Impact of the premature discharge on hospital mortality after a stay in an intensive care unit

Rodríguez-Carvajal, Manuel; Mora, D.; Doblas, A.; García, María Isabel Ruiz; Domínguez, Pilar; Tristancho, Antonio Fernández; Herrera, María

doi:10.1016/s2173-5727(11)70018-2

Cited by 12 publications

(9 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this high-volume study, despite the pressure of increased demand on triage decisions, in-hospital mortality rate and the probability of home discharge were not negatively effected. Strain spurs providers to reduce their provision of what seems to be lowvalue care by critically re-examining needs for ICU-level care and transferring patients who could be equally wellmanaged outside the ICU setting (25,26). Consequently, readmission rates are lower in hospitals which have more ICU beds (27).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Readmitted Patients After Intensive Care Unit Discharge (Retrospective Study)

Çayören¹,

Müslümanoğlu²,

Sevdi³

et al. 2019

BMB

View full text Add to dashboard Cite

Nearly %10 of the discharged patients are readmitted to intensive care unit (ICU) at the same hospital stay. Reduction of readmission rates could be used as a hospital performance indicator. Our aim is to analyse the reasons and results of readmissions of patients who were discharged to a general ward from ICU in a two-year period. Method: Readmissions of the patients who had been treated in our ICU between the dates of 01.01.2015-31.12.2016 were analysed retrospectively. Demographic characteristics of patients, readmission rates, initial admission indications and comorbidities, distribution of readmission indications, timing of readmission after discharge, distribution of patients in terms of mechanical ventilation need, discharge time of readmitted patients at initial admission to ICU after weaning, readmission mortality rates, Glasgow Coma Scale (GCS), APACHE-II and SOFA scores of patients at initial admission and readmission were analysed and compared. Results: 59 patients (3.55%) are readmitted to ICU after discharge at the same hospital stay. When examining the departments where the readmitted patients came from, it is seen that 19 patients (32.2%) were readmitted to ICU from department of general surgery. 22 of readmissions (37.29%) occurred within first 48 hours after discharge. The most common reasons of readmissions are for postoperative monitoring after revisional surgery (44.07%) and acute respiratory failure (40.68%). Conclusion: The patients who are discharged from ICU are at a high risk of being readmitted to ICU (35). Readmission to ICU is associated with higher mortality risk than the initial admission. The first step of reducing Amaç: Taburcu edilen hastaların yaklaşık %10' u yatış süresi içerisinde yeniden yoğun bakım ünitesine (YBÜ) gitmektedir. YBÜ'ye yeniden yatış oranlarındaki azalma, hastane performansında bir kalite göstergesidir. Bu çalışmadaki amacımız, YBÜ'den hastane içine, iki yıllık süre içerisinde taburcu edilen hastaların yeniden yatışlarının nedenlerini ve sonuçlarını analiz etmektir. Yöntem: 01.01.2015-31.12.2016 tarihleri arasında hastanemiz YBÜ'de tedavi edilen hastaların tekrar yatışları geriye dönük olarak incelendi. Hastaların demografik özellikleri, tekrar yatış oranları, hastaların ilk yatış endikasyonları ve yandaş hastalıkları, tekrar yatışların endikasyonlarına göre dağılımı, tekrar yatışın taburculuk sonrası ne zaman gerçekleştiği, mekanik ventilasyon ihtiyacına göre hastaların dağılımı, tekrar yatışı olan hastaların birinci kabullerinde weaning sonrası taburcu olma zamanı, tekrar yatışlardaki mortalite oranları, hastaların YBÜ'ye ilk ve tekrar yatışındaki Glasgow Koma Skalası (GCS), APACHE-II ve SOFA skorları incelenerek kıyaslandı. Bulgular: YBÜ'den taburcu edilen ve hastaneden taburcu olmadan tekrar yatışı yapılan hasta sayısı 59 olarak bulundu (%3,55). Hastaların tekrar geldikleri bölümler incelendiğinde en fazla 19 (%32,2) hasta Genel Cerrahi Kliniği'ndendi. Tekrar kabul edilen hastaların 22'si (%37,29) taburcu edildikten sonraki ilk 48 saat içinde gerçekleşti. T...

show abstract

Section: Discussionmentioning

confidence: 99%

Evaluation of Readmitted Patients After Intensive Care Unit Discharge (Retrospective Study)

Çayören¹,

Müslümanoğlu²,

Sevdi³

et al. 2019

BMB

View full text Add to dashboard Cite

show abstract

“…9 Premature discharges from the ICU lead to increased readmission rates as well as significantly impact on mortality. 10 Several key measures and benchmarks have been investigated for making this clinical decision, such as the APACHE IV with new variables added to the APACHE III. While it can provide ICU length of stay predictions, the accuracy and utility is limited for individual patients.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Rothman Index Data to Predict Postdischarge Adverse Events in a Medical Intensive Care Unit

Gotur

Masud

Paranilam

et al. 2018

J Intensive Care Med

View full text Add to dashboard Cite

show abstract

“…There is no consistent evidence regarding the outcome of current official patient admission and discharge guidelines, which have to be adapted to individual ICU and hospital contexts (7)(8)(9). ICU admission and discharges policies are important not only in resource management terms but also in terms of critical patient care outcome.…”

Section: Discussionmentioning

confidence: 99%

“…The fitted statistical distribution models, F k (m k , s k ), for group Gk are based on the Lognormal and Loglogistic distributions, whose location parameters depend linearly on the independent variables mentioned: We find that the best fit for F k is obtained for the Lognormal (k 5 2, 3,5,6,7) and LogLogistic (k 5 1, 4, 8) distribution families.…”

Section: Appendix 1 Mathematical Developmentmentioning

confidence: 93%

A mathematical model for simulating daily bed occupancy in an intensive care unit*

Barado

Guergué

Esparza

et al. 2012

Critical Care Medicine

View full text Add to dashboard Cite

show abstract

Impact of the premature discharge on hospital mortality after a stay in an intensive care unit

Cited by 12 publications

References 24 publications

Evaluation of Readmitted Patients After Intensive Care Unit Discharge (Retrospective Study)

Evaluation of Readmitted Patients After Intensive Care Unit Discharge (Retrospective Study)

Analysis of Rothman Index Data to Predict Postdischarge Adverse Events in a Medical Intensive Care Unit

A mathematical model for simulating daily bed occupancy in an intensive care unit*

Contact Info

Product

Resources

About