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Reis ZSN, Pires MC, Ramos LEF, Sales TLS, Pereira PD, Martins KPMP, Garbini AF, dos Reis Gomes AG, Pessoa BP, Matos CC, Cimini CCR, Rempel C, Ponce D, Aranha FFMG, Anschau F, Crestani GP, Grizende GMS, Bastos GAN, dos Santos Goedert GM, Menezes LSM, Carneiro M, Tolfo MF, Corrêa MAM, Maciel de Amorim M, Guimarães Júnior MH, Durães PAA, da Silva Rosa PM, de Lima Martelli PJ, Santos Charão de Almeida R, Martins RC, Alvarenga SP, Boersma E, Pessoa de Aguiar RAL, Marcolino MS. Mechanical ventilation and death in pregnant patients admitted for COVID-19: a prognostic analysis from the Brazilian COVID-19 registry score. BMC Pregnancy Childbirth 2023; 23:18. [PMID: 36627576 PMCID: PMC9830611 DOI: 10.1186/s12884-022-05310-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/14/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The assessment of clinical prognosis of pregnant COVID-19 patients at hospital presentation is challenging, due to physiological adaptations during pregnancy. Our aim was to assess the performance of the ABC2-SPH score to predict in-hospital mortality and mechanical ventilation support in pregnant patients with COVID-19, to assess the frequency of adverse pregnancy outcomes, and characteristics of pregnant women who died. METHODS This multicenter cohort included consecutive pregnant patients with COVID-19 admitted to the participating hospitals, from April/2020 to March/2022. Primary outcomes were in-hospital mortality and the composite outcome of mechanical ventilation support and in-hospital mortality. Secondary endpoints were pregnancy outcomes. The overall discrimination of the model was presented as the area under the receiver operating characteristic curve (AUROC). Overall performance was assessed using the Brier score. RESULTS From 350 pregnant patients (median age 30 [interquartile range (25.2, 35.0)] years-old]), 11.1% had hypertensive disorders, 19.7% required mechanical ventilation support and 6.0% died. The AUROC for in-hospital mortality and for the composite outcome were 0.809 (95% IC: 0.641-0.944) and 0.704 (95% IC: 0.617-0.792), respectively, with good overall performance (Brier = 0.0384 and 0.1610, respectively). Calibration was good for the prediction of in-hospital mortality, but poor for the composite outcome. Women who died had a median age 4 years-old higher, higher frequency of hypertensive disorders (38.1% vs. 9.4%, p < 0.001) and obesity (28.6% vs. 10.6%, p = 0.025) than those who were discharged alive, and their newborns had lower birth weight (2000 vs. 2813, p = 0.001) and five-minute Apgar score (3.0 vs. 8.0, p < 0.001). CONCLUSIONS The ABC2-SPH score had good overall performance for in-hospital mortality and the composite outcome mechanical ventilation and in-hospital mortality. Calibration was good for the prediction of in-hospital mortality, but it was poor for the composite outcome. Therefore, the score may be useful to predict in-hospital mortality in pregnant patients with COVID-19, in addition to clinical judgment. Newborns from women who died had lower birth weight and Apgar score than those who were discharged alive.
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Affiliation(s)
- Zilma Silveira Nogueira Reis
- grid.8430.f0000 0001 2181 4888Department of Gynecology and Obstetrics, University Hospital. Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Belo Horizonte, Brazil
| | - Magda Carvalho Pires
- grid.8430.f0000 0001 2181 4888Department of Statistics, Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte, Brazil
| | - Lucas Emanuel Ferreira Ramos
- grid.8430.f0000 0001 2181 4888Department of Statistics, Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte, Brazil
| | - Thaís Lorenna Souza Sales
- grid.428481.30000 0001 1516 3599Universidade Federal de São João del-Rei, R. Sebastião Gonçalves Coelho, 400, Chanadour, Divinópolis, MG 35501-296 Brazil
| | - Polianna Delfino Pereira
- grid.8430.f0000 0001 2181 4888Department of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Belo Horizonte, Brazil ,Institute for Health Technology Assessment (IATS/CNPq), R. Ramiro Barcelos, 2359, Porto Alegre, Brazil
| | - Karina Paula Medeiros Prado Martins
- grid.8430.f0000 0001 2181 4888University Hospital, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Belo Horizonte, Brazil
| | - Andresa Fontoura Garbini
- grid.414914.dHospital Nossa Senhora da Conceição and Hospital Cristo Redentor, Av. Francisco Trein, 326, Porto Alegre, Brazil
| | | | - Bruno Porto Pessoa
- Hospital Júlia Kubitschek, R. Dr. Cristiano Rezende, Belo Horizonte, 2745 Brazil
| | - Carolina Cunha Matos
- grid.419130.e0000 0004 0413 0953Faculdade de Ciências Médicas de Minas Gerais, Alameda Ezequiel Dias, 275, Belo Horizonte, Brazil
| | - Christiane Corrêa Rodrigues Cimini
- Hospital Santa Rosália, R. Dr. Onófre, 575, Teófilo Otoni, Brazil ,grid.411287.90000 0004 0643 9823Mucuri Medical School, Universidade Federal dos Vales do Jequitinhonha e Mucuri, R. Cruzeiro, 01, Teófilo Otoni, Brazil
| | - Claudete Rempel
- Hospital Bruno Born, Av. Benjamin Constant, 881, Lajeado, Brazil
| | - Daniela Ponce
- grid.410543.70000 0001 2188 478XBotucatu Medical School, Universidade Estadual Paulista “Júlio de Mesquita Filho” and Hospital das Clínicas da Faculdade de Medicina de Botucatu, Av. Prof. Mário Rubens Guimarães Montenegro, s/n, Botucatu, Brazil
| | | | - Fernando Anschau
- grid.414914.dHospital Nossa Senhora da Conceição and Hospital Cristo Redentor, Av. Francisco Trein, 326, Porto Alegre, Brazil
| | - Gabriela Petry Crestani
- grid.414871.f0000 0004 0491 7596Hospital Mãe de Deus, R. José de Alencar, 286, Porto Alegre, Brazil
| | - Genna Maira Santos Grizende
- grid.477816.b0000 0004 4692 337XHospital Santa Casa de Misericórdia de Belo Horizonte, Av. Francisco Sales, 1111, Belo Horizonte, Brazil
| | - Gisele Alsina Nader Bastos
- grid.414856.a0000 0004 0398 2134Hospital Moinhos de Vento, R. Ramiro Barcelos, 910, Porto Alegre, Brazil
| | | | | | - Marcelo Carneiro
- Hospital Santa Cruz, R. Fernando Abott, 174, Santa Cruz do Sul, Brazil
| | - Marcia Ffner Tolfo
- Faculdade Integrada de Santa Maria, R. José do Patrocínio, 26, Santa Maria, Brazil
| | - Maria Augusta Matos Corrêa
- grid.411287.90000 0004 0643 9823Mucuri Medical School, Universidade Federal dos Vales do Jequitinhonha e Mucuri, R. Cruzeiro, 01, Teófilo Otoni, Brazil
| | - Mariani Maciel de Amorim
- grid.411513.30000 0001 2111 8057Universidade Luterana do Brasil, Av. Farroupilha, 8001, Canoas, Brazil
| | | | - Pamela Andrea Alves Durães
- grid.412520.00000 0001 2155 6671Pontifícia Universidade Católica de Minas Gerais, R. do Rosário, 1081, Betim, Brazil
| | - Patryk Marques da Silva Rosa
- grid.411452.70000 0000 9898 6728Centro Universitário de Belo Horizonte, Av. Professor Werneck, 1685, Belo Horizonte, Brazil
| | - Petrônio José de Lima Martelli
- grid.411227.30000 0001 0670 7996Centro de Ciências Médicas, Universidade Federal de Pernambuco, Hospital das Clínicas da Universidade Federal de Pernambuco, Av. Prof. Moraes Rego, 1235, Recife, Brazil
| | | | | | - Samuel Penchel Alvarenga
- grid.428481.30000 0001 1516 3599Universidade Federal de São João del-Rei, R. Sebastião Gonçalves Coelho, 400, Chanadour, Divinópolis, MG 35501-296 Brazil
| | - Eric Boersma
- grid.5645.2000000040459992XDepartment of Cardiology, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Regina Amélia Lopes Pessoa de Aguiar
- grid.8430.f0000 0001 2181 4888Department of Gynecology and Obstetrics, University Hospital. Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Belo Horizonte, Brazil
| | - Milena Soriano Marcolino
- grid.8430.f0000 0001 2181 4888Department of Internal Medicine, Medical School, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Belo Horizonte, Brazil ,Institute for Health Technology Assessment (IATS/CNPq), R. Ramiro Barcelos, 2359, Porto Alegre, Brazil ,grid.8430.f0000 0001 2181 4888University Hospital, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Belo Horizonte, Brazil ,grid.8430.f0000 0001 2181 4888Telehealth Center, University Hospital, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena 190, Belo Horizonte, Brazil
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Laupland KB, Paterson DL, Stewart AG, Edwards F, Harris PNA. Sphingomonas paucimobilis bloodstream infection is a predominantly community-onset disease with significant lethality. Int J Infect Dis 2022; 119:172-177. [PMID: 35398302 DOI: 10.1016/j.ijid.2022.03.060] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Small case series and reports suggest that Sphingomonas paucimobilis is predominantly a cause of nosocomial bloodstream infections (BSI) with very low associated mortality. Our objective was to describe the epidemiology and outcome of Sphingomonas species BSI in a large Australian population. METHODS All residents of Queensland Australia with BSI due to Sphingomonas species identified within the publicly funded system during 2000-2019 were included. RESULTS A total of 282 incident episodes of Sphingomonas species BSI were identified for an age- and sex-adjusted incidence of 3.2 per million population annually. Incidence rates were highest in the tropical regions of the state. Most (94%) of the isolates were confirmed as Sphingomonas paucimobilis. Seventy-seven percent of the infections were of community-onset of which 48% were community-associated and 30% were healthcare-associated. The very young and old and males were at highest risk. Patients with community-associated disease were on average younger, had fewer co-morbidities, and were less likely to have polymicrobial infections. At least one comorbidity was identified in 62% with malignancy, diabetes, and lung disease most prevalent. The overall all cause 30-day case-fatality rate was 6%. CONCLUSION Sphingomonas paucimobilis BSI is a predominantly community-onset disease associated with a significant risk for death.
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Affiliation(s)
- Kevin B Laupland
- Department of Intensive Care Services, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
| | - David L Paterson
- University of Queensland, Faculty of Medicine, UQ Center for Clinical Research, Brisbane, Australia; Infectious Diseases Unit, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Adam G Stewart
- University of Queensland, Faculty of Medicine, UQ Center for Clinical Research, Brisbane, Australia; Department of Microbiology, Pathology Queensland, Brisbane, Australia
| | - Felicity Edwards
- Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - Patrick N A Harris
- University of Queensland, Faculty of Medicine, UQ Center for Clinical Research, Brisbane, Australia; Department of Microbiology, Pathology Queensland, Brisbane, Australia
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