Abstract
Objective
To evaluate the co-occurrence, and predictors of remission, of general anxiety, depression, and posttraumatic stress disorder (PTSD) symptoms during 2-year follow-up in survivors of acute lung injury (ALI) treated in an intensive care unit (ICU).
Design, Setting, and Patients
This prospective cohort study enrolled 520 patients from 13 medical and surgical ICUs in 4 hospitals, with follow-up at 3, 6, 12, and 24 months post-ALI.
Measurements and Main Results
The outcomes of interest were measured using the Hospital Anxiety and Depression Scale (HADS) anxiety and depression subscales (scores ≥8 indicating substantial symptoms) and the Impact of Event Scale-Revised (IESR, scores ≥1.6 indicating substantial PTSD symptoms). Of the 520 enrolled patients, 274 died before 3-month follow-up; 186/196 consenting survivors (95%) completed at least one HADS and IESR assessment during 2-year follow-up, and most completed multiple assessments. Across follow-up time points, the prevalence of supra-threshold general anxiety, depression, and PTSD symptoms ranged from 38–44%, 26–33%, and 22–24%, respectively; more than half of the patients had supra-threshold symptoms in at least one domain during 2-year follow-up. The majority (59%) of survivors with any supra-threshold symptoms were above threshold for 2 or more types of symptoms (i.e., of general anxiety, depression, and/or PTSD). In fact, the most common pattern involved simultaneous general anxiety, depression, and PTSD symptoms. Most patients with general anxiety, depression, or PTSD symptoms during 2-year follow-up had supra-threshold symptoms at 24-month (last) follow-up. Higher SF-36 physical functioning domain scores at the prior visit were associated with a greater likelihood of remission from general anxiety and PTSD symptoms during follow-up.
Conclusions
The majority of ALI survivors had clinically significant general anxiety, depressive, or PTSD symptoms, and these symptoms tended to co-occur across domains. Better physical functioning during recovery predicted subsequent remission of general anxiety and PTSD symptoms.
Keywords: acute lung injury; anxiety; depression; posttraumatic stress disorder; assessments, patient outcomes; epidemiology
Introduction
Survivors of acute lung injury (ALI) and other critical illnesses frequently suffer with substantial general anxiety, depression, and posttraumatic stress disorder (PTSD) symptoms (1–3), as well as cognitive impairment (4) and muscle weakness (5). Since these phenomena occur so frequently in survivors of critical illness (6), a task force recently suggested the term “post-intensive care syndrome” (PICS) to raise awareness (7). In previous reports, we have separately examined the prevalence or incidence, and correlates, of general anxiety, depression, and PTSD symptoms in a large cohort of ALI survivors (8–13). However, we have not previously examined co-occurrence of symptoms across different domains, and we are unaware of prior studies of factors that may influence remission from these symptoms; hence, these issues are the focus of the current report. With such information, clinicians may be better prepared to care for the growing number of survivors of critical illness.
Materials and Methods
Study population
Mechanically ventilated patients with acute lung injury (ALI) (14) were enrolled consecutively in a prospective longitudinal cohort study involving 13 medical and surgical intensive care units (ICUs) at 4 hospitals in Baltimore, Maryland (ClinicalTrials.gov Identifier: NCT00300248). Specifically, we performed daily screening and enrolled mechanically ventilated patients who had acute-onset hypoxia, bilateral pulmonary infiltrates, PaO2/FiO2 ≤300 mmHg, and no clinical evidence of left atrial hypertension. Enrollment started in 2004 and ended in late 2007, with 2-year follow-up visits completed in 2010 (8). To avoid inclusion of patients with primary neurologic disease or head trauma, neurologic specialty ICUs at the participating hospitals were excluded. Key exclusion criteria were 1) pre-existing illness with a life expectancy of <6 months; 2) pre-existing cognitive impairment (ascertained via medical records and/or proxy interview) or communication/language barriers; 3) no fixed address; 4) transfer to a study site ICU with pre-existing ALI of >24 hours duration; 5) >5 days of mechanical ventilation before ALI; and 6) a physician order for no escalation of ICU care (e.g., no vasopressors or hemodialysis) at the time of study eligibility. The reasons for exclusion criteria 4 and 5 were that we wished to ensure collection of potentially relevant data regarding critical illness/intensive care early in the course of ALI or prior to onset of ALI.
Informed consent for follow-up was obtained after patients regained capacity, typically around the time of hospital discharge (15). Follow-up occurred at 3, 6, 12, and 24 months after the onset of ALI (or a few weeks later – median 3 weeks, interquartile range 0 to 7 weeks). Trained research assistants conducted the follow-up interviews, ensuring that patients understood the questions and gave answers that were internally consistent. Most of the interviews (88%) were conducted face-to-face – at a Johns Hopkins Hospital research clinic (61%), at patients’ homes (26%), or at another facility (e.g., a hospital or nursing home – 13%); most patients (58%) required at least one home or other facility visit. Twelve percent of the interviews were conducted over the telephone. Patients received $25 for each visit, as well as a meal coupon and taxi ride or parking voucher/mileage reimbursement. At the 24-month follow-up visit, patients reported retrospectively on mental health treatment since ALI. The institutional review boards of Johns Hopkins University and all participating study sites approved this research.
Definition of general anxiety, depression, and PTSD symptoms
At each follow-up time point, we assessed general anxiety and depressive symptoms using the Hospital Anxiety and Depression Scale (HADS) (16, 17). The HADS anxiety and depression subscales each consist of 7 items, and each item is rated on a 4-point scale; potential scores for each subscale range from 0 to 21. Patients with scores ≥8 on each subscale are considered symptomatic with general anxiety or depressive symptoms. The ≥8 threshold on each subscale is associated with sensitivities and specificities of ~0.8 for the detection of clinically significant anxiety or depressive syndromes in general medical patients (17). We chose the HADS because it was developed for detecting psychiatric symptoms in patients with general medical problems. For example, the HADS depression items primarily assess anhedonia, rather than neurovegetative symptoms (e.g., diminished energy) that could be symptomatic of general medical conditions (e.g., muscular weakness and fatigue) rather than depressive states.
We assessed PTSD symptoms using the Impact of Event Scale-Revised (IESR) (18). The IESR consists of 22 items, each rated on a 4-point scale; scores of all items are averaged to generate a mean total score with a potential range of 0 to 4. In a previous study, we examined the measurement properties of the IESR vs. clinicians’ structured interview-based DSM-IV PTSD diagnostic assessments (using the Clinician-Administered PTSD Scale) (19). At an optimal threshold of ≥1.6, the sensitivity for detecting full DSM-IV PTSD was 100%, and the specificity was 85%; positive and negative likelihood ratios were 6.5 and 0.0, respectively (19). Thus, we chose the ≥1.6 threshold in the current study to define clinically significant PTSD symptoms.
Definitions of remission and recurrence
We defined remission from general anxiety or depression symptoms as having HADS anxiety or depression scores <8 at any follow-up time point after symptoms were evident, along with a statistically reliable decrease in score using the Reliable Change Index (RCI) (20). To calculate the RCI, we employed standard deviation and test-retest reliability estimates from previous studies (21, 22). To have a statistically significant change, patients had to have a difference in scores of ≥4; this threshold is substantially larger than the minimal clinically important difference (1.5 points) established for these subscales (23). We defined recurrence as having a HADS anxiety or depression score ≥8 at any follow-up after remission, along with an increase in score of ≥4.
We defined remission from PTSD symptoms as having an IESR score ≤1.6 at any follow-up time point after PTSD symptoms were evident, along with a statistically reliable decrease in score using the RCI. To calculate the RCI, we employed standard deviation and test-retest reliability estimates from previous studies (24, 25). To have a statistically significant change, patients had to have a difference in scores of ≥0.5; note that this difference is slightly larger than that in our previous publication (13), as we now incorporate the standard deviation from a recent large population-based study (24). We defined recurrence as having an IESR score ≥1.6 at any follow-up after remission, along with an increase in score of ≥0.5.
Predictors of remission
Based on results from prior studies of remission of PTSD and depression (26–28), we evaluated candidate baseline (pre-ALI) variables that could affect remission. These baseline variables included: [1] demographic factors (age, sex, education, employment, and 2011 median income in the patient’s zip code (29–31); [2] mental health factors (a history of depression, anxiety, heavy alcohol use, or illicit drug use); [3] general health factors (evaluated using the Charlson Comorbidity Index (32) and the Functional Comorbidity Index (33)); and [4] physical functioning, defined in two ways: [i] “impaired physical function,” defined as ≥2 dependencies in instrumental activities of daily living (IADLs) (12, 34), and [ii] the SF-36 physical function domain score (35), normed for age and sex, with a general population mean of 50 and standard deviation (sd) of 10. We abstracted mental and general health variables from patients’ medical records, and patients/proxies provided retrospective reports regarding pre-ALI physical functioning. In abstraction of pre-ALI mental health variables, “depression” included any depression diagnosis; “anxiety” included any anxiety diagnosis, including panic disorder and PTSD; “heavy alcohol use” included any indication of problem drinking, alcohol abuse, alcoholism, or alcoholic liver disease (including cirrhosis); and “illicit drug use” included non-injection and injection illicit drug use.
We were also interested in longitudinal relationships between mental health and general health status during the 2 years of follow-up. Thus, we examined new, existing, and remitted general anxiety, depression, and PTSD symptoms at the last visit as potential predictors of remission at each subsequent visit. For example, “new depressive symptoms at the last visit” means that patients were below threshold in the second-to-last visit but had a reliable increase in symptom score to above the instrument’s threshold by the last visit. “Existing depressive symptoms” indicates that patients had depressive symptoms during the last 2 visits (without a reliable decrease by the last visit). “Remitted depressive symptoms” means that patients had depressive symptoms in the second-to-last visit, but had a reliable decrease in score to below threshold by the last visit. These analyses were motivated, in part, by a prior report that anxiety and depressive disorders with onsets after PTSD predicted longer-duration PTSD episodes (26). In addition, we examined new, existing, and remitted impaired physical function (≥2 IADL dependencies) and number of IADL dependencies at the last visit as potential predictors of remission at each subsequent visit. Finally, we examined last-visit SF-36 physical function domain scores as predictors of subsequent-visit remission.
Statistical methods
We examined within-person longitudinal symptom stability using Spearman’s rho correlations. We also examined relationships among HADS anxiety scores, HADS depression scores, and IESR scores using Spearman’s rho correlations. When survivors had missing HADS anxiety, HADS depression, or IESR values during follow-up, we assumed that their prior status remained unchanged (i.e., we carried their last observation forward), as in prior work (12, 13). Since this method is conservative when estimating remission, we supplemented this analysis with additional analyses: 1) only including data from 2-year survivors, and 2) only including data from survivors with no missing data during 2-year follow-up. We employed discrete time survival analysis models (36) to examine potential predictors of remission. To avoid over-fitting of regression models (37), logical groupings of potential predictor variables were evaluated separately in nine small multivariable models. When more than one variable was associated with remission among these initial models, we then examined the variables associated with remission simultaneously in subsequent multivariable models. We defined statistical significance with a 2-sided p-value ≤0.05 and conducted all analyses using R statistical software (38).
Results
Patient flow
A total of 520 patients with ALI were enrolled in the study; 274 (53%) of the enrolled patients died before 3-month follow-up (Figure 1). A total of 186/196 consenting survivors (95%) completed at least one HADS and IESR assessment during 2-year follow-up, and most survivors completed multiple assessments (specifically, 52% had all 4 assessments, 24% had 3, 15% had 2, and 9% had only 1, with death as an important cause of missed follow-up visits – Figure 1). Table 1 shows pre-ALI demographic, health, and physical function characteristics in these survivors.
Figure 1. Flow diagram of study participants.

a Some patients had a follow-up visit but did not have complete Hospital Anxiety and Depression Scale (HADS) or Impact of Event Scale-Revised (IESR) data for the following reasons, respectively, physically incapable/cognitively incapable/other:
At 3 months, 22 did not have complete HADS data (9/5/8), and 23 did not have complete IESR data (7/5/11).
At 6 months, 12 did not have complete HADS data (4/2/6), and 13 did not have complete IESR data (5/2/6).
At 12 months, 14 did not have complete HADS data (5/4/5), and 15 did not have complete IESR data (5/4/6).
At 24 months, 10 did not have complete HADS data (0/6/4), and 11 did not have complete IESR data (1/5/5).
Table 1.
Pre-acute lung injury descriptive statistics in 186 survivors
| Age, mean (sd) | 49 (14) |
| Male sex | 56% |
| Caucasian race | 60% |
| Unemployed | 40% |
| High school or greater education | 71% |
| Median household income (by zip code), mean (sd) | $53,000 ($20,000) |
| Charlson Comorbidity Index, mean (sd) | 2.1 (2.5) |
| Functional Comorbidity Index, mean (sd) | 1.6 (1.5) |
| Specific comorbidities, per medical records: Depression | 21% |
| Anxiety | 6% |
| Heavy alcohol use | 25% |
| Illicit drug use | 32% |
| SF-36 Physical Function normalized score, mean (sd)* | 44 (14) |
| Number of IADL dependencies, mean (sd) | 1.7 (2.3) |
| Impaired physical function (≥2 IADL dependencies) | 38% |
IADL = instrumental activities of daily living; sd = standard deviation
T-score (general population mean=50, sd=10, normalized based on patient age and sex)
Critical illness/intensive care characteristics of these 186 survivors have been reported previously (12). Briefly, most (86%) had been treated in medical ICUs; 30% had a maximum daily Sequential Organ Failure Assessment (39) score >10; 21% had a mean daily midazolam equivalent dose >75 mg; 29% had a mean daily prednisone equivalent dose ≥50 mg; their mean ICU length of stay was 19 days (sd 17 days); and almost all had been delirious or deeply sedated/comatose at some point during their ICU stay. Notably, more than 97% of these survivors met criteria for acute respiratory distress syndrome (PaO2/FiO2 ≤200 mmHg) at some point during their critical illness, and 33% had PaO2/FiO2 ≤100 mmHg at some point during their critical illness.
Symptom trajectories
Mean scores did not vary substantially over 2-year follow-up: the average HADS anxiety score remained around 6, the average HADS depression score remained around 5, and the average IESR score remained around 0.9 after the 3-month follow-up visit. All symptoms were highly stable longitudinally; for anxiety, within-person correlations ranged from 0.56 to 0.74 across follow-up time-points; for depression, 0.48 to 0.67; for PTSD, 0.66 to 0.70. Figure 2 shows the prevalence of supra-threshold symptoms of general anxiety, depression, and PTSD during two-year follow-up. Across all follow-up time points, general anxiety symptoms were most common (point prevalences ranged from 38 to 44%), followed by depression symptoms (26 to 33%) and PTSD symptoms (22 to 24%).
Figure 2. Prevalence of general anxiety symptoms (HADS anxiety scores ≥8), depression symptoms (HADS depression scores ≥8), and PTSD symptoms (IESR scores ≥1.6) in the first 2 years after ALI.

HADS, Hospital Anxiety and Depression Scale; IESR, Impact of Event Scale-Revised; PTSD, posttraumatic stress disorder
Figures 3, 4, and 5 illustrate individual and mean symptom trajectories for patients who never had supra-threshold symptoms (of general anxiety, depression, and PTSD, respectively), those who had supra-threshold symptoms throughout the follow-up period, those who had a remission without recurrence, and those who had a remission and recurrence. For those with supra-threshold symptoms at any time point, the most common pattern was to have symptoms remain above threshold throughout 2-year follow-up. The next most common patterns of symptom trajectory were remission without recurrence, then remission with recurrence. Notably, 105 of the 186 patients (56%) had general anxiety symptoms at any point during two-year follow-up; in 91/105 (87%), the symptoms were evident during the first year of follow-up. Eighty-five of the 186 patients (46%) had depressive symptoms at any point during follow-up; in 74/85 (87%), the symptoms were evident during the first year. Sixty-six of the 186 patients (35%) had PTSD symptoms at any point during follow-up; in 60/66 (91%), the symptoms were evident during the first year. At virtually all follow-up time points after 3-month follow-up, survivors were more likely to have remissions than onsets of general anxiety, depression, and PTSD symptoms; specifically, across follow-ups, patients were 1.2, 1.9, and 3.5 times as likely to have remissions than onsets of general anxiety, depression, and PTSD symptoms, respectively.
Figure 3.

Trajectories of Hospital Anxiety and Depression Scale (HADS) anxiety scores among ALI survivors whose general anxiety symptoms remained below threshold throughout 24-month follow-up (“No Symptoms”), those whose symptoms remained above threshold throughout (“Maintainers”), those whose symptoms remitted and did not recur (“Remitters”), and those with remissions and recurrences (“Recurrence”). Thin gray lines indicate individual trajectories, and thick black lines indicate mean trajectories. The horizontal dashed lines indicate the threshold for general anxiety symptoms (HADS anxiety score ≥8)
Figure 4.

Trajectories of Hospital Anxiety and Depression (HADS) depression scores among ALI survivors whose depression symptoms remained below threshold throughout 24-month follow-up (“No Symptoms”), those whose symptoms remained above threshold throughout (“Maintainers”), those whose symptoms remitted and did not recur (“Remitters”), and those with remissions and recurrences (“Recurrence”). Thin gray lines indicate individual trajectories, and thick black lines indicate mean trajectories. The horizontal dashed lines indicate the threshold for depression symptoms (HADS depression score ≥8).
Figure 5.

Trajectories of Impact of Event Scale-Revised (IESR) scores among ALI survivors whose posttraumatic stress disorder (PTSD) symptoms remained below threshold throughout 24-month follow-up (“No Symptoms”), those whose symptoms remained above threshold throughout (“Maintainers”), those whose symptoms remitted and did not recur (“Remitters”), and those with remissions and recurrences (“Recurrence”). Thin gray lines indicate individual trajectories, and thick black lines indicate mean trajectories. The horizontal dashed lines indicate the threshold for PTSD symptoms (IESR score ≥1.6).
Survivors reported marked reductions in physical function after ALI, with gradual improvements during 2-year follow-up. Pre-ALI, survivors’ mean SF-36 Physical Function score was 44 (sd 14); at 3-, 6-, 12-, and 24-month follow-up visits, mean scores were 34 (13), 36 (13), 37 (13), and 39 (13), respectively. Similarly, pre-ALI, survivors’ mean number of IADL dependencies was 1.7 (sd 2.3); at 3-, 6-, 12-, and 24-month follow-up visits, mean numbers were 3.4 (2.9), 2.7 (2.8), 2.2 (2.7), and 2.2 (2.5), respectively. Finally, pre-ALI, 38% of survivors had ≥2 IADL dependencies; at 3-, 6-, 12-, and 24-month follow-up visits, 64%, 56%, 48%, and 47% had ≥2 IADL dependencies, respectively.
Co-occurrence of symptoms
HADS anxiety and depression symptoms were the most highly correlated symptoms (correlations ranged from 0.57 to 0.68 across follow-up time-points), followed by HADS anxiety and PTSD symptoms (0.52 to 0.66), then HADS depression and PTSD symptoms (0.35 to 0.47); all correlations were statistically significant (p ≤ 0.001).
The majority (59%) of survivors with any supra-threshold symptoms were above threshold for 2 or more types of symptoms (i.e., general anxiety, depression, and/or PTSD symptoms). In fact, the most common pattern involved simultaneous general anxiety, depression, and PTSD symptoms (25%). The next most common patterns, in order, were: general anxiety symptoms alone (21%), general anxiety and depression symptoms simultaneously (20%), general anxiety and PTSD symptoms simultaneously (12%), depression symptoms alone (12%), PTSD symptoms alone (8%), and depression and PTSD symptoms simultaneously (2%).
At the 24-month follow-up visit, 138 survivors reported retrospectively on mental health treatment since ALI (Table 2). Of those who had no supra-threshold general anxiety, depression, or PTSD symptoms during follow-up, only 12% reported taking psychiatric medications (such as for depression or anxiety), and only 8% reported receiving specialist mental health care. In contrast, of those who had supra-threshold symptoms in all three domains, 58% reported taking psychiatric medications, and 47% reported receiving specialist mental health care. In almost all cases, there was a monotonic positive relationship between the number of domains of supra-threshold mental health symptoms and receiving treatment (Table 2).
Table 2.
Self-reported mental health treatment during the first 2 years after acute lung injury, by number of mental health domains with supra-thresholdsymptoms
| Number of mental health domains* with supra-threshold symptoms |
||||
|---|---|---|---|---|
| 0 (n=40) |
1 (n=34) |
2 (n=27) |
3 (n=36) |
|
| Tookany psychiatric medications | 12% | 21% | 52% | 58% |
| Received anymental health care: | 8% | 32% | 41% | 47% |
| Saw a psychiatrist | 5% | 24% | 37% | 42% |
| Saw a psychologist | 2% | 12% | 15% | 19% |
| Saw a counselor | 2% | 6% | 15% | 11% |
Symptoms of 3 mental health domains (general anxiety, depression, and post-traumatic stress disorder) were assessed using validated instruments.
Predictors of remission
At least one remission occurred for a minority of patients for each of the three mental health outcomes. Specifically, remissions occurred for 34 of 105 patients with general anxiety symptoms (32%), 26 of 85 with depression symptoms (30%), and 30 of 66 with PTSD symptoms (45%). In the subset of 2-year survivors, remissions occurred for 36%, 30%, and 52%, respectively; and in the subset of patients with no missing data during 2-year follow-up, remissions occurred for 36%, 36%, and 61%, respectively. Baseline demographic and health factors were not significantly related to remission of general anxiety, depression, or PTSD symptoms (Table 3). Better SF-36 physical functioning at the last follow-up visit was independently associated with remission of both general anxiety and PTSD symptoms. Though recent IADL dependencies (evident at the last visit) were negatively associated with remission of general anxiety symptoms, this relationship was no longer statistically significant when recent-onset depressive symptoms were included in a multivariable model (Table 3, Model 10). Similarly, though recent-onset depressive symptoms (evident at the last visit) were negatively associated with remission of general anxiety symptoms, this relationship was no longer statistically significant when recent SF-36 physical functioning was included in a multivariable model (Table 3, Model 11).
Table 3.
Multivariable predictors of remission of anxiety, depression, and PTSD symptoms during the first 2 years after acute lung injury
| Anxiety | Depression | PTSD | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR* | 95% CI | p | OR* | 95% CI | p | OR* | 95% CI | p | |
| Model 1 | |||||||||
| Age | 0.97 | 0.93, 1.01 | 0.17 | 1.02 | 0.97, 1.07 | 0.39 | 0.99 | 0.95, 1.04 | 0.82 |
| Male sex | 1.13 | 0.44, 2.87 | 0.80 | 1.42 | 0.43, 4.67 | 0.56 | 0.55 | 0.21, 1.44 | 0.21 |
| Unemployment | 1.28 | 0.43, 3.76 | 0.65 | 0.75 | 0.23, 2.49 | 0.64 | 1.14 | 0.37, 3.50 | 0.82 |
| High school or more education | 0.66 | 0.25, 1.77 | 0.40 | 0.73 | 0.21, 2.53 | 0.62 | 0.79 | 0.28, 2.17 | 0.17 |
| Median zip code household income | 0.91 | 0.71, 1.16 | 0.43 | 0.91 | 0.65, 1.28 | 0.57 | 0.83 | 0.62, 1.09 | 0.17 |
| Model 2 | |||||||||
| Baseline depression | 0.50 | 0.19, 1.29 | 0.14 | 0.95 | 0.32, 2.80 | 0.92 | 0.62 | 0.20, 1.89 | 0.39 |
| Baseline anxiety | 3.01 | 0.86, 10.5 | 0.08 | 1.16 | 0.24, 5.63 | 0.85 | 1.41 | 0.27, 7.32 | 0.67 |
| Baseline heavy alcohol use | 1.31 | 0.58, 2.93 | 0.51 | 1.92 | 0.75, 4.91 | 0.16 | 1.36 | 0.53, 3.48 | 0.51 |
| Baseline illicit drug use | 1.15 | 0.52, 2.54 | 0.72 | 0.81 | 0.33, 2.02 | 0.65 | 1.02 | 0.43, 2.43 | 0.97 |
| Model 3 | |||||||||
| Baseline Charlson Comorbidity Index | 0.97 | 0.82, 1.13 | 0.67 | 0.94 | 0.77, 1.15 | 0.54 | 0.83 | 0.68, 1.03 | 0.08 |
| Baseline Functional Comorbidity Index | 0.83 | 0.63, 1.09 | 0.17 | 0.95 | 0.71, 1.27 | 0.73 | 1.01 | 0.75, 1.37 | 0.94 |
| Baseline impaired PF** | 0.44 | 0.18, 1.06 | 0.06 | 0.65 | 0.26, 1.66 | 0.36 | 1.13 | 0.46, 2.79 | 0.78 |
| Model 4 | |||||||||
| Baseline normed SF-36 PF | 1.01 | 0.97, 1.04 | 0.75 | 1.00 | 0.96, 1.04 | 0.89 | 0.98 | 0.93, 1.02 | 0.31 |
| Last visit normed SF-36 PF | 1.05 | 1.01, 1.10 | 0.02 | 1.03 | 0.98, 1.08 | 0.30 | 1.07 | 1.01, 1.13 | 0.02 |
| Model 5 | |||||||||
| Last visit new anxiety symptoms | - | - | - | 0.63 | 0.21, 1.96 | 0.42 | 0.63 | 0.19, 2.07 | 0.44 |
| Last visit existing anxiety symptoms | - | - | - | 0.59 | 0.17, 2.03 | 0.39 | 0.69 | 0.21, 2.24 | 0.53 |
| Last visit remitted anxiety symptoms | - | - | - | - | - | - | 0.29 | 0.03, 2.91 | 0.28 |
| Model 6 | |||||||||
| Last visit new depressive symptoms | 0.25 | 0.07, 0.82 | 0.02 | - | - | - | 0.81 | 0.28, 2.35 | 0.69 |
| Last visit existing depressive symptoms | 0.55 | 0.17, 1.71 | 0.29 | - | - | - | 0.77 | 0.26, 2.32 | 0.64 |
| Last visit remitted depressive symptoms | 2.00 | 0.52, 7.6 | 0.30 | - | - | - | 0.57 | 0.06, 5.61 | 0.63 |
| Model 7 | |||||||||
| Last visit new PTSD symptoms | 0.82 | 0.31, 2.16 | 0.69 | 0.55 | 0.17, 1.81 | 0.32 | - | - | - |
| Last visit existing PTSD symptoms | 0.50 | 0.15, 1.67 | 0.25 | 1.32 | 0.38, 4.58 | 0.65 | - | - | - |
| Last visit remitted PTSD symptoms | 0.44 | 0.05, 3.85 | 0.45 | - | - | - | - | - | - |
| Model 8 | |||||||||
| Baseline impaired PF** | 0.51 | 0.21, 1.24 | 0.13 | 0.55 | 0.22, 1.42 | 0.21 | 1.08 | 0.44, 2.60 | 0.86 |
| Last visit new impaired PF** | 0.53 | 0.16, 1.74 | 0.29 | 1.22 | 0.24, 6.34 | 0.81 | 0.90 | 0.24, 3.41 | 0.88 |
| Last visit existing impaired PF** | 0.53 | 0.17, 1.69 | 0.27 | 2.70 | 0.54, 13.5 | 0.22 | 1.12 | 0.34, 3.67 | 0.84 |
| Last visit remitted impaired PF** | 1.45 | 0.40, 5.19 | 0.56 | 0.94 | 0.07, 12.7 | 0.96 | 1.21 | 0.23, 6.27 | 0.82 |
| Model 9 | |||||||||
| Baseline impaired PF** | 0.57 | 0.23, 1.41 | 0.22 | 0.61 | 0.24, 1.56 | 0.29 | 1.16 | 0.48, 2.80 | 0.74 |
| Last visit # of IADL dependencies | 0.84 | 0.71, 0.99 | 0.04 | 1.06 | 0.90, 1.26 | 0.47 | 0.89 | 0.75, 1.05 | 0.15 |
| --- | |||||||||
| Model 10 | |||||||||
| Last visit # of IADL dependencies | 0.87 | 0.74, 1.02 | 0.08 | - | - | - | - | - | - |
| Last visit new depressive symptoms | 0.29 | 0.09, 0.98 | 0.04 | - | - | - | - | - | - |
| Last visit existing depressive symptoms | 0.54 | 0.15, 1.91 | 0.33 | - | - | - | - | - | - |
| Last visit remitted depressive symptoms | 2.36 | 0.58, 9.61 | 0.22 | - | - | - | - | - | - |
| Model 11 | |||||||||
| Last visit SF-36 PF | 1.05 | 1.01, 1.09 | 0.01 | - | - | - | - | - | - |
| Last visit new depressive symptoms | 0.31 | 0.09, 1.08 | 0.06 | - | - | - | - | - | - |
| Last visit existing depressive symptoms | 0.89 | 0.26, 3.04 | 0.86 | - | - | - | - | - | - |
| Last visit remitted depressive symptoms | 2.57 | 0.63, 10.6 | 0.18 | - | - | - | - | - | - |
CI, confidence interval; IADL, instrumental activities of daily living; OR, odds ratio; PF, physical function; PTSD, posttraumatic stress disorder;
calculated using multivariable discrete time survival models – bold indicates statistical significance;
≥2 IADL dependencies
Discussion
In this multi-site, 2-year prospective longitudinal cohort study of 186 ALI survivors, we found high levels of co-occurrence of general anxiety, depression, and PTSD symptoms, relatively low levels of remission, and that better physical function predicted subsequent remission from general anxiety and PTSD symptoms.
Supra-threshold general anxiety, depression, and PTSD symptoms co-occurred frequently; indeed, 59% of those with any supra-threshold symptoms had them in 2 or more symptom domains, and having supra-threshold symptoms in more domains was associated with more mental health treatment. Our co-occurrence findings are consistent with others’ recent findings in critical illness survivors (40–42). These findings are also consistent with our clinical experience with these patients (i.e., ALI survivors referred for one psychiatric illness often meet diagnostic criteria for at least one other) and underscore the need for clinicians to assess and treat their patients for a spectrum of distress-related psychiatric phenomena if any are evident.
Supra-threshold general anxiety, depression, and PTSD phenomena were long-lasting. Most ALI survivors with any supra-threshold symptoms during 2-year follow-up had them at the last follow-up visit; this was largely due to lack of remission, but it was also due in part to recurrence by the last follow-up visit. The most common supra-threshold symptoms were general anxiety symptoms (point prevalences 38 to 44%) – this is a new finding to add to our prior observations of the long-lasting/recurrent nature of depression and PTSD symptoms in this cohort (12, 13). Notably, remissions, especially from PTSD symptoms, were more common in patients who survived to 2-year follow-up, and particularly in the 52% of initial survivors who were able to participate in all follow-up visits.
Surprisingly, baseline demographic characteristics like older age, female sex, unemployment, and lower socioeconomic status did not adversely affect remission from general anxiety, depression, or PTSD symptoms, contrary to our expectations based on the general psychiatric literature (26–28). Further, baseline (pre-ALI) mental and general health characteristics did not predict remission, also contrary to our expectations (27, 28). Thus, prior experience regarding remission in other patient populations may not be generalizable to ALI survivors. The only robust predictor of remission was higher SF-36 physical function domain scores at survivors’ previous visit. With a five-point (i.e. half a standard deviation) higher normed SF-36 physical function score, survivors had a 28% greater odds of remission from generalized anxiety or PTSD symptoms. These results underscore the need to treat the whole patient, including a focus on both physical and mental health sequelae of critical illness (7); such attention may help ALI survivors recover more quickly. Improvements in physical functioning may promote a sense of independence/ability, as well as an increased capacity for exercise, which could positively affect emotional well-being (43, 44). Importantly, in-ICU physical and occupational therapy appears to reduce the duration of delirium and improve patients’ functional outcomes at hospital discharge (45); future studies of in-ICU rehabilitation should examine whether such early interventions improve survivors’ long-term mental health as well.
In the current study, we did not address whether or not ALI/intensive care may be causally related to general anxiety, depression, or PTSD symptoms during follow-up. Results of other studies that used identical measures of psychiatric symptoms before and after critical illness may be of interest in this regard. In a prospective longitudinal study of patients with diabetes (the Pathways Epidemiologic Follow-up Study), Davydow and colleagues found that having a critical illness/ICU stay was independently associated with depressive symptoms at follow-up (46), but having depressive symptoms at baseline also increased the risk of an ICU stay during follow-up (47). In a population-based cohort study of older adults (part of the Health and Retirement Study), the prevalence of supra-threshold depressive symptoms was similar at a median of 1.2 years before and 0.9 years after an episode of severe sepsis (48). Nevertheless, in a very large cohort study using linked data from Danish national population-based medical databases, Wunsch and colleagues found that having a psychiatric diagnosis in the prior 5 years was associated with an increased risk for critical illness (prevalence ratio 2.7), but having a critical illness increased the risk of a new psychiatric diagnosis or psychiatric medication very substantially (hazard ratios >20) (49). Thus, psychiatric symptoms may be both a risk factor for and a result of critical illness.
Several potential limitations should be considered with these results. First, we measured general anxiety, depression, and PTSD symptoms using validated questionnaires (19, 22), rather than clinical interviews incorporating multiple sources of mental health information. Because of the added respondent burden (which may have required up to 2 hours at each follow-up visit), we believe that clinical interviews would have exceeded the limits of feasibility and resulted in substantially higher losses to follow-up, especially during the first year when patients were still in early recovery and required 3 follow-up visits. Moreover, obtaining clinician diagnoses and symptom ratings also would have been logistically difficult, given the need for expert clinicians to be physically present in patients’ homes or long-term care facilities (58% of participants required at least one such visit during 2-year follow-up). Second, we used medical records to identify baseline health problems. Anxiety disorders, in particular, may be under-recognized in medical records; i.e., in general population studies, anxiety disorders are the most common mental illnesses (50, 51), but in our study anxiety disorders were recorded much less frequently than depressive disorders (6% versus 21%, respectively). Such potential bias is generally unavoidable given the infeasibility of directly assessing patients’ psychiatric history prior to ALI onset. Third, we did not take into account the possible salutary effect of treatment on symptoms, and we may have missed symptom onset or remission before 3-month follow-up or in between follow-up visits. Though we collected basic information on receipt of psychiatric treatment retrospectively at 2-year follow-up, we chose not to analyze this data as a predictor of course of psychiatric symptoms, since we were concerned about confounding by indication, as well as our lack of information regarding specific treatments, timing, duration, etc. Fourth, although we statistically controlled for potential confounders in our analysis of remission predictors, residual confounding could have influenced our findings. Nevertheless, it is not possible to randomize patients to better mental or physical function during the recovery period; thus, observational research, like this study, provides essential information regarding such associations. Fifth, we did not measure social support during patients’ critical illnesses or during 2-year follow-up; strong social support may mitigate the emotional effects of a severe stressor like ALI (52, 53). Sixth, we limited our focus to survivors of the archetypal critical illness ALI (54), and our results may not generalize well to all populations of critical illness survivors (1–3). Finally, future studies should examine a broader range of psychiatric symptoms. For example, many patients surviving a critical illness develop substantial illness anxiety (55); our clinical experience suggests that many patients develop compulsive cleaning rituals and avoidance of germs and irritants that contribute to overall dysfunction.
Conclusions
In this multi-site, 2-year prospective longitudinal cohort study of 186 ALI survivors, we found high levels of comorbidity of general anxiety, depression, and PTSD symptoms, relatively low levels of remission, and that better physical function predicted subsequent remission from general anxiety and PTSD symptoms. When caring for ALI survivors, clinicians should address the full spectrum of potential mental and physical health sequelae to maximize patient recovery.
Acknowledgments
We thank all of the patients who participated in the study and the dedicated research staff who assisted with the study, including Mr. Victor Dinglas, Dr. Nardos Belayneh, Ms. Rachel Bell, Ms. Kim Boucher, Dr. Sanjay Desai, Ms. Carinda Feild, Ms.Thelma Harrington, Dr. Praveen Kondreddi, Ms. Frances Magliacane, Ms. Stacey Murray, Dr. Kim Nguyen, Dr. Susanne Prassl, Dr. Abdulla Damluji, Ms. Arabela Sampaio, Ms. Kristin Sepulveda, Dr. Shabana Shahid, Dr. Faisal Siddiqi, and Ms. Michelle Silas.
This research was supported by the National Institutes of Health (Acute Lung Injury SCCOR Grant #P050 HL73994 and R01 HL88045) and the Johns Hopkins Institute for Clinical and Translational Research (grant UL1 TR 000424-06). Dr. Pronovost was supported by a Mid-career Investigator Award in Patient-Oriented Research (K24 HL88551). The funding bodies had no role in the study design, data collection, analysis, interpretation, writing, or decision to submit the manuscript for publication.
Copyright form disclosures: Dr. Bienvenu received support for article research from the National Institutes of Health (NIH). His institution received grant support. Dr. Colantuoni received support for article research from the NIH. Her institution received grant support from the NIH. Dr. Mendez-Tellez received support for article research from the NIH. Dr. Shanholtz received support for article research from the NIH. Dr. Shanholtz and his institution received grant support from the NIH. Dr. Dennison-Himmelfarb served as a board member for the Preventive Cardiovascular Nurses Association, is employed by Johns Hopkins University, and received support for article research from the NIH. Her institution received grant support from the NIH. Dr. Pronovost received support for article research from the NIH. His institution received grant support from the NIH. Dr. Needham received support for article research from the NIH. His institution received grant support from the NIH.
Footnotes
Drs. Bienvenu, Colantuoni, and Needham contributed to the conception and design of this study. Drs. Dennison-Himmelfarb, Mendez-Tellez, Shanholtz, and Needham contributed to the acquisition of data. Drs. Bienvenu, Colantuoni, and Needham contributed to the analysis and interpretation of data. Dr. Bienvenu drafted the manuscript, and all authors critically revised it for important intellectual content and approved the final version to be submitted.
References
- 1.Davydow DS, Desai SV, Needham DM, et al. Psychiatric morbidity in survivors of the acute respiratory distress syndrome: a systematic review. Psychosom Med. 2008;70(4):512–519. doi: 10.1097/PSY.0b013e31816aa0dd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Davydow DS, Gifford JM, Desai SV, et al. Depression in general intensive care unit survivors: a systematic review. Intensive Care Med. 2009;35(5):796–809. doi: 10.1007/s00134-009-1396-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Davydow DS, Gifford JM, Desai SV, et al. Posttraumatic stress disorder in general intensive care unit survivors: a systematic review. Gen Hosp Psychiatry. 2008;30(5):421–434. doi: 10.1016/j.genhosppsych.2008.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Wilcox ME, Brummel NE, Archer K, et al. Cognitive dysfunction in ICU patients: risk factors, predictors, and rehabilitation interventions. Crit Care Med. 2013;41(9) Suppl 1:S81–S98. doi: 10.1097/CCM.0b013e3182a16946. [DOI] [PubMed] [Google Scholar]
- 5.Stevens RD, Dowdy DW, Michaels RK, et al. Neuromuscular dysfunction acquired in critical illness: a systematic review. Intensive Care Med. 2007;33(11):1876–1891. doi: 10.1007/s00134-007-0772-2. [DOI] [PubMed] [Google Scholar]
- 6.Desai SD, Law TJ, Needham DM. Long-term complications of critical care. Crit Care Med. 2011;39(2):371–379. doi: 10.1097/CCM.0b013e3181fd66e5. [DOI] [PubMed] [Google Scholar]
- 7.Needham DM, Davidson J, Cohen H, et al. Improving long-term outcomes after discharge from intensive care unit: Report from a stakeholders' conference. Crit Care Med. 2012;40(2):502–509. doi: 10.1097/CCM.0b013e318232da75. [DOI] [PubMed] [Google Scholar]
- 8.Needham DM, Dennison CR, Dowdy DW, et al. Study protocol: The Improving Care of Acute Lung Injury Patients (ICAP) study. Crit Care. 2006;10(1):R9. doi: 10.1186/cc3948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Stevenson JE, Colantuoni E, Bienvenu OJ, et al. General anxiety symptoms after acute lung injury: predictors and correlates. J Psychosom Res. 2013;75(3):287–293. doi: 10.1016/j.jpsychores.2013.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Dowdy DW, Dinglas V, Mendez-Tellez PA, et al. Intensive care unit hypoglycemia predicts depression during early recovery from acute lung injury. Crit Care Med. 2008;36(10):2726–2733. doi: 10.1097/CCM.0b013e31818781f5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Dowdy DW, Bienvenu OJ, Dinglas VD, et al. Are intensive care factors associated with depressive symptoms 6 months after acute lung injury? Crit Care Med. 2009;37(5):1702–1707. doi: 10.1097/CCM.0b013e31819fea55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bienvenu OJ, Colantuoni E, Mendez-Tellez PA, et al. Depressive symptoms and impaired physical function after acute lung injury: a 2-year longitudinal study. Am J Resp Crit Care Med. 2012;185(5):517–524. doi: 10.1164/rccm.201103-0503OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bienvenu OJ, Gellar J, Althouse BM, et al. Post-traumatic stress disorder symptoms after acute lung injury: a 2-year prospective longitudinal study. Psychol Med. 2013;43(12):2657–2671. doi: 10.1017/S0033291713000214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bernard GR, Artigas A, Brigham KL, et al. The American-European Consensus Conference on ARDS. Definitions, mechanisms, relevant outcomes, and clinical trial coordination. Am J Respir Crit Care Med. 1994;149(3 Pt 1):818–824. doi: 10.1164/ajrccm.149.3.7509706. [DOI] [PubMed] [Google Scholar]
- 15.Fan E, Shahid S, Kondreddi VP, et al. Informed consent in the critically ill: a two-step approach incorporating delirium screening. Crit Care Med. 2008;36(1):94–99. doi: 10.1097/01.CCM.0000295308.29870.4F. [DOI] [PubMed] [Google Scholar]
- 16.Zigmond AS, Snaith RP. The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand. 1983;67(6):361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x. [DOI] [PubMed] [Google Scholar]
- 17.Bjelland I, Dahl AA, Haug TT, et al. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002;52(2):69–77. doi: 10.1016/s0022-3999(01)00296-3. [DOI] [PubMed] [Google Scholar]
- 18.Weiss DS, Marmar CR. The Impact of Events Scale - Revised. In: Wilson JPKT, editor. Assessing Psychological Trauma and PTSD: a Handbook for Practitioners. New York: Guilford Press; 1997. pp. 399–411. [Google Scholar]
- 19.Bienvenu OJ, Williams JB, Yang A, et al. Posttraumatic stress disorder in survivors of acute lung injury: evaluating the Impact of Event Scale-Revised. Chest. 2013;144(1):24–31. doi: 10.1378/chest.12-0908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Jacobson NS, Truax P. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol. 1991;59(1):12–19. doi: 10.1037//0022-006x.59.1.12. [DOI] [PubMed] [Google Scholar]
- 21.Crawford JR, Henry JD, Crombie C, et al. Normative data for the HADS from a large non-clinical sample. Br J Clin Psychol. 2001;40(Pt 4):429–434. doi: 10.1348/014466501163904. [DOI] [PubMed] [Google Scholar]
- 22.Herrmann C. International experiences with the Hospital Anxiety and Depression Scale--a review of validation data and clinical results. J Psychosom Res. 1997;42(1):17–41. doi: 10.1016/s0022-3999(96)00216-4. [DOI] [PubMed] [Google Scholar]
- 23.Puhan MA, Frey M, Büchi S, et al. The minimal important difference of the Hospital Anxiety and Depression Scale in patients with chronic obstructive pulmonary disease. Health Qual Life Outcomes. 6:46. doi: 10.1186/1477-7525-6-46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Arnberg FK, Hultman CM, Michel PO, et al. Social support moderates posttraumatic stress and general distress after disaster. J Trauma Stress. 2012;25(6):721–727. doi: 10.1002/jts.21758. [DOI] [PubMed] [Google Scholar]
- 25.Asukai N, Kato H, Kawamura N, et al. Reliability and validity of the Japanese-language version of the impact of event scale-revised (IES-R-J): four studies of different traumatic events. J Nerv Ment Dis. 2002;190(3):175–182. doi: 10.1097/00005053-200203000-00006. [DOI] [PubMed] [Google Scholar]
- 26.Chapman C, Mills K, Slade T, et al. Remission from post-traumatic stress disorder in the general population. Psychol Med. 2012;42(8):1695–1703. doi: 10.1017/S0033291711002856. [DOI] [PubMed] [Google Scholar]
- 27.Colman I, Ataullahjan A. Life course perspectives on the epidemiology of depression. Can J Psychiatry. 2010;55(10):622–632. doi: 10.1177/070674371005501002. [DOI] [PubMed] [Google Scholar]
- 28.Richards D. Prevalence and clinical course of depression: a review. Clin Psychol Rev. 2011;31(7):1117–1125. doi: 10.1016/j.cpr.2011.07.004. [DOI] [PubMed] [Google Scholar]
- 29. [cited Available from: http://www.claritas.com/MyBestSegments/Default.jsp?ID=20] [Google Scholar]
- 30.Franks P, Fiscella K. Effect of patient socioeconomic status on physician profiles for prevention, disease management, and diagnostic testing costs. Med Care. 2002;40(8):717–724. doi: 10.1097/00005650-200208000-00011. [DOI] [PubMed] [Google Scholar]
- 31.Muni S, Engelberg RA, Treece PD, et al. The influence of race/ethnicity and socioeconomic status on end-of-life care in the ICU. Chest. 2011;139(5):1025–1033. doi: 10.1378/chest.10-3011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–383. doi: 10.1016/0021-9681(87)90171-8. [DOI] [PubMed] [Google Scholar]
- 33.Groll DL, To T, Bombardier C, et al. The development of a comorbidity index with physical function as the outcome. J Clin Epidemiol. 2005;58(6):595–602. doi: 10.1016/j.jclinepi.2004.10.018. [DOI] [PubMed] [Google Scholar]
- 34.Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9(3):179–186. [PubMed] [Google Scholar]
- 35.Ware JE, Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–483. [PubMed] [Google Scholar]
- 36.Singer JD, Willett JB. It's about time: using discrete-time survival analysis to study duration and the timing of events. J Educ Stat. 1993;18(2):155–195. [Google Scholar]
- 37.Harrell FE, Lee KL, Matchar DB, et al. Regression models for prognostic prediction: advantages, problems, and suggested solutions. Cancer Treat Rep. 1985;69(10):1071–1077. [PubMed] [Google Scholar]
- 38.R Development Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2010. [Google Scholar]
- 39.Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22(7):707–710. doi: 10.1007/BF01709751. [DOI] [PubMed] [Google Scholar]
- 40.Mikkelsen ME, Christie JD, Lanken PN, et al. The adult respiratory distress syndrome cognitive outcomes study: long-term neuropsychological function in survivors of acute lung injury. Am J Respir Crit Care Med. 2012;185(12):1307–1315. doi: 10.1164/rccm.201111-2025OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Paparrigopoulos T, Melissaki A, Tzavellas E, et al. Increased comorbidity of depression and post-traumatic stress disorder symptoms and common risk factors in intensive care unit survivors: a two-year follow-up study. Int J Psychiatry Clin Pract. 2014;18(1):25–31. doi: 10.3109/13651501.2013.855793. [DOI] [PubMed] [Google Scholar]
- 42.Jackson JC, Pandharipande PP, Girard TD, et al. Depression, post-traumatic stress disorder, and functional disability in survivors of critical illness in the BRAIN-ICU study: a longitudinal cohort study. Lancet Respir Med. 2014;2(5):369–379. doi: 10.1016/S2213-2600(14)70051-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Otto MW, Smits JAJ. Exercise for Mood and Anxiety: Proven Strategies for Overcoming Depression and Enhancing Well-Being. New York, NY: Oxford University Press; 2011. [Google Scholar]
- 44.Matta Mello Portugal E, Cevada T, Sobral Monteiro-Junior R, et al. Neuroscience of exercise: from neurobiology mechanisms to mental health. Neuropsychobiology. 2013;68(1):1–14. doi: 10.1159/000350946. [DOI] [PubMed] [Google Scholar]
- 45.Schweickert WD, Pohlman MC, Pohlman AS, et al. Early physical and occupational therapy in mechanically ventilated, critically ill patients: a randomised controlled trial. Lancet. 2009;373(9678):1874–1882. doi: 10.1016/S0140-6736(09)60658-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Davydow DS, Hough CL, Russo JE, et al. The association between intensive care unit admission and subsequent depression in patients with diabetes. Int J Geriatr Psychiatry. 2012;27(1):22–30. doi: 10.1002/gps.2684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Davydow DS, Russo JE, Ludman E, et al. The association of comorbid depression with intensive care unit admission in patients with diabetes: a prospective cohort study. Psychosomatics. 2011;52(2):117–126. doi: 10.1016/j.psym.2010.12.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Davydow DS, Hough CL, Langa KM, et al. Symptoms of depression in survivors of severe sepsis: a prospective cohort study of older Americans. Am J Geriatr Psychiatry. 2013;21(9):887–897. doi: 10.1016/j.jagp.2013.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Wunsch H, Christiansen CF, Johansen MB, et al. Psychiatric diagnoses and psychoactive medication use among nonsurgical critically ill patients receiving mechanical ventilation. JAMA. 2014;311(11):1133–1142. doi: 10.1001/jama.2014.2137. [DOI] [PubMed] [Google Scholar]
- 50.Kessler RC, Chiu WT, Demler O, et al. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):617–627. doi: 10.1001/archpsyc.62.6.617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Kessler RC, Berglund P, Demler O, et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):593–602. doi: 10.1001/archpsyc.62.6.593. [DOI] [PubMed] [Google Scholar]
- 52.Deja M, Denke C, Weber-Carstens S, et al. Social support during intensive care unit stay might improve mental impairment and consequently health-related quality of life in survivors of severe acute respiratory distress syndrome. Crit Care. 2006;10(5):R147. doi: 10.1186/cc5070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Bonanno GA, Galea S, Bucciarelli A, et al. What predicts psychological resilience after disaster? The role of demographics, resources, and life stress. J Consult Clin Psychol. 2007;75(5):671–682. doi: 10.1037/0022-006X.75.5.671. [DOI] [PubMed] [Google Scholar]
- 54.Herridge MS, Angus DC. Acute lung injury: affecting many lives. New Engl J Med. 2005;353(16):1736–1738. doi: 10.1056/NEJMe058205. [DOI] [PubMed] [Google Scholar]
- 55.Kapfhammer HP, Rothenhäusler HB, Krauseneck T, et al. Posttraumatic stress disorder and health-related quality of life in long-term survivors of acute respiratory distress syndrome. Am J Psychiatry. 2004;161(1):45–52. doi: 10.1176/appi.ajp.161.1.45. [DOI] [PubMed] [Google Scholar]
