.0159733 Text en © 2016 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Boya
Yang, Huixia
Wei, Yumei
Su, Rina
Wang, Chen
Meng, Wenying
Wang, Yongqing
Shang, Lixin
Cai, Zhenyu
Ji, Liping
Wang, Yunfeng
Sun, Ying
Liu, Jiaxiu
Wei, Li
Sun, Yufeng
Zhang, Xueying
Luo, Tianxia
Chen, Haixia
Yu, Lijun
Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population
title Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population
title_full Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population
title_fullStr Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population
title_full_unstemmed Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population
title_short Is It Time to Change Our Reference Curve for Femur Length? Using the Z-Score to Select the Best Chart in a Chinese Population
title_sort is it time to change our reference curve for femur length? using the z-score to select the best chart in a chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961440/
https://www.ncbi.nlm.nih.gov/pubmed/27458922
http://dx.doi.org/10.1371/journal.pone.0159733
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