Pregled bibliografske jedinice broj: 942048
A simple prognostic model for assessing in-hospital mortality risk in patients with acutely decompensated heart failure
A simple prognostic model for assessing in-hospital mortality risk in patients with acutely decompensated heart failure // Acta clinica belgica, 74 (2019), 2; 102-109 doi:10.1080/17843286.2018.1483562 (međunarodna recenzija, članak, znanstveni)
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Naslov
A simple prognostic model for assessing in-hospital mortality risk in patients with acutely decompensated heart failure
Autori
Zaninović Jurjević, Teodora ; Dvornik, Štefica ; Kovačić, Slavica ; Matana Kaštelan, Zrinka ; Brumini, Gordana ; Matana, Ante ; Zaputović, Luka
Izvornik
Acta clinica belgica (1784-3286) 74
(2019), 2;
102-109
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Heart failure ; Mortality ; Prognostic model
Sažetak
Background: An assessing of the in-hospital mortality risk for an emergency hospitalized patient with acutely decompensated heart failure (ADHF) is challenging task. Simple formula can help. Methods: On the base of six indicators identified in derivation group, simple formula for assessing the risk for in-hospital mortality of ADHF patients was derived and later tested in validation group. Results: The retrospective analysis of a derivation group (533 survivors, 121 deceased) identified six risk indicators: age, heart rate (HR), systolic blood pressure (SBP) and serum concentrations of urea, sodium (Na) and uric acid (UA). The final formula was created ([age/10]2 × HR/SBP)+(Urea-Na/10)+UA/100 and formula result of 53 was established as cut-off result. In the derivation group, at the cut-off point of 53, area under the ROC curve (AUC) was 0.741 (95% CI 0.701–0.776) ; with sensitivity 54% and specificity 83%. The discriminative capacity of the formula was significantly higher than each of its components. In the validation group of 591 patients (527 survived, 64 died) AUC was also 0.741 (95% CI 0.706–0.774), sensitivity was 66% and specificity 76%. Positive predictive value (PPV) of the developed formula was modest (34%), but negative predictive value (NPV) was 95%. N-terminal pro-B type natriuretic peptide and troponin I were determined, but not included into formula. Conclusions: The developed formula enables simple, rapid and inexpensive risk assessment, but its disadvantage is a low PPV. However, a high NPV permits the identification of patients with a low risk of in-hospital mortality, which could lead to a more rational patient treatment.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Rijeka,
Klinički bolnički centar Rijeka,
Fakultet zdravstvenih studija u Rijeci
Profili:
Gordana Brumini
(autor)
Štefica Dvornik
(autor)
Teodora Zaninović Jurjević
(autor)
Ante Matana
(autor)
Zrinka Matana Kaštelan
(autor)
Luka Zaputović
(autor)
Slavica Kovačić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE