Blair Wendlandt1, Agathe Ceppe1, Summer Choudhury1, Judith E Nelson2, Christopher E Cox3, Laura C Hanson1, Marion Danis4, James A Tulsky5, Shannon S Carson1. 1. 1 University of North Carolina School of Medicine, Chapel Hill, North Carolina. 2. 2 Memorial Sloan Kettering Cancer Center and Weill-Cornell Medical College, New York, New York. 3. 3 Duke University Medical Center, Durham, North Carolina. 4. 4 National Institutes of Health, Bethesda, Maryland; and. 5. 5 Dana Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Abstract
RATIONALE: Chronically critically ill patients are often dependent on family members for surrogate decision-making, and these surrogates are at high risk for emotional distress. We hypothesized that patient- and surrogate-specific risk factors for surrogate post-traumatic stress disorder (PTSD) symptoms can be identified early in the course of chronic critical illness. OBJECTIVES: To identify risk factors for PTSD symptoms in surrogate decision-makers of chronically critically ill patients. METHODS: We performed a secondary analysis of the database from a multicenter randomized trial of a communication intervention for chronic critical illness patients and surrogates. Variables preselected for plausible mechanism for increasing PTSD symptoms and identifiable by Day 10 of mechanical ventilation were included in the analysis for association with surrogate PTSD symptoms at 90 days, as measured by the Impact of Events Score-Revised (IES-R). Patient factors included demographics, insurance status, baseline functional status, chronic comorbidities, illness severity, and presence of advance directive. Surrogate variables included demographics, education level and employment, religion, relationship to patient, and Hospital Anxiety and Depression Scale score measured at enrollment. Multivariable linear regression models were then constructed for 26 potential risk factors, including biologically or mechanistically plausible confounders for each, with IES-R score as the outcome. All models were adjusted for multiple respondents, using a mixed model, considering the patients as a random factor. RESULTS: Our analysis included 306 surrogates for 224 patients. A total of 49% of patients were female, and mean age was 59 years (95% confidence interval [CI], 56.4-60.7). A total of 71% of surrogates were female, and mean age was 51 years (95% CI, 49.3-52.4). After examining each potential risk factor in a separate multivariable model, only Day-10 surrogate Hospital Anxiety and Depression Scale score (β coefficient = 1.02; 95% CI, 0.73-1.30) and patient unresponsiveness (β coefficient = 8.39; 95% CI, 0.83-15.95) were associated with higher IES-R scores. CONCLUSIONS: Among surrogate decision-makers for chronically critically ill patients, high anxiety and depression scores and patient unresponsiveness on or near Day 10 of mechanical ventilation are risk factors for PTSD symptoms at 90 days.
RCT Entities:
RATIONALE: Chronically critically illpatients are often dependent on family members for surrogate decision-making, and these surrogates are at high risk for emotional distress. We hypothesized that patient- and surrogate-specific risk factors for surrogate post-traumatic stress disorder (PTSD) symptoms can be identified early in the course of chronic critical illness. OBJECTIVES: To identify risk factors for PTSD symptoms in surrogate decision-makers of chronically critically illpatients. METHODS: We performed a secondary analysis of the database from a multicenter randomized trial of a communication intervention for chronic critical illnesspatients and surrogates. Variables preselected for plausible mechanism for increasing PTSD symptoms and identifiable by Day 10 of mechanical ventilation were included in the analysis for association with surrogate PTSD symptoms at 90 days, as measured by the Impact of Events Score-Revised (IES-R). Patient factors included demographics, insurance status, baseline functional status, chronic comorbidities, illness severity, and presence of advance directive. Surrogate variables included demographics, education level and employment, religion, relationship to patient, and Hospital Anxiety and Depression Scale score measured at enrollment. Multivariable linear regression models were then constructed for 26 potential risk factors, including biologically or mechanistically plausible confounders for each, with IES-R score as the outcome. All models were adjusted for multiple respondents, using a mixed model, considering the patients as a random factor. RESULTS: Our analysis included 306 surrogates for 224 patients. A total of 49% of patients were female, and mean age was 59 years (95% confidence interval [CI], 56.4-60.7). A total of 71% of surrogates were female, and mean age was 51 years (95% CI, 49.3-52.4). After examining each potential risk factor in a separate multivariable model, only Day-10 surrogate Hospital Anxiety and Depression Scale score (β coefficient = 1.02; 95% CI, 0.73-1.30) and patient unresponsiveness (β coefficient = 8.39; 95% CI, 0.83-15.95) were associated with higher IES-R scores. CONCLUSIONS: Among surrogate decision-makers for chronically critically illpatients, high anxiety and depression scores and patient unresponsiveness on or near Day 10 of mechanical ventilation are risk factors for PTSD symptoms at 90 days.
Authors: Douglas B White; Derek C Angus; Anne-Marie Shields; Praewpannarai Buddadhumaruk; Caroline Pidro; Cynthia Paner; Elizabeth Chaitin; Chung-Chou H Chang; Francis Pike; Lisa Weissfeld; Jeremy M Kahn; Joseph M Darby; Amy Kowinsky; Susan Martin; Robert M Arnold Journal: N Engl J Med Date: 2018-05-23 Impact factor: 91.245
Authors: Jin H Han; Eduard E Vasilevskis; Ayumi Shintani; Amy J Graves; John F Schnelle; Robert S Dittus; James S Powers; Amanda Wilson; Alan B Storrow; E Wesley Ely Journal: J Hosp Med Date: 2014-10-29 Impact factor: 2.960
Authors: Blair Wendlandt; Agathe Ceppe; Summer Choudhury; Christopher E Cox; Laura C Hanson; Marion Danis; James A Tulsky; Judith E Nelson; Shannon S Carson Journal: Intensive Care Med Date: 2019-02-21 Impact factor: 17.440
Authors: Blair Wendlandt; Agathe Ceppe; Bradley N Gaynes; Christopher E Cox; Laura C Hanson; Judith E Nelson; Shannon S Carson Journal: Crit Care Explor Date: 2022-03-01
Authors: Qiang Zhang; Andrea K Knies; Jolanta Pach; Tara Kimbrough; Aida Martinez; Prerak Juthani; Stephanie Tu; Joan K Monin; Ana-Maria Vranceanu; David Y Hwang Journal: Crit Care Explor Date: 2022-08-29