Use of illness severity scores to predict mortality in interstitial lung disease patients hospitalised with acute respiratory deterioration
Hospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting adverse outcomes are not fully understood and data addressing the use of illness severity scores in prognostication are limited. To investigate the use of CUR...
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Published in | Respiratory medicine Vol. 212; p. 107220 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.06.2023
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Abstract | Hospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting adverse outcomes are not fully understood and data addressing the use of illness severity scores in prognostication are limited.
To investigate the use of CURB-65 and NEWS-2 severity scores in the prediction of mortality following ARD-ILD hospitalisation, using prospective methodology and to validate previously determined cut-offs, derived from a retrospective study cohort.
A dual-centre prospective observational cohort study of all adults (≥18y) hospitalised with ARD-ILD in Bristol, UK (n = 179). Gender-Age-Physiology (GAP), CURB-65 and NEWS-2 scores were calculated for each eligible admission.
Receiver operating characteristics (ROC) curve analysis was used to quantify the strength of discrimination for NEWS-2 and CURB-65 scores. Univariable and multivariable logistic regression analyses were performed to explore the relationship between baseline severity scores and mortality.
GAP showed some merit at predicting 30-day mortality (AUC = 0.64, P = 0.015); whereas CURB-65 showed modest predictive value for in-hospital (AUC = 0.72, P < 0.001) and 90-day mortality (AUC = 0.67, P < 0.001). NEWS-2 showed higher predictive value for in-hospital (AUC = 0.80, P < 0.001) and 90-day mortality (AUC = 0.75, P < 0.001), with an optimal derived cut-off ≥6.5 found to be sensitive and specific for predicting in-hospital (83% and 63%) and 90-day (73% and 72%) mortality. In exploratory analyses, GAP score addition improved the predictive ability of NEWS-2 against 30-day mortality and CURB-65 across all time-periods.
NEWS-2 has good discriminatory value for predicting in-hospital mortality and moderate discriminatory value for predicting 90-day mortality. The optimal NEWS-2 cut-off value determined was the same as in a previous retrospective cohort, confirming the NEWS-2 score shows promise in predicting mortality following ARD-ILD hospitalisation.
•ARD-ILD is associated with high in-hospital, 30- and 90- day mortality, irrespective of cause.•NEWS-2 has high sensitivity and specificity in predicting 90d & in-hospital mortality in ARD-ILD.•CURB-65 showed high sensitivity for predicting mortality but low specificity.•CURB-65 did not add value to the NEWS-2 predictive ability.•Simple illness severity scores may support refinement of ARD-ILD management pathways. |
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AbstractList | INTRODUCTIONHospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting adverse outcomes are not fully understood and data addressing the use of illness severity scores in prognostication are limited. OBJECTIVETo investigate the use of CURB-65 and NEWS-2 severity scores in the prediction of mortality following ARD-ILD hospitalisation, using prospective methodology and to validate previously determined cut-offs, derived from a retrospective study cohort. METHODSA dual-centre prospective observational cohort study of all adults (≥18y) hospitalised with ARD-ILD in Bristol, UK (n = 179). Gender-Age-Physiology (GAP), CURB-65 and NEWS-2 scores were calculated for each eligible admission. Receiver operating characteristics (ROC) curve analysis was used to quantify the strength of discrimination for NEWS-2 and CURB-65 scores. Univariable and multivariable logistic regression analyses were performed to explore the relationship between baseline severity scores and mortality. RESULTSGAP showed some merit at predicting 30-day mortality (AUC = 0.64, P = 0.015); whereas CURB-65 showed modest predictive value for in-hospital (AUC = 0.72, P < 0.001) and 90-day mortality (AUC = 0.67, P < 0.001). NEWS-2 showed higher predictive value for in-hospital (AUC = 0.80, P < 0.001) and 90-day mortality (AUC = 0.75, P < 0.001), with an optimal derived cut-off ≥6.5 found to be sensitive and specific for predicting in-hospital (83% and 63%) and 90-day (73% and 72%) mortality. In exploratory analyses, GAP score addition improved the predictive ability of NEWS-2 against 30-day mortality and CURB-65 across all time-periods. CONCLUSIONNEWS-2 has good discriminatory value for predicting in-hospital mortality and moderate discriminatory value for predicting 90-day mortality. The optimal NEWS-2 cut-off value determined was the same as in a previous retrospective cohort, confirming the NEWS-2 score shows promise in predicting mortality following ARD-ILD hospitalisation. Hospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting adverse outcomes are not fully understood and data addressing the use of illness severity scores in prognostication are limited. To investigate the use of CURB-65 and NEWS-2 severity scores in the prediction of mortality following ARD-ILD hospitalisation, using prospective methodology and to validate previously determined cut-offs, derived from a retrospective study cohort. A dual-centre prospective observational cohort study of all adults (≥18y) hospitalised with ARD-ILD in Bristol, UK (n = 179). Gender-Age-Physiology (GAP), CURB-65 and NEWS-2 scores were calculated for each eligible admission. Receiver operating characteristics (ROC) curve analysis was used to quantify the strength of discrimination for NEWS-2 and CURB-65 scores. Univariable and multivariable logistic regression analyses were performed to explore the relationship between baseline severity scores and mortality. GAP showed some merit at predicting 30-day mortality (AUC = 0.64, P = 0.015); whereas CURB-65 showed modest predictive value for in-hospital (AUC = 0.72, P < 0.001) and 90-day mortality (AUC = 0.67, P < 0.001). NEWS-2 showed higher predictive value for in-hospital (AUC = 0.80, P < 0.001) and 90-day mortality (AUC = 0.75, P < 0.001), with an optimal derived cut-off ≥6.5 found to be sensitive and specific for predicting in-hospital (83% and 63%) and 90-day (73% and 72%) mortality. In exploratory analyses, GAP score addition improved the predictive ability of NEWS-2 against 30-day mortality and CURB-65 across all time-periods. NEWS-2 has good discriminatory value for predicting in-hospital mortality and moderate discriminatory value for predicting 90-day mortality. The optimal NEWS-2 cut-off value determined was the same as in a previous retrospective cohort, confirming the NEWS-2 score shows promise in predicting mortality following ARD-ILD hospitalisation. •ARD-ILD is associated with high in-hospital, 30- and 90- day mortality, irrespective of cause.•NEWS-2 has high sensitivity and specificity in predicting 90d & in-hospital mortality in ARD-ILD.•CURB-65 showed high sensitivity for predicting mortality but low specificity.•CURB-65 did not add value to the NEWS-2 predictive ability.•Simple illness severity scores may support refinement of ARD-ILD management pathways. Hospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting adverse outcomes are not fully understood and data addressing the use of illness severity scores in prognostication are limited. To investigate the use of CURB-65 and NEWS-2 severity scores in the prediction of mortality following ARD-ILD hospitalisation, using prospective methodology and to validate previously determined cut-offs, derived from a retrospective study cohort. A dual-centre prospective observational cohort study of all adults (≥18y) hospitalised with ARD-ILD in Bristol, UK (n = 179). Gender-Age-Physiology (GAP), CURB-65 and NEWS-2 scores were calculated for each eligible admission. Receiver operating characteristics (ROC) curve analysis was used to quantify the strength of discrimination for NEWS-2 and CURB-65 scores. Univariable and multivariable logistic regression analyses were performed to explore the relationship between baseline severity scores and mortality. GAP showed some merit at predicting 30-day mortality (AUC = 0.64, P = 0.015); whereas CURB-65 showed modest predictive value for in-hospital (AUC = 0.72, P < 0.001) and 90-day mortality (AUC = 0.67, P < 0.001). NEWS-2 showed higher predictive value for in-hospital (AUC = 0.80, P < 0.001) and 90-day mortality (AUC = 0.75, P < 0.001), with an optimal derived cut-off ≥6.5 found to be sensitive and specific for predicting in-hospital (83% and 63%) and 90-day (73% and 72%) mortality. In exploratory analyses, GAP score addition improved the predictive ability of NEWS-2 against 30-day mortality and CURB-65 across all time-periods. NEWS-2 has good discriminatory value for predicting in-hospital mortality and moderate discriminatory value for predicting 90-day mortality. The optimal NEWS-2 cut-off value determined was the same as in a previous retrospective cohort, confirming the NEWS-2 score shows promise in predicting mortality following ARD-ILD hospitalisation. |
ArticleNumber | 107220 |
Author | Adegbite, David Begier, Beth Manning, Nicola Brzezinska, Julia Mona, Taslima Szasz-Benczur, Zsuzsa Maskell, Nick A. Fox, Kazminder Finn, Adam Suppiah, Seevakumar Walters, Rhian Turner, Anabella Ward, Lana Robertshaw, Joe Morrison, Leigh Perkins, Fiona Hyams, Catherine Jodar, Luis Helliker, Kate Grimwood, Lucy Riaz, Tawassal Osborne, Bethany Maseko, Zandile Southern, Jo Gonzalez, Maria Garcia Arachchge, Sandi Nammuni Smart, Lily Langdon, Amelia Lazarus, Rajeka Morley, Anna Mattocks, Anya Sequenza, Peter Antico, Rupert Campling, James Ellsbury, Gillian Grace, Niall Fleming, Leah Huber, Robyn Scott, Emma Grimes, Charli Kinney, Jane Vasquez, Marianne Heath, Robyn Marlow, Robin Wright, Louise Bayley, Francesca Mackay, Vicki Cloake, Julie Taylor, Zoe White, Paul Griffiths, Oliver Ruffino, Gabriella Tilzey, Grace Maughan, Katie Williams, Rachel L. Wright, Johanna Kellett Valentine, Gabriella Minou, Konstantina Bellavia, Maddalena Clout, Madeleine Bridgeman, Emma Gessner, Bradford Gray, Sharon Chang, Natalie Milutinovic, Katarina Friedrich, Zsolt Mitchell, C |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36997098$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Contributor | Adegbite, David Begier, Beth Manning, Nicola Brzezinska, Julia Mona, Taslima Fox, Kazminder Suppiah, Seevakumar Walters, Rhian Turner, Anabella Ward, Lana Morrison, Leigh Perkins, Fiona Jodar, Luis Helliker, Kate Grimwood, Lucy Riaz, Tawassal Osborne, Bethany Maseko, Zandile Southern, Jo Arachchge, Sandi Nammuni Smart, Lily Langdon, Amelia Lazarus, Rajeka Morley, Anna Mattocks, Anya Sequenza, Peter Antico, Rupert Campling, James Ellsbury, Gillian Grace, Niall Fleming, Leah Huber, Robyn Scott, Emma Grimes, Charli Kinney, Jane Vasquez, Marianne Heath, Robyn Marlow, Robin Wright, Louise Bayley, Francesca Mackay, Vicki Cloake, Julie Taylor, Zoe Griffiths, Oliver Ruffino, Gabriella Tilzey, Grace Maughan, Katie Wright, Johanna Kellett Valentine, Gabriella Minou, Konstantina Bellavia, Maddalena Clout, Madeleine Bridgeman, Emma Gessner, Bradford Gray, Sharon Chang, Natalie Milutinovic, Katarina Friedrich, Zsolt Mitchell, Claire Croxford, Pip Jeenes-Flanagan, Milo |
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University of Bristol, UK – sequence: 50 givenname: Lily surname: Smart fullname: Smart, Lily organization: Bristol Vaccine Centre, University of Bristol, UK – sequence: 51 givenname: Emma surname: Scott fullname: Scott, Emma organization: Clinical Research and Imaging Centre, UHBW NHS Trust, UK – sequence: 52 givenname: Jo surname: Southern fullname: Southern, Jo organization: Vaccines Medical Development, Scientific & Clinical Affairs, Pfizer Inc, UK – sequence: 53 givenname: Seevakumar surname: Suppiah fullname: Suppiah, Seevakumar organization: North Bristol NHS Trust, UK – sequence: 54 givenname: Zoe surname: Taylor fullname: Taylor, Zoe organization: Bristol Vaccine Centre, University of Bristol, UK – sequence: 55 givenname: Grace surname: Tilzey fullname: Tilzey, Grace organization: Clinical Research and Imaging Centre, UHBW NHS Trust, UK – sequence: 56 givenname: Anabella surname: Turner fullname: Turner, Anabella organization: Clinical Research and Imaging Centre, UHBW NHS Trust, UK – sequence: 57 givenname: Gabriella surname: Valentine fullname: Valentine, Gabriella organization: Bristol Vaccine Centre, University of Bristol, UK – sequence: 58 givenname: Marianne surname: Vasquez fullname: Vasquez, Marianne organization: North Bristol NHS Trust, UK – sequence: 59 givenname: Rhian surname: Walters fullname: Walters, Rhian organization: Clinical Research and Imaging Centre, UHBW NHS Trust, UK – sequence: 60 givenname: Lana surname: Ward fullname: Ward, Lana organization: North Bristol NHS Trust, UK – sequence: 61 givenname: Louise surname: Wright fullname: Wright, Louise organization: North Bristol NHS Trust, UK |
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Keywords | Pulmonary fibrosis Interstitial lung disease Acute respiratory deterioration Severity scores |
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Snippet | Hospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting adverse outcomes... INTRODUCTIONHospitalisations relating to acute respiratory deteriorations (ARD) in Interstitial Lung Disease (ILD) have poor outcomes. Factors predicting... |
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SubjectTerms | Acute respiratory deterioration Adult Hospital Mortality Humans Interstitial lung disease Lung Diseases, Interstitial Patient Acuity Prognosis Prospective Studies Pulmonary fibrosis Retrospective Studies ROC Curve Severity of Illness Index Severity scores |
Title | Use of illness severity scores to predict mortality in interstitial lung disease patients hospitalised with acute respiratory deterioration |
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