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Journals / Türk Yoğun Bakım Dergisi / 2020 / Cilt: 18 - Sayı: 1

Evaluation of Readmission to Intensive Care Unit Prediction Score in a Teaching Hospital

Yoğun Bakıma Yeniden Başvuru Tahmin Skorunun Bir Eğitim Hastanesinde Değerlendirilmesi

İlkay CEYLAN
Sevim BALTALI
Ali Giray KARA
Veysel ERDEN
Pages
28–34
DOI
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AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: The SWIFT score calculated on the day of discharge was not sufficient to determine re-admission in patients admitted to our ICU for non-surgical reasons.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: Readmission rates of patients discharged from the intensive care unit (ICU) are high.
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Key Findings & Data:Materials and Methods: This study was performed between July 1, 2017 and December 31, 2017 as a prospective observational study in a tertiary training hospital ICU.
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Conclusion & Impact:Conclusion: The SWIFT score calculated on the day of discharge was not sufficient to determine re-admission in patients admitted to our ICU for non-surgical reasons.
🔬Design:Research Article
📍Scope:2017 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: Readmission rates of patients discharged from the intensive care unit (ICU) are high. The Stability and Workload Index for Transfer (SWIFT) score is an objective and validated scoring system that has been developed to prevent or predict readmission to ICU. We aimed to evaluate the usability of SWIFT score in a high occupancy ICU at our hospital settings. Materials and Methods: This study was performed between July 1, 2017 and December 31, 2017 as a prospective observational study in a tertiary training hospital ICU. The patients who were discharged to the ward or coronary ICU at least two days after hospitalization in ICU for non-surgical reasons and readmitted within the first seven days after discharge were included in the study. The SWIFT and Acute Physiology and Chronic Health Evaluation-2 (APACHE-2) scores of the patients were calculated according to the worst parameters of last 24 hours. Results: During the study period, 201 patients were discharged and 53 patients were included in the study. Of all patients, 20.75% were readmitted to ICU in the first seven days after discharge. There was no significant difference between re-admitted and non-re-admitted groups in terms of SWIFT and APACHE-2 scores, which were calculated with the worst values on the day of discharge. For the SWIFT score, we found the area under ROC as 0.458. Conclusion: The SWIFT score calculated on the day of discharge was not sufficient to determine re-admission in patients admitted to our ICU for non-surgical reasons.

Özet

Amaç: Yoğun bakım ünitesinden (YBÜ) taburcu edilen hastaların yeniden başvuru oranları yüksektir. Yeniden başvuruyu engellemek veya tahmin etmek amacıyla geliştirilen ve objektif verilere dayanan Yeniden Başvuru Tahmin skoru (SWIFT), yeniden başvuruyu tahmin etmede geçerliliği gösterilmiş bir skorlama sistemidir. SWIFT skorunu yüksek hasta devinimi olan bir yoğun bakımda kullanarak hastanemiz şartlarında kullanımını değerlendirmeyi amaçladık. Gereç ve Yöntem: Prospektif gözlemsel planladığımız çalışmamızda 1 Temmuz 2017 ile 31 Aralık 2017 tarihleri arasında tersiyer bir eğitim hastanesi YBÜ’de yapıldı. Çalışmaya, cerrahi dışı sebeplerle en az iki gün YBÜ yatışı sonrası kliniğe veya koroner YBÜ’ye taburcu edilmiş ve taburculuk sonrası ilk yedi gün içinde yeniden başvuran hastalar dahil edildi. Bulgular: Çalışma süresince 201 hasta yoğun bakımdan taburcu edilmiş olup 53 hasta çalışmaya dahil edilmiştir. Hastaların %20,75 taburculuk sonrası ilk yedi gün içinde yoğun bakıma yeniden başvurmuştur. Yeniden başvuran ve başvurmayan hastalar arasında yeniden başvurunun belirlenmesinde taburculuk günü en kötü değerler ile hesaplanan SWIFT ve Akut Fizyoloji ve Kronik Sağlık Değerlendirmesi-2 ‘Acute Physiology and Chronic Health Evaluation-2’ skorları arasında fark saptanmadı. SWIFT skoru için ROC altında kalan değeri 0,458 olarak hesaplandı. Sonuç: Hastalarımızda taburculuk günü hesaplanan SWIFT skoru, cerrahi dışı nedenlerle YBÜ’ye yatan hastalarda yeniden başvuruyu belirlemede yeterli bulunmadı.

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Cite This Article

CEYLAN, İ., BALTALI, S., KARA, A. G., ERDEN, V. (2020). Evaluation of Readmission to Intensive Care Unit Prediction Score in a Teaching Hospital. Türk Yoğun Bakım Dergisi, Cilt: 18 - Sayı: 1, 28–34. https://ajindex.com/articles/327669

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