Literature DB >> 26908954

Classifying the causes of perinatal death.

Emma Allanson1, Özge Tunçalp1, Jason Gardosi2, Robert C Pattinson3, Jan Jaap Hm Erwich4, Vicki J Flenady5, J Frederik Frøen6, James Neilson7, Doris Chou1, Matthews Mathai8, Lale Say1, Metin Gülmezoglu1.   

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Year:  2016        PMID: 26908954      PMCID: PMC4750440          DOI: 10.2471/BLT.15.168047

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


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There continues to be slow progress in preventing stillbirths. It is estimated that globally, more than 2 million stillbirths occur each year, adding to 2.9 million neonatal deaths. Ending preventable perinatal deaths is high on the international public health agenda., In countries with the highest mortality burden, limited or non-existent vital registration and medical records mean that perinatal deaths are often not recorded. Thus the first step in addressing high perinatal mortality is the accurate capture and classification of the causes of those deaths across all settings. Many classification systems have been used to identify the cause of perinatal deaths, highlighting the need for a unifying global system. The World Health Organization (WHO) is developing a system to enable comparisons within and between diverse settings, including low-, middle- and high-income countries. This will allow benchmarking and the identification of trends, gaps and modifiable factors and help to focus local and global efforts on prevention. Using the coding rules of the 10th revision of the International classification of diseases and related health problems (ICD-10), WHO, in collaboration with partners, has developed The WHO application of ICD-10 to perinatal deaths: ICD-perinatal mortality (ICD-PM). This is closely modelled on the WHO application of ICD-10 to deaths during pregnancy, childbirth, and the puerperium: ICD-maternal mortality (ICD-MM), which aims to “facilitate the consistent collection, analysis and interpretation of information on maternal deaths”. Perinatal death reviews should include classification of the cause of death, to enhance our understanding of why babies die and what actions we can take to reduce preventable deaths. A guide to using ICD-PM as part of perinatal audit is being developed to aid this process. ICD-PM builds upon the reportable variables in ICD-10 guidelines for certification of perinatal death and allows tabulation of cases for comparison between settings. There are three distinct features of ICD-PM. First, it captures the time of a perinatal death in the antepartum, intrapartum or neonatal period. The timing of a perinatal death may be the only piece of information captured when classifying a death in resource-poor settings. This information can be used to make international comparisons as well as decisions on where to focus local efforts and interventions. Bringing stillbirth and neonatal deaths together in a standardized system of definitions and coding rules improves comparability. Since the ICD is widely used – 117 countries use ICD for mortality reporting – ICD-PM has great potential to bring to the foreground those deaths that have previously gone unnoticed. Second, ICD-PM applies a multilayered approach to the classification of cause of death, such that it reflects varying levels of available information depending on the setting. Mutually exclusive clinical conditions that lead to the identification of a single cause of perinatal death are determined and linked with an ICD code. It is critical that a standardized classification system is globally relevant. A great deal of consideration has gone into ensuring ICD-PM is applicable in low-resource settings where the burden of perinatal mortality is greatest, as well as in high-resource settings, where perinatal mortality is lower but present across all perinatal periods. Accordingly, the ICD-PM approach for classification of cause of death allows investigations such as postmortem or placental histology to be captured, in settings where they are available. Third, ICD-PM links contributing maternal conditions with perinatal deaths, given that a maternal condition is frequently found in the context of a perinatal death., Capturing the chain of maternal and fetal events that led to perinatal death can inform preventative and therapeutic measures. Programmes aimed at one unifying pathology (e.g. hypertension) or clinical scenario (e.g. intrapartum care) can benefit both mother and baby. Including maternal conditions as an integral part of the classification of perinatal death aligns with WHO action plans. There is no perfect classification system, however ICD-PM adopts the features of many other systems in a way that allows applicability in all settings and encourages international comparisons. Perinatal mortality remains high and we must unify our approach to classifying these deaths and use this information to drive interventions and allocate resources to reduce preventable stillbirths and neonatal deaths.
  5 in total

1.  Stillbirths: the way forward in high-income countries.

Authors:  Vicki Flenady; Philippa Middleton; Gordon C Smith; Wes Duke; Jan Jaap Erwich; T Yee Khong; Jim Neilson; Majid Ezzati; Laura Koopmans; David Ellwood; Ruth Fretts; J Frederik Frøen
Journal:  Lancet       Date:  2011-04-13       Impact factor: 79.321

Review 2.  Causes of and factors associated with stillbirth in low- and middle-income countries: a systematic literature review.

Authors:  M Aminu; R Unkels; M Mdegela; B Utz; S Adaji; N van den Broek
Journal:  BJOG       Date:  2014-09       Impact factor: 6.531

Review 3.  Every Newborn: progress, priorities, and potential beyond survival.

Authors:  Joy E Lawn; Hannah Blencowe; Shefali Oza; Danzhen You; Anne C C Lee; Peter Waiswa; Marek Lalli; Zulfiqar Bhutta; Aluisio J D Barros; Parul Christian; Colin Mathers; Simon N Cousens
Journal:  Lancet       Date:  2014-05-19       Impact factor: 79.321

4.  Causes of perinatal mortality and associated maternal complications in a South African province: challenges in predicting poor outcomes.

Authors:  Emma R Allanson; Mari Muller; Robert C Pattinson
Journal:  BMC Pregnancy Childbirth       Date:  2015-02-15       Impact factor: 3.007

5.  Maternal complications and perinatal mortality: findings of the World Health Organization Multicountry Survey on Maternal and Newborn Health.

Authors:  J P Vogel; J P Souza; R Mori; N Morisaki; P Lumbiganon; M Laopaiboon; E Ortiz-Panozo; B Hernandez; R Pérez-Cuevas; M Roy; S Mittal; J G Cecatti; Ö Tunçalp; A M Gülmezoglu
Journal:  BJOG       Date:  2014-03       Impact factor: 6.531

  5 in total
  6 in total

1.  Criteria for assigning cause of death for stillbirths and neonatal deaths in research studies in low-middle income countries.

Authors:  Robert L Goldenberg; Lulu Muhe; Sarah Saleem; Sangappa Dhaded; Shivaprasad S Goudar; Janna Patterson; Assaye Nigussie; Elizabeth M McClure
Journal:  J Matern Fetal Neonatal Med       Date:  2018-08-23

2.  Global Network for Women's and Children's Health Research: probable causes of stillbirth in low- and middle-income countries using a prospectively defined classification system.

Authors:  E M McClure; A Garces; S Saleem; J L Moore; C L Bose; F Esamai; S S Goudar; E Chomba; M Mwenechanya; O Pasha; A Tshefu; A Patel; S M Dhaded; C Tenge; I Marete; M Bauserman; S Sunder; B S Kodkany; W A Carlo; R J Derman; P L Hibberd; E A Liechty; K M Hambidge; N F Krebs; M Koso-Thomas; M Miodovnik; D D Wallace; R L Goldenberg
Journal:  BJOG       Date:  2017-01-31       Impact factor: 6.531

3.  Factors associated with perinatal mortality among public health deliveries in Addis Ababa, Ethiopia, an unmatched case control study.

Authors:  Yemisrach Getiye; Mesganaw Fantahun
Journal:  BMC Pregnancy Childbirth       Date:  2017-07-26       Impact factor: 3.007

4.  Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania.

Authors:  Innocent B Mboya; Michael J Mahande; Mohanad Mohammed; Joseph Obure; Henry G Mwambi
Journal:  BMJ Open       Date:  2020-10-19       Impact factor: 2.692

5.  Determinants for Perinatal Mortality in South China: A Prospective Cohort Study.

Authors:  Yiping Liu; Qiongxuan Li; Tingting Wang; Senmao Zhang; Letao Chen; Yihuan Li; Jingyi Diao; Jinqi Li; Xinli Song; Mengting Sun; Jianhui Wei; Jing Shu; Tubao Yang; Jiabi Qin
Journal:  Front Pediatr       Date:  2022-03-18       Impact factor: 3.418

6.  Applying the international classification of diseases to perinatal mortality data, South Africa.

Authors:  Tina Lavin; Emma R Allanson; Lee Nedkoff; David B Preen; Robert C Pattinson
Journal:  Bull World Health Organ       Date:  2018-10-17       Impact factor: 9.408

  6 in total

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