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Time to death from cervical cancer and its predictors in hospitalized patients: a survival approach study in Mato Grosso, Brazil.
Xavier, Sancho Pedro; da Silva, Kátia Moreira; Galvão, Noemi Dreyer; das Neves, Marco Aurélio Bertúlio; de Queiroz Neves Almeida, Adila; Mario Cândido da Silva, Ageo.
Afiliação
  • Xavier SP; Institute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil. sanchoxavierxavier@gmail.com.
  • da Silva KM; Institute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.
  • Galvão ND; Institute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.
  • das Neves MAB; State Secretary of Health of Mato Grosso, Cuiabá, Mato Grosso, Brazil.
  • de Queiroz Neves Almeida A; Institute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.
  • Mario Cândido da Silva A; State Secretary of Health of Mato Grosso, Cuiabá, Mato Grosso, Brazil.
World J Surg Oncol ; 22(1): 269, 2024 Oct 09.
Article em En | MEDLINE | ID: mdl-39385163
ABSTRACT

BACKGROUND:

Cervical cancer (CC) is a serious public health concern, being the fourth most common cancer among women and a leading cause of cancer mortality. In Brazil, many women are diagnosed late, and in Mato Grosso, with its geographical diversity, there are specific challenges. This study analyzed hospital survival and its predictors using data from the Hospital Information System (SIH) of the Unified Health System (SUS) in Mato Grosso from 2011 to 2023.

METHODS:

Cox regression and Kaplan-Meier models were applied to determine survival time and identify mortality predictors. The adjusted Hazard Ratio (AHR) with a 95% Confidence Interval (CI) was used to measure the association between the factors analyzed.

RESULTS:

The hospital mortality rate was 9.88%. The median duration of hospitalization was 33 days (interquartile range [IQR] 12-36), with a median survival of 43.7%. Patients were followed up for up to 70 days. In the multivariable Cox model, after adjusting for potential confounders, the risk of death during hospitalization was higher in patients aged 40-59 years (AHR = 1.39, p = 0.027) and 60-74 years (AHR = 1.54, p = 0.007), in the absence of surgical procedures (AHR = 4.48, p < 0.001), in patients with medium service complexity (AHR = 2.40, p = 0.037), and in the use of ICU (AHR = 4.97, p < 0.001). On the other hand, patients with hospital expenses above the median (152.971 USD) showed a reduced risk of death (AHR = 0.21, p < 0.001).

CONCLUSION:

This study highlights that hospitalized CC patients have reduced survival, underscoring the need for interventions to improve care, including strategies for early diagnosis and expanded access to adequately resourced health services.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Mortalidade Hospitalar / Hospitalização Limite: Adult / Aged / Female / Humans / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Revista: World J Surg Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Mortalidade Hospitalar / Hospitalização Limite: Adult / Aged / Female / Humans / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Revista: World J Surg Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido