Survival models to support shared decision-making about advance care planning for people with advanced stage cystic fibrosis.
Survival models to support shared decision-making about advance care planning for people with advanced stage cystic fibrosis.
复制标题
生存模型,以支持有关高级阶段囊性纤维化患者进行预先护理计划的共同决策。
DOI:
10.1136/bmjresp-2020-000794
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发表时间:
2021-05
影响因子:
4.1
通讯作者:
Lesser ML
中科院分区:
文献类型:
--
作者:
Hajizadeh N;Zhang M;Akerman M;Kohn N;Mathew A;Hadjiliadis D;Wang J;Lesser ML
For people with advanced stage cystic fibrosis (CF), tailored survival estimates could facilitate preparation for decision-making in the event of acutely deteriorating respiratory function. We used the US CF Foundation national database (2008–2013) to identify adult people with incident advanced stage CF (forced expiratory volume in 1 s (FEV1) ≤45% predicted). Using the lasso method for variable selection, we divided the dataset into training and validation samples (2:1), and developed two multivariable Cox proportional hazards models to calculate probabilities of survival from baseline (T0 model), and from 1 year after (T12 model). We also performed Kaplan-Meier survival analyses. 4752 people were included. For the T0 model, FEV1; insurance; non-invasive ventilation; supplemental oxygen; Burkholderia colonisation; cirrhosis; depression; dialysis; current smoking; unclassifiable mutation class and cumulative CF exacerbations predicted increased mortality. Baseline transplant evaluation status of ‘accepted, on waiting list’ predicted decreased mortality. For the T12 model, interim decrease in FEV1 >10%, and pulmonary exacerbations additionally increased predicted mortality. Lung transplantation was associated with lower mortality. Of the 4752, 93.5%, 86.4%, 79.7% and 73.9% survived to 1, 2, 3 and 4 years, respectively, without considering any confounding variables. The models had moderate predictive ability indicated by the area under the time-dependent receiver operating characteristic curve (0.787, 95% CI 0.769 to 0.794 for T0 model; and 0.779, 95% CI 0.767 to 0.797 for T12 model). We have developed models predicting survival in people with incident advanced stage CF, which can be reapplied over time to support shared decision-making about end-of-life treatment choices and lung transplantation. These estimates must be updated as data become available regarding long-term outcomes for people treated with CF transmembrane conductance regulator modulators.
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影响因子:
3.2
作者:
Charles, C;Gafni, A;O'Brien, MA
通讯作者:
O'Brien, MA
DOI:
10.1046/j.1532-5415.2003.51457.x
发表时间:
2003-10-01
影响因子:
6.3
作者:
Fried, TR;Bradley, EH;O'Leary, J
通讯作者:
O'Leary, J
影响因子:
7.2
作者:
Aaron, Shawn D.;Stephenson, Anne L.;Whitmore, George A.
通讯作者:
Whitmore, George A.
影响因子:
5
作者:
Liou, TG;Adler, FR;Marshall, BC
通讯作者:
Marshall, BC
影响因子:
120.7
作者:
CARRESE, JA;RHODES, LA
通讯作者:
RHODES, LA