Literature DB >> 20428368

Maternal near miss and maternal death in the World Health Organization's 2005 global survey on maternal and perinatal health.

João Paulo Souza1, Jose Guilherme Cecatti, Anibal Faundes, Sirlei Siani Morais, Jose Villar, Guillermo Carroli, Metin Gulmezoglu, Daniel Wojdyla, Nelly Zavaleta, Allan Donner, Alejandro Velazco, Vicente Bataglia, Eliette Valladares, Marius Kublickas, Arnaldo Acosta.   

Abstract

OBJECTIVE: To develop an indicator of maternal near miss as a proxy for maternal death and to study its association with maternal factors and perinatal outcomes.
METHODS: In a multicenter cross-sectional study, we collected maternal and perinatal data from the hospital records of a sample of women admitted for delivery over a period of two to three months in 120 hospitals located in eight Latin American countries. We followed a stratified multistage cluster random design. We assessed the intra-hospital occurrence of severe maternal morbidity and the latter's association with maternal characteristics and perinatal outcomes.
FINDINGS: Of the 97,095 women studied, 2964 (34 per 1000) were at higher risk of dying in association with one or more of the following: being admitted to the intensive care unit (ICU), undergoing a hysterectomy, receiving a blood transfusion, suffering a cardiac or renal complication, or having eclampsia. Being older than 35 years, not having a partner, being a primipara or para > 3, and having had a Caesarean section in the previous pregnancy were factors independently associated with the occurrence of severe maternal morbidity. They were also positively associated with an increased occurrence of low and very low birth weight, stillbirth, early neonatal death, admission to the neonatal ICU, a prolonged maternal postpartum hospital stay and Caesarean section.
CONCLUSION: Women who survive the serious conditions described could be pragmatically considered cases of maternal near miss. Interventions to reduce maternal and perinatal mortality should target women in these high-risk categories.

Entities:  

Mesh:

Year:  2009        PMID: 20428368      PMCID: PMC2814475          DOI: 10.2471/BLT.08.057828

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


  10 in total

1.  What is a near miss?

Authors:  Samer A M Nashef
Journal:  Lancet       Date:  2003-01-11       Impact factor: 79.321

Review 2.  Diagnostic tests 4: likelihood ratios.

Authors:  Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2004-07-17

3.  Caesarean delivery rates and pregnancy outcomes: the 2005 WHO global survey on maternal and perinatal health in Latin America.

Authors:  José Villar; Eliette Valladares; Daniel Wojdyla; Nelly Zavaleta; Guillermo Carroli; Alejandro Velazco; Archana Shah; Liana Campodónico; Vicente Bataglia; Anibal Faundes; Ana Langer; Alberto Narváez; Allan Donner; Mariana Romero; Sofia Reynoso; Karla Simônia de Pádua; Daniel Giordano; Marius Kublickas; Arnaldo Acosta
Journal:  Lancet       Date:  2006-06-03       Impact factor: 79.321

4.  Methodological considerations in implementing the WHO Global Survey for Monitoring Maternal and Perinatal Health.

Authors:  Archana Shah; Anibal Faundes; M'Imunya Machoki; Vicente Bataglia; Faouzi Amokrane; Allan Donner; Kidza Mugerwa; Guillermo Carroli; Bukola Fawole; Ana Langer; Jean José Wolomby; Alberto Naravaez; Idi Nafiou; Marius Kublickas; Eliette Valladares; Alejandro Velasco; Nelly Zavaleta; Isilda Neves; José Villar
Journal:  Bull World Health Organ       Date:  2008-02       Impact factor: 9.408

5.  Maternal near miss--towards a standard tool for monitoring quality of maternal health care.

Authors:  Lale Say; João Paulo Souza; Robert C Pattinson
Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2009-03-19       Impact factor: 5.237

6.  [Audit of the quality of treatment of "near miss" patients in referral maternities in Southern Benin].

Authors:  Jacques Saizonou; Vincent De Brouwere; Charles Vangeenderhuysen; Michèle Dramaix-Wilmet; Pierre Buekens; Bruno Dujardin
Journal:  Sante       Date:  2006 Jan-Mar

7.  Can enquiries into severe acute maternal morbidity act as a surrogate for maternal death enquiries?

Authors:  R C Pattinson; E Buchmann; G Mantel; M Schoon; H Rees
Journal:  BJOG       Date:  2003-10       Impact factor: 6.531

8.  Maternal and neonatal individual risks and benefits associated with caesarean delivery: multicentre prospective study.

Authors:  José Villar; Guillermo Carroli; Nelly Zavaleta; Allan Donner; Daniel Wojdyla; Anibal Faundes; Alejandro Velazco; Vicente Bataglia; Ana Langer; Alberto Narváez; Eliette Valladares; Archana Shah; Liana Campodónico; Mariana Romero; Sofia Reynoso; Karla Simônia de Pádua; Daniel Giordano; Marius Kublickas; Arnaldo Acosta
Journal:  BMJ       Date:  2007-10-30

9.  Appropriate criteria for identification of near-miss maternal morbidity in tertiary care facilities: a cross sectional study.

Authors:  J P Souza; J G Cecatti; M A Parpinelli; S J Serruya; E Amaral
Journal:  BMC Pregnancy Childbirth       Date:  2007-09-11       Impact factor: 3.007

10.  WHO systematic review of maternal morbidity and mortality: the prevalence of severe acute maternal morbidity (near miss).

Authors:  Lale Say; Robert C Pattinson; A Metin Gülmezoglu
Journal:  Reprod Health       Date:  2004-08-17       Impact factor: 3.223

  10 in total
  57 in total

1.  Maternal characteristics and clinical diagnoses influence obstetrical outcomes in Indonesia.

Authors:  Asri Adisasmita; Carl V Smith; Ayman A E El-Mohandes; Poppy Elvira Deviany; Judith J Ryon; Michele Kiely; Quail Rogers-Bloch; Reginald F Gipson
Journal:  Matern Child Health J       Date:  2015-07

2.  Maternal and neonatal separation and mortality associated with concurrent admissions to intensive care units.

Authors:  Joel G Ray; Marcelo L Urquia; Howard Berger; Marian J Vermeulen
Journal:  CMAJ       Date:  2012-10-22       Impact factor: 8.262

3.  Major Determinants of Maternal Near-Miss and Mortality at the Maternity Teaching Hospital, Erbil city, Iraq.

Authors:  Vian Sabri Akrawi; Tariq Salman Al-Hadithi; Namir Ghanim Al-Tawil
Journal:  Oman Med J       Date:  2017-09

4.  Maternal near miss in low-resource areas.

Authors:  Robert L Goldenberg; Sarah Saleem; Sumera Ali; Janet L Moore; Adrien Lokangako; Antoinette Tshefu; Musaku Mwenechanya; Elwyn Chomba; Ana Garces; Lester Figueroa; Shivaprasad Goudar; Bhalachandra Kodkany; Archana Patel; Fabian Esamai; Paul Nsyonge; Margo S Harrison; Melissa Bauserman; Carl L Bose; Nancy F Krebs; K Michael Hambidge; Richard J Derman; Patricia L Hibberd; Edward A Liechty; Dennis D Wallace; Jose M Belizan; Menachem Miodovnik; Marion Koso-Thomas; Waldemar A Carlo; Alan H Jobe; Elizabeth M McClure
Journal:  Int J Gynaecol Obstet       Date:  2017-06-13       Impact factor: 3.561

5.  Development and validation of a questionnaire to identify severe maternal morbidity in epidemiological surveys.

Authors:  Joao P Souza; Jose G Cecatti; Rodolfo C Pacagnella; Thaís M Giavarotti; Mary A Parpinelli; Rodrigo S Camargo; Maria H Sousa
Journal:  Reprod Health       Date:  2010-07-21       Impact factor: 3.223

6.  Variation in severe maternal morbidity according to socioeconomic position: a UK national case-control study.

Authors:  Anthea Lindquist; Marian Knight; Jennifer J Kurinczuk
Journal:  BMJ Open       Date:  2013-06-20       Impact factor: 2.692

7.  Polymorphisms in the hypoxia-inducible factor 1 alpha gene in Mexican patients with preeclampsia: A case-control study.

Authors:  Sonia Nava-Salazar; Elly N Sánchez-Rodríguez; C Adriana Mendoza-Rodríguez; Carlos Moran; Juan F Romero-Arauz; Marco A Cerbón
Journal:  BMC Res Notes       Date:  2011-03-17

8.  The WHO maternal near-miss approach and the maternal severity index model (MSI): tools for assessing the management of severe maternal morbidity.

Authors:  Joao Paulo Souza; Jose Guilherme Cecatti; Samira M Haddad; Mary Angela Parpinelli; Maria Laura Costa; Leila Katz; Lale Say
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

9.  The WHO maternal near miss approach: consequences at Malawian District level.

Authors:  Thomas van den Akker; Jogchum Beltman; Joey Leyten; Beatrice Mwagomba; Tarek Meguid; Jelle Stekelenburg; Jos van Roosmalen
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

10.  Applicability of the WHO maternal near miss criteria in a low-resource setting.

Authors:  Ellen Nelissen; Estomih Mduma; Jacqueline Broerse; Hege Ersdal; Bjørg Evjen-Olsen; Jos van Roosmalen; Jelle Stekelenburg
Journal:  PLoS One       Date:  2013-04-16       Impact factor: 3.240

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