Acute palliative care unit–initiated interventions for advanced cancer patients at the end of life: prediction of impending death based on Glasgow Prognostic Score

Nagasako, Yoshihide; Suzuki, Masahiro; Iriyama, Tetsuji; Nagasawa, Yoko; Katayama, Yoshiki; Masuda, Kazuyuki

doi:10.1007/s00520-020-05638-z

Cited by 6 publications

(4 citation statements)

References 45 publications

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“…Nagasako et al stated that mGPS had a prognostic value on predicting death in advanced cancer patients in palliative care units (28). Bolat and Biteker reported that mGPS could be used to predict prognosis in heart failure patients with preserved ejection fraction in their study and they excluded patients related with cancer and inflammatory phases (9).…”

Section: Discussionmentioning

confidence: 99%

The Effect of Laboratory Parameters and Prognostic Scores on Cardiopulmonary Resuscitation in Coronavirus Disease-19 Patients in Intensive Care Unit

Öztürk Sönmez

2023

Mevmedsci

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ÖZET Amaç: COVID-19 hastalarının yaklaşık üçte biri kritik hastalığa yakalanmaktadır. Modifiye Glasgow prognostik skoru(mGPS) ve modifiye sistemik inflamasyon skoru(mSIS), sistemik inflamasyonu gösterir. Bu çalışmanın amacı, COVID-19 olan ve kardiyopulmoner resüsitasyon(CPR) girişiminde bulunan hastalarda kan değerlerinin karşılaştırılmasıyla mGPS, mSIS ve CPR sonucu(spontan dolaşımın geri dönüşü ya da ölüm) arasındaki ilişkiyi değerlendirmektir. Gereç ve Yöntem: COVID-19 nedeniyle yoğun bakımda yatışı gereken ve CPR uygulanan 65 hasta geriye dönük olarak tarandı. Hastalar CPR sonrası ölen hastaları kapsayan GroupEX (n=45) ve spontan dolaşımın geri dönüşü sağlanan hastaları kapsayan GroupROSC (ROSC) (n=20) olarak iki gruba ayrıldı. Hastaların mGPS ve mSIS değerleri hesaplandı. Bulgular: GrupROSC’ da nötrofil yüzdesi, INR ve bilirubin anlamlı düşük; monosit yüzdesi ve albumin anlamlı yüksek olarak saptandı (p< 0.001, p=0.01, p=0.04, p= 0.01, p=0.004 , p<0.001 sırasıyla). Ek olarak, iki grup arasında mGPS' de anlamlı bir fark vardı (p=0,032). ROC analizinde mSIS ve mGPS, GroupEX'te daha yüksek puanlar gösterdi. mSIS duyarlılığı ve özgüllüğü sırasıyla %83,7 ve %68,4 (p=0,34) ve mGPS duyarlılığı ve özgüllüğü sırasıyla %95,3 ve %68,4 (p=0,09) olarak saptandı. Sonuç: Sonuçlarımıza göre mGPS ve mSIS, CPR sonuç tahminine katkıda bulunabilir. Anahtar Kelimeler: COVID-19, mGPS, mSIS, serum biyokimyası, resüsitasyon

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Section: Discussionmentioning

confidence: 99%

The Effect of Laboratory Parameters and Prognostic Scores on Cardiopulmonary Resuscitation in Coronavirus Disease-19 Patients in Intensive Care Unit

Öztürk Sönmez

2023

Mevmedsci

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“…Nagasako et al. 84 constructed a three-variable model (CRP, albumin and platelets) for predicting imminent death in patients with advanced cancer ( N = 991; median survival 13 days). The model had a sensitivity of 18%, specificity of 98%, positive LR of 7.1 and negative LR of 0.84 for predicting death within 3 days of admission.…”

Section: Prognosticating In Patients With An Expected Survival Of Daysmentioning

confidence: 99%

Prognostic evaluation in patients with advanced cancer in the last months of life: ESMO Clinical Practice Guideline

Stone¹,

Buckle²,

Dolan³

et al. 2023

ESMO Open

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“…From our literature review, few studies in the past 2 years have examined the performance of these scores in the advanced cancer setting. Limited data still show that the scores could classify different types of cancer patients into distinct prognostic groups in a variety of clinical settings, including acute 38▪ and palliative care settings 30,39.…”

Section: Instruments Available To Make a Prognosismentioning

confidence: 99%

Survival prediction in advanced cancer patients – a narrative review

Lee

Simone

2023

Current Opinion in Supportive &Amp; Palliative Care

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Purpose of reviewThe exploration for accurate ways to predict survival for advanced cancer patients continues to be a significant theme despite the advent of objective criteria and their combination with clinical criteria. The purpose of this article was to review some of the latest studies relating to prognostication and the capacity to predict survival during the terminal cancer stage. Recent findingsRecent studies show notable prognostication approaches using genetic tests and advanced computation methods such as machine learning, which we will summarize.

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Acute palliative care unit–initiated interventions for advanced cancer patients at the end of life: prediction of impending death based on Glasgow Prognostic Score

Cited by 6 publications

References 45 publications

The Effect of Laboratory Parameters and Prognostic Scores on Cardiopulmonary Resuscitation in Coronavirus Disease-19 Patients in Intensive Care Unit

The Effect of Laboratory Parameters and Prognostic Scores on Cardiopulmonary Resuscitation in Coronavirus Disease-19 Patients in Intensive Care Unit

Prognostic evaluation in patients with advanced cancer in the last months of life: ESMO Clinical Practice Guideline

Survival prediction in advanced cancer patients – a narrative review

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