期刊论文详细信息
Reproductive Health
Severe maternal morbidity: a case-control study in Maranhao, Brazil
Marina X Vasconcelos4  Janne E Costa4  Patricia S Golino1  Valeria Maria A Passos2  Sandhi Maria Barreto2  Ana Paula Pierre de Moraes3 
[1] Ceuma Universidade - Unidade Renascença, Rua Josue Montello, n 1, Renascença II, Sao Luis, Maranhao, CEP 65.075-120, Brazil;Centro de Pos-graduacao Belo Horizonte, Universidade Federal de Minas Gerais (UFMG), Av Professor Alfredo Balena 190 – 5 andar, Belo Horizonte, Minas Gerais, cep 30130-100, Brazil;Doctor of Public Health / Intensive care physician, Universidade Federal do Maranhao, Rua Barao Itapary, 32 (UTI geral)-Centro, Sao Luis, Maranhao cep 65020-070, Brazil;University Hospital, Universidade Federal do Maranhao (UFMA), Unidade Materno Infantil, Rua Silva Jardim, n 215, Centro - Sao Luis-MA, Sao Luis, Maranhao, CEP: 65020-560, Brazil
关键词: Case–control study;    Pregnancy;    Prenatal care;    Puerperium;    Maternal mortality;    Pregnancy complications;    Estudo caso-controle;    Gravidez;    Prenatal;    Puerpério;    Mortalidade materna;    Complicações da gravidez;   
Others  :  811795
DOI  :  10.1186/1742-4755-10-11
 received in 2012-10-12, accepted in 2013-01-28,  发布年份 2013
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【 摘 要 】

Background

Maternal mortality and morbidity are among the top public health priorities in Brazil, being quite high, especially among the most disadvantage women. A case control study was developed to identify risk factors for severe maternal morbidity in Sao Luis, one of the poorest Brazilian State Capitals.

Methods

The case–control study was carried out between 01/03/2009 and 28/02/2010 in two public high-risk maternities facilities and in two intensive care units (ICUs) for referral of obstetric cases. All cases hospitalized due to complications during gestation period, childbirth or up to 42 days of puerperium and who fulfilled any of Mantel's and/or Waterstone's criteria were identified. Two controls per case were randomly selected among patients of the same clinics discharged for other reasons. Data were obtained through a structured interview as well as from medical charts and prenatal cards and included sociodemographic variables, clinical and obstetric histories, behavioral factors and exposure to stress factors during pregnancy, pre-natal assistance and obstetric complication and childbirth care.

Results

In the final model of the unconditional logistic regression analysis, being older than 35 years (OR=3.11; 95% CI:1.53-6.31), previous hypertension (OR=2.52; 95% CI:1.09-5.80), history of abortion (OR=1.61; 95% CI:0.97-2.68), 4–5 pre-natal consultations (OR=1.78; 95% CI:1.05-3.01) and 1–3 pre-natal consultations (OR=1.89; 95% CI:1.03-3.49) were independently associated with severe maternal morbidity.

Conclusions

The results corroborate the importance of reproductive healthcare, of identifying a high-risk pregnancy and of a qualified and complete prenatal care to prevent severe morbid events.

Resumo

Introdução

A mortalidade e morbidade maternas estão entre os tópicos prioritários da Saúde Pública brasileira, especialmente na população de menor nível socioeconômico. Um estudo caso-controle foi desenvolvido para identificar os fatores de risco para morbidade materna grave em São Luís, capital de um dos estados mais pobres do Brasil.

Método

Estudo caso-controle realizado em duas maternidades públicas de alto risco e duas UTIs de referência aos casos obstétricos entre 01/03/2009 e 28/02/2010. Foram incluídas todas as pacientes internadas por complicação do período grávido-puerperal e que preenchiam os critérios de Waterstone e/ou Mantel para morbidade materna grave. Foram selecionados para cada caso, dois controles por sorteio aleatório dentre as pacientes internadas no mesmo período e mesma maternidade que o caso. As informações de domínio sociodemográfico, clínico, obstétrico, comportamental, exposição a eventos estressores na gestação, assistência ao pré-natal, intercorrências obstétricas e atenção ao parto, foram obtidas por meio de entrevista estruturada. As variáveis foram analisadas por modelo de regressão logística múltipla não condicional, baseado em modelo hierarquizado a priori.

Resultados

Foram identificados como fatores de risco para morbidade materna grave: idade >35 anos (OR=3,11; IC 95%:1,53-6,31), hipertensão prévia à gestação (OR=2,52; IC 95%:1,09-5,80), antecedente de aborto (OR=1,61; IC 95%:0,97-2,68), ter realizado 4–5 consultas pré-natais (OR=1,78; IC 95%:1,05-3,01) ou 1–3 consultas (OR=1,89; IC 95%:1,03-3,49).

Conclusão

Os resultados do estudo corroboram a importância da assistência à saúde reprodutiva e o pré-natal completo e qualificado na prevenção de eventos mórbidos graves durante o ciclo grávido-puerperal.

【 授权许可】

   
2013 de Moraes et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]United Nations: UN partners on MDGs. Improve maternal health. New York: UN; 2000. http://www.un.org/millenniumgoals/maternal.shtml webcite. Accessed in 2010
  • [2]World Health Organization: Beyond the numbers: reviewing maternal deaths and complications to make pregnancy safer. Geneva: WHO; 2004.
  • [3]Nashef SA: What is a near miss? Lancet 2003, 361(9352):180-181.
  • [4]Stones W, Lim W, Al-Azzawi F, Kelly M: An investigation of maternal morbidity with identification of life-threatening ‘near-miss’ episodes. Health Trends 1991, 23(1):13-15.
  • [5]Mantel GD, Buchmann E, Rees H, Pattinson RC: Severe acute maternal morbidity: a pilot study of a definition for a near-miss. Br J Obstet Gynaecol 1998, 105(9):985-990.
  • [6]Filipi V, Alihonou E, Mukkantaganda S, Graham WJ, Ronsmans C: Near misses: maternal morbidity and mortality. Lancet 1998, 351:145-146.
  • [7]Pattinson RC, Hall M: Near misses: a useful adjunct to maternal death enquires. Br Med Bull 2003, 67:231-243.
  • [8]Goffman D, Madden RC, Harrison EA, Merkatz IR, Chazotte C: Predictors of maternal mortality and near-miss maternal morbidity. J Perinatol 2007, 27(10):597-601.
  • [9]Geller SE, Rosenberg D, Cox SM, Brown ML, Simonson L, Driscoll CA, Kilpatrick SJ: The continuum of maternal morbidity and mortality: factors associated with severity. Am J Obstet Gynecol 2004, 191:939-944.
  • [10]Brazil. Ministry of Health: Mortality Indicators. http://tabnet.datasus.gov.br/cgi/idb2008/C03b.htm webcite. Accessed in 2011
  • [11]Brazil. Ministry of Health: Socioeconomic Indicators. http://tabnet.datasus.gov.br/cgi/tabcgi.exe?idb2011/b08a.def webcite Accessed in 2013
  • [12]Brazil. Ministry of Health: Health Information. http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/mat10ma.def webcite Acessed in 2013
  • [13]Moraes APP, Barreto SM, Passos VMA, Golino PS, Costa JA, Vasconcelos MX: Incidence and main causes of severe maternal morbidity in Sao Luis, Maranhao, Brazil: a longitudinal study. Sao Paulo Med J 2011, 129(3):146-152.
  • [14]Brazil. Ministry of Health: Coverage Indicators. http://tabnet.datasus.gov.br/cgi/tabcgi.exe?idb2008/f16.def webcite. Accessed in 2011
  • [15]Waterstone M, Bewley S, Wolfe C: Incidence and predictors of severe obstetric morbidity: case–control study. BMJ 2001, 322(7294):1089-1093. discussion 1093–4
  • [16]Say L, Souza JP, Pattinson RC: Maternal near miss - towards a standard tool for monitoring quality of maternal health care. Best Pract Res Clin Obstet Gynaecol 2009, 23:287-296.
  • [17]Brazil. Ministry of Health: Health coverage Indicators. http://tabnet.datasus.gov.br/cgi/tabcgi.exe?idb2007/f06.def webcite
  • [18]Victora CG, Huttly SR, Fuchs SC, Olinto MT: The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol 1997, 26(1):224-227.
  • [19]Almeida SDM, Barros MBA: Health care and neonatal mortality. Rev Bras Epidemiol 2004, 7(1):22-33.
  • [20]Bouvier-Colle MH, Varnoux N, Salanave B, Pierre-Yves A, Bréart G: Case–control study of risk factors for obstetric patients’ admission to intensive care units. Eur J Obstet Gynecol Reprod Biol 1997, 74:173-177.
  • [21]Amorim MMR, Katz L, Valença M, Araújo DE: Severe maternal morbidity in an obstetric ICU in Recife, Northeast of Brazil. Rev Assoc Med Bras 2008, 54(3):261-266.
  • [22]Brazil. Ministry of Health: Prenatal and puerperal humanized and qualified care technical manual. Brasília: Ministério da Saúde; 2006. http://portal.saude.gov.br/portal/arquivos/pdf/manual_puerperio_2006.pdf webcite. Accessed in 2008
  • [23]Cecatti JG, Guerra GVQL, Sousa MH, Menezes GMS: Abortion in Brazil: a demographic approach. Rev Bras Ginecol Obstet 2010, 32(3):105-111.
  • [24]Laurenti R, Jorge MHPM, Gotlieb SLD: Maternal mortality in Brazilian State Capitals: some characteristics and estimates for an adjustment factors. Rev Bras Epidemiol 2004, 7(4):449-460.
  • [25]Souza JPD, Cecatti JC, Parpinelli MA: Factors associated with the severity of maternal morbidity for the characterization of near miss. Rev Bras Ginecol Obstet 2005, 27(4):197-203.
  • [26]Vasquez DN, Estenssoro E, Canales HC, Reina MGS, Neves AV, Toro MA, Loudet C: Clinical characteristics and outcomes of obstetric patient requiring ICU admission. Chest 2007, 131:718-724.
  • [27]Morse ML, Fonseca SC, Gottgtroy CL, Waldmann CS, Gueller E: Severe maternal morbidity and near misses in a regional reference hospital. Rev Bras Epidemiol 2011, 14(2):310-322.
  • [28]Victora CG, Aquino EM, Leal MC, Monteiro CA, Barros FC, Szwarcwald CL: Maternal and child health in Brazil: progress and challenges. Lancet 2011, 377(9780):1863-1876.
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