Neonatal mortality in intensive care units of Central Brazil
Bibliographic Data
| ID | 9260459 |
|---|---|
| Authors | Claci Fátima Weirich (Universidade Federal de Goiás), Ana Lúcia Sampaio Sgambatti De Andrade (Universidade Federal de Goiás), Marília Dalva Turchi (0000-0001-5438-1345, Universidade Federal de Goiás), Simonne A Silva (Universidade Federal de Goiás), Otaliba L Morais-Neto (Universidade Federal de Goiás), Otaliba Morais-Neto (Universidade Federal de Goiás), Ruth Minamisava (0000-0001-9352-5567, Universidade Federal de Goiás), Solomar Martins Marques (0000-0002-7172-233X, Secretaria da Saúde) |
| Year | 2005 |
| Volume | 39 |
| Issue | 5 |
| Pages | 775-781 |
| Publication date | 2005-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista de Saúde Pública (JOURNAL) |
| Journal identifiers | ISSN: 0034-8910 • E-ISSN: 0034-8910 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/s0034-89102005000500012 |
| PMID | 16254654 |
| OpenAlex | W2159225095 |
| SCIELO_PID | S0034-89102005000500012 |
| Language | EN |
| Citations received | 3 |
| References cited | 17 |
OBJECTIVE: To identify potential prognostic factors for neonatal mortality among newborns referred to intensive care units. METHODS: A live-birth cohort study was carried out in Goiânia, Central Brazil, from November 1999 to October 2000. Linked birth and infant death certificates were used to ascertain the cohort of live born infants. An additional active surveillance system of neonatal-based mortality was implemented. Exposure variables were collected from birth and death certificates. The outcome was survivors (n=713) and deaths (n=162) in all intensive care units in the study period. Cox's proportional hazards model was applied and a Receiver Operating Characteristic curve was used to compare the performance of statistically significant variables in the multivariable model. Adjusted mortality rates by birth weight and 5-min Apgar score were calculated for each intensive care unit. RESULTS: Low birth weight and 5-min Apgar score remained independently associated to death. Birth weight equal to 2,500g had 0.71 accuracy (95% CI: 0.65-0.77) for predicting neonatal death (sensitivity =72.2%). A wide variation in the mortality rates was found among intensive care units (9.5-48.1%) and two of them remained with significant high mortality rates even after adjusting for birth weight and 5-min Apgar score. CONCLUSIONS: This study corroborates birth weight as a sensitive screening variable in surveillance programs for neonatal death and also to target intensive care units with high mortality rates for implementing preventive actions and interventions during the delivery period
Apgar score · Biology · Birth weight · Cohort · Cohort study · Environmental health · Infant mortality · Intensive care · Intensive care medicine · Low birth weight · Mortality rate · Neonatal intensive care unit · Population · Pregnancy · Global Maternal and Child Health · Internal Medicine · Maternal and Neonatal Healthcare · Medicine · Neonatal Respiratory Health Research · Pediatrics
Applied Logistic Regression
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The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Survival at nine neonatal intensive care units in São Paulo, Brazil
Perinatal risk and severity of illness in newborns at 6 neonatal intensive care units
O uso da técnica de "Linkage" de sistemas de informação em estudos de coorte sobre mortalidade neonatal
Comparação entre diferentes escores de risco de mortalidade em unidade de tratamento intensivo neonatal
Fatores de risco para mortalidade neonatal e pós-neonatal na Região Centro-Oeste do Brasil
Confiabilidade do Sistema de Informações sobre Nascidos Vivos Hospitalares no Município do Rio de Janeiro, 1999-2001
Declaração de nascido vivo
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,16 |
| Citation span | 2007 - 2011 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |