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Comparison of Quick Sequential Organ Failure Assessment and Modified Systemic Inflammatory Response Syndrome Criteria in a Lower Middle Income Setting.
Beane, Abi; Silva, Ambepitiyawaduge Pubudu De; Munasinghe, Sithum; Silva, Nirodha De; Arachchige, Sujeewa Jayasinghe; Athapattu, Priyantha; Sigera, Ponsuge Chathurani; Miskin, Muhammed Faisal; Liyanagama, Pramod Madushanka; Rathnayake, Rathnayake Mudiyanselage Dhanapala; Jayasinghe, Kosala Saroj Amarasiri; Dondorp, Arjen M; Haniffa, Rashan.
Afiliação
  • Beane A; Network for Improving Critical Care Systems and Training Colombo Sri Lanka.
  • Silva AP; Ministry of Health National Intensive Care Surveillance Colombo Sri Lanka.
  • Munasinghe S; Network for Improving Critical Care Systems and Training Colombo Sri Lanka.
  • Silva N; Ministry of Health National Intensive Care Surveillance Colombo Sri Lanka.
  • Arachchige SJ; District General Hospital Monaragala Sri Lanka.
  • Athapattu P; District General Hospital Monaragala Sri Lanka.
  • Sigera PC; Ministry of Health Department of Medical Services Colombo Sri Lanka.
  • Miskin MF; Network for Improving Critical Care Systems and Training Colombo Sri Lanka.
  • Liyanagama PM; Ministry of Health National Intensive Care Surveillance Colombo Sri Lanka.
  • Rathnayake RMD; Network for Improving Critical Care Systems and Training Colombo Sri Lanka.
  • Jayasinghe KSA; Network for Improving Critical Care Systems and Training Colombo Sri Lanka.
  • Dondorp AM; District General Hospital Monaragala Sri Lanka.
  • Haniffa R; Faculty of Medicine Department of Clinical Medicine Colombo Sri Lanka.
J Acute Med ; 7(4): 141-148, 2017 Dec 01.
Article em En | MEDLINE | ID: mdl-32995188
ABSTRACT

INTRODUCTION:

Quick Sequential Organ Failure Assessment (qSOFA) is potentially feasible tool to identify risk of deteriorating in the context of infection for to use in resource limited settings.

PURPOSE:

To compare the discriminative ability of qSOFA and a simplified systemic inflammatory response syndrome (SIRS) score to detect deterioration in patients admitted with infection.

METHODS:

Observational study conducted at District General Hospital Monaragala, Sri Lanka, utilising bedside available observations extracted from healthcare records. Discrimination was evaluated using area under the receiver operating curve (AUROC). 15,577 consecutive adult ( ≥ 18 years) admissions were considered. Patients classifi ed as having infection per ICD-10 diagnostic coding were included.

RESULTS:

Both scores were evaluated for their ability to discriminate patients at risk of death or a composite adverse outcome (death, cardiac arrest, intensive care unit [ICU], admission or critical care transfer). 1844 admissions (11.8%) were due to infections with 20 deaths (1.1%), 29 ICU admissions (1.6%), 30 cardiac arrests and 9 clinical transfers to a tertiary hospital (0.5%). Sixty-seven (3.6%) patients experienced at least one event. Complete datasets were available for qSOFA in 1238 (67.14%) and for simplified SIRS (mSIRS) in 1628 (88.29%) admissions. Mean (SD) qSOFA score and mSIRS score at admission were 0.58 (0.69) and 0.66 (0.79) respectively. Both demonstrated poor discrimination for predicting adverse outcome AUROC = 0.625; 95% CI, 0.56-0.69 and AUROC = 0.615; 95% CI, 0.55-0.69 respectively) with no significant difference (p value = 0.74). Similarly, both systems had poor discrimination for predicting deaths (AUROC = 0.685; 95% CI, 0.55-0.82 and AUROC = 0.629; 95% CI, 0.50-0.76 respectively) with no statistically signifi cant difference (p value = 0.31).

CONCLUSIONS:

qSOFA at admission had poor discrimination and was not superior to the bedside observations featured in SIRS. Availability of observations, especially for mentation, is poor in these settings and requires strategies to improve reporting.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article