Skip to main content
Critical Care logoLink to Critical Care
. 2024 Mar 14;28:77. doi: 10.1186/s13054-024-04826-1

Impact of COVID-19 on posttraumatic stress disorder in ICU survivors: a prospective observational comparative cohort study

Pierre Kalfon 1,2,36,, Wissam El-Hage 3,4, Marie-Agnès Geantot 5, Constance Favier 2, Laetitia Bodet-Contentin 6,7, Khaldoun Kuteifan 8, Pierre-Yves Olivier 9, Didier Thévenin 10, Julien Pottecher 11, Jullien Crozon-Clauzel 12, Bénédicte Mauchien 1, Arnaud Galbois 13, Roland de Varax 14, Sabine Valera 15, Philippe Estagnasie 16, Audrey Berric 17, Martine Nyunga 18, Nathalie Revel 19, Georges Simon 20, Benjamin Kowalski 21, Achille Sossou 22, Thomas Signouret 23, Marc Leone 24, Charles Delalé 25, Aurélien Seemann 26, Sigismond Lasocki 27, Jean-Pierre Quenot 28, Antoine Monsel 29, Olivier Michel 30, Mathieu Page 31, René-Gilles Patrigeon 32, Walid Nicola 33, Arnaud W Thille 34, Guillaume Hekimian 35, Pascal Auquier 2, Karine Baumstarck 2; PTSD-REA Study group
PMCID: PMC10938700  PMID: 38486304

Abstract

Background

Posttraumatic stress disorder (PTSD) after a stay in the intensive care unit (ICU) can affect one in five ICU survivors. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, admission to the ICU for COVID-19 was stressful due to the severity of this disease. This study assessed whether admission to the ICU for COVID-19 was associated with a higher prevalence of PTSD compared with other causes of ICU admission after adjustment for pre-ICU psychological factors.

Methods

This prospective observational comparative cohort study included 31 ICUs. Eligible patients were adult ICU survivors hospitalized during the first wave of COVID-19 pandemic in France, regardless of the reason for admission. The prevalence of presumptive diagnosis of PTSD at 6 months was assessed using the PTSD Checklist for DSM-5 (PCL-5). Sociodemographics, clinical data, history of childhood trauma (Childhood Trauma Questionnaire [CTQ]), and exposure to potentially traumatic events (Life Events Checklist for DSM-5 [LEC-5]) were assessed.

Results

Of the 778 ICU survivors included during the first wave of COVID-19 pandemic in France, 417 and 361 were assigned to the COVID-19 and non-COVID-19 cohorts, respectively. Fourteen (4.9%) and 11 (4.9%), respectively, presented with presumptive diagnosis of PTSD at 6 months (p = 0.976). After adjusting for age, sex, severity score at admission, use of invasive mechanical ventilation, ICU duration, CTQ and LEC-5, COVID-19 status was not associated with presumptive diagnosis of PTSD using the PCL-5. Only female sex was associated with presumptive diagnosis of PTSD. However, COVID-19 patients reported significantly more intrusion and avoidance symptoms than non-COVID patients (39% vs. 29%, p = 0.015 and 27% vs. 19%, p = 0.030), respectively. The median PCL-5 score was higher in the COVID-19 than non-COVID-19 cohort (9 [3, 20] vs. 4 [2, 16], p = 0.034).

Conclusion

Admission to the ICU for COVID-19 was not associated with a higher prevalence of PTSD compared with admission for another cause during the first wave of the COVID-19 pandemic in France. However, intrusion and avoidance symptoms were more frequent in COVID-19 patients than in non-COVID-19 patients.

Trial Registration: Clinicaltrials.gov Identifier NCT03991611, registered on June 19, 2019.

Keywords: Critical care, Posttraumatic stress disorder, COVID-19, Intensive care unit

Background

Critically ill patients in intensive care units (ICUs) are exposed to stressful conditions and experience discomfort from multiple sources [16], such as the environment or related to care provided in the ICU, depending on the care organization and patient’s health status. This discomfort may have short- and long-term consequences for survivors of critical illness [7], such as various degrees of anxiety and/or depression [810] or posttraumatic stress disorder (PTSD) [1113], which may affect patients’ quality of life [1417], slow down the recovery process [18], and lead to increasing healthcare utilization and considerable associated costs [19]. PTSD has been the most investigated post-ICU psychiatric morbidity. A recent review of 48 studies found that PTSD symptoms may affect one in five ICU patients [20]. Other authors have focused on preexisting risk factors [21, 22] and early detection methods after a patient is discharged from the ICU [23].

The causes of PTSD may be linked to non-modifiable pre-ICU factors such as the patient’s history of depression or their experience of traumatic life events, which may have occurred as early as childhood and that are often unknown to caregivers working in the ICU, or are linked to potentially modifiable ICU factors in connection with the delivery of care, or treatments, or stressful environmental conditions [21, 22]. PTSD may also be linked to the critical illness leading to ICU stay. Many authors consider that the rates of PTSD after coronavirus disease 2019 (COVID-19) infection, particularly in patients hospitalized in the ICU for COVID-19, are higher than in critically ill patients hospitalized in the ICU before the pandemic [2430]. In the context of the global pandemic, especially during the first wave (i.e. Spring 2020 in France), the evolution and contagiousness of the disease was not fully understood. Therefore, care organizations were greatly modified with much less attention paid to limiting stressful factors (restricted or forbidden family visitation, dramatic increase in the ICU beds leading to new inadequately trained staff, accumulation of working hours, recently created ICUs), making ICU stay a traumatic experience that sometimes resulted in the development of PTSD by patients and family members [31], compounded by the disease being highly publicized and associated with a high mortality [32, 33].

The aim of this study was to compare the prevalence of PTSD at 6 months in two populations of ICU survivors hospitalized during the first wave of the COVID-19 pandemic: one group of patients admitted to the ICU for COVID-19 and another group was admitted to the ICU for another reason, taking into account psychological pre-ICU factors.

Methods

The PTSD-REA COVID study was part of the PTSD-REA study (a stepped wedge cluster randomized trial: Reducing PTSD after ICU discharge with the IPREA3 program), which was conducted during the first wave of the COVID-19 pandemic in France, a period during which the tested intervention of the PTSD-REA study (i.e., implementation of the IPREA3 program), was suspended due to major changes in the organization of critical care in France. The PTSD-REA COVID study was a prospective observational comparative cohort study of patients admitted to the ICU for COVID-19 or another reason during the same period. It was approved by the Institutional Review Board of Ile-de-France IV, Hôpital Saint-Louis (Paris, France), and is reported using the recommendations of the STROBE statement [34].

ICUs and patients

Thirty-one ICUs participated in the PTSD-REA COVID study. Of the 18 ICUs that initially participated in the PTSD-REA study, 15 of them agreed to participate in the PTSD-REA COVID study and 16 new ICUs were recruited. The ICUs included 3 medical, 8 surgical, and 20 mixed medical–surgical adult ICUs, located at academic tertiary care hospitals or community hospitals. All patients aged ≥ 18 years, who were admitted to the ICU between March 1 and April 30, 2020, and survived an ICU stay of at least 3 calendar days, were eligible for inclusion in the study at the end of the ICU stay.

The exclusion criteria included patients who were unable or refused to provide informed consent, were under trusteeship or not affiliated with the French social security, were already included in the PTSD-REA study during a previous ICU stay, had cognitive incapacity, did not understand French sufficiently to complete questionnaires on psychiatric morbidity, or who transferred to another ICU at the end of the index ICU stay; collegial physician decision not to readmit to the ICU if the condition worsens after ICU discharge; patient’s advance directives in favor of no readmission to the ICU; or life expectancy of < 6 months at the end of the ICU stay. Consent was obtained from all participants.

According to the reason for admission, patients were assigned either to the COVID-19 cohort or the non-COVID-19 cohort. COVID-19 was diagnosed at hospital admission by positive real-time polymerase chain test or COVID-19 compatible or typical chest computed tomography pattern.

Data collection and definition of PTSD symptoms

In each participating ICU, a trained research assistant was dedicated to collecting demographic and medical data including cause of admission and main life support therapies. Dedicated trained psychologists were specifically recruited outside the participating ICUs to conduct the telephone interviews and collect PTSD symptoms and other data at the 6-month post-ICU follow-up (e.g., anxiety and depressive symptoms, experience of traumatic events, and history of childhood trauma or maltreatment). Training sessions conducted by a psychiatrist with expertise in PTSD were organized to increase inter-rater reliability.

PTSD symptoms were assessed using the French version of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders (DSM-5) (PCL-5) [35], which aligns fully with the most recent version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) [36]. The PCL-5 is a questionnaire consisting of 20 items that correspond to the DSM four-factor conceptualization of PTSD and its symptom clusters: intrusion symptoms (items 1 to 5), avoidance symptoms (items 6 to 7), negative alterations in cognition and mood (items 8 to 14), and increased arousal and reactivity (items 15 to 20). Thus, the PCL-5 thus contains four subscales corresponding to the abovementioned four symptom clusters. Each item is rated on a 5-point Likert-type scale from 0 (not at all) to 4 (extremely). The PCL-5 yields a total score ranging from 0 to 80, with higher scores indicating increased probability of having PTSD related to the event (i.e., index ICU hospitalization). In fact, all the patients were asked to complete the PCL-5 by indicating symptoms present in the past 30 days and related to their ICU experience.

The revised version of the Life Events Checklist for DSM-5 (LEC-5), which assesses exposure to 17 potentially traumatic events, was administered in addition to the PCL-5 to obtain a more exhaustive assessment of DSM-5 criterion A for PTSD [37]. The LEC-5 questionnaire was completed on a lifetime basis, enabling us to assess situations that increased the risk of PTSD prior to ICU hospitalization. For each event, the patient had to select the appropriate responses among the following proposals: (1) It happened to you personally; (2) you witnessed it happen to someone else; (3) you learned about I it happening to a close family member or close friend; (4) you were exposed to it as a part of your job; (5) you are not sure if it fits; or (6) it does not apply to you. Among the 17 potentially traumatic events, due to possible different impact of traumatic experiences on the occurrence of PTSD [38], we identified 4 items where a subject was victimized (victimization items) [39], namely physical assault, assault with a weapon, sexual assault, and other unwanted or uncomfortable sexual experience, which allowed us to determine whether each patient had been exposed to one or more of these four victimization items, either personally or as a witness.

A history of childhood trauma and maltreatment was assessed using the short version of the Childhood Trauma Questionnaire (CTQ), a 28-item questionnaire with a 5-point Likert-type scale (1 = “never true”, 2 = “rarely true”, 3 = “sometimes true”, 4 = “often true”, 5 = “very often true”). The CTQ is a retrospective measure of childhood trauma that has been psychometrically assessed in diverse populations [40]. Of the 28 items on the CTQ, 25 are split into five subscales: emotional abuse, physical abuse, sexual abuse, emotional neglect, and physical neglect. The three remaining items comprising the minimization/denial scale are used to determine if respondents are underreporting their childhood trauma. Each subscale is represented by questions with a score ranging from 5 to 25, which falls into four categories of trauma exposure intensity: none to low, low to moderate, moderate to severe, and severe to extreme. Scores above the recommended cut-off score for “low” severity on each of the subscales were considered cases of abuse and neglect. This criterion was chosen to emphasize test sensitivity to less severe cases.

We also assessed anxiety and depression symptoms at 6 months using the Hospital Anxiety and Depression Scale (HADS) [41]. The anxiety and depression subscales of HADS both include seven items, each rated on a 4-point scale from 0 to 3. Anxiety and depression scores yield scores from 0 to 21, with higher scores indicating increased probability of having anxiety or depression. Patients with a score ≥ 8 on either subscale are considered symptomatic with general anxiety or depressive symptoms [9, 10]. The HADS was developed to detect psychiatric symptoms in general medical patients [42].

Outcome measures

All outcome measures pertained to the individuals. The primary outcome was the prevalence of substantial PTSD symptoms (i.e., presumptive diagnosis of PTSD) as assessed by the PCL-5 as follows: a cut-off total score ≥ 33 and at least one of re-experiencing or intrusion symptom, one avoidance symptom, two symptoms of negative alterations in cognition and mood, and two arousal symptoms. A symptom was considered present and clinically relevant with a score of 2 or above [43, 44]. Secondary outcomes were total score on the PCL-5, prevalence of at least one re-experiencing symptom, prevalence of at least one avoidance symptom, prevalence of at least two symptoms of negative alterations in cognition and mood, prevalence of at least two arousal symptoms, prevalence of substantial anxiety symptoms, HADS anxiety score, prevalence of depressive symptoms, HADS depression score and markers of healthcare consumption since ICU discharge (medical visit, emergency department visit, hospitalization, psychotropic drug use, psychologic and/or psychiatric care).

Statistical analysis

Comparisons of baseline characteristics at ICU admission and during ICU stay between COVID-19 and non-COVID-19 patients were performed using the Student’s t-test or Mann–Whitney test for continuous variables (according to the variable distribution) and the chi-squared test or Fisher’s exact test for qualitative variables. The proportion of patients with PTSD and anxiety and depression symptomatology was provided for the whole sample and per group. Profiles of individuals with a presumptive diagnosis of PTSD, and substantial symptoms from each symptom cluster at 6 months after ICU discharge were determined. To identify the role of COVID-19 status in the presumptive diagnosis of PTSD and presence of substantial symptoms from each cluster symptom of PTSD, adjustment of eight confounding variables was performed using logistic regressions: age, sex, simplified acute physiology score (SAPS) II score, use of invasive mechanical ventilation, ICU duration, CTQ score, and exposure (either personally or as a witness) to at least one of the four victimization items on the LEC-5. The results are presented using odd ratios (OR) and their 95% confidence intervals (CIs). A sensitivity analysis was performed on the PCL-5 score as a dependent variable using a linear regression. The results are presented as standardized beta coefficients. All statistical analyses were performed with SPSS version 20.0 software.

Results

ICUs and patients

Among the 31 participating ICUs in the PTSD-REA study, 13 of them are located at academic tertiary care hospitals, and 18 are located at community hospitals. This study followed patients who were hospitalized in these 31 ICUs between March and April 2020 for COVID-19 or another cause. A total of 780 ICU survivors were included. The COVID-19 status was unknown for two patients, and 417 patients were assigned to the COVID-19 cohort, and 361 to the non-COVID-19 cohort. A 6-month follow-up was conducted for 509 patients (284 and 225 in the COVID-19 and non-COVID-19 cohorts, respectively) (Fig. 1). Of the 778 survivors assigned to both cohorts, 4 (0.5%) died before the 6-month follow-up assessment, 117 (15.0%) were lost to follow-up, 166 (21.3%) withdrew consent when contacted by telephone by the psychologist, 25 (3.2%) had cognitive incapacity to answer self-reported questionnaires, and 5 (0.6%) had a language barrier (Fig. 1). Because of missing PCL-5, 283 and 225 ICU survivors were analyzed for the primary outcome in the COVID-19 and non-COVID-19 cohorts, respectively. Key clinical and demographic characteristics at ICU admission, and use of life support therapies are presented in Table 1. Patients in the COVID-19 cohort were more often treated with invasive mechanical ventilation, extracorporeal membrane oxygenation, and vasopressors, and had a longer ICU stay than patients in the non-COVID-19 cohort (Table 1).

Fig. 1.

Fig. 1

CONSORT-style flow diagram of patients in the PTSD-REA COVID study. PCL-5 PTSD Checklist for DSM-5

Table 1.

Baseline characteristics of patients according to COVID-19 status (n = 509 patients)

Variable Total
(n = 509)
COVID-19
(n = 284)
Non-COVID-19
(n = 225)
p value
Age, year, mean (SD) 62 (13) 63 (11) 60 (14) 0.073
Male, n (%) 329 (65) 191 (67%) 138 (61%) 0.165
SAPS II scorea, mean (SD) 35.8 (14.9) [508] 35.5 (13.5) [283] 36.2 (16.6) 0.980
Invasive mechanical ventilation, n (%) 304/508 (60) 202/283 (71) 102 (45)  < 0.01
Non-invasive ventilation, n (%) 179/507 (35) 107/282 (38) 72 (32) 0.164
High-flow nasal oxygen, n (%) 142/507 (28) 105/282 (37) 37 (16)  < 0.01
Extracorporeal membrane oxygenation, n (%) 22 (4) 17 (6) 5 (2) 0.038
Use of vasopressors, n (%) 240/507 (47) 151/282 (53) 89 (40) 0.02
Renal replacement therapy, n (%) 42/507 (8) 23/282 (8) 19 (8) 0.907
Days in ICU, median (interquartile range) 7 (4–16) 12 (6–25) 5 (3–8)  < 0.01
Days in hospital after ICU discharge, median (interquartile range) 6 (2–12) 6 (0–13) 6 (3–12) 0.308

Boldface indicates significance with p < 0.05

SAPS Simplified Acute Physiology Score, ICU Intensive care unit

aSAPS II score may range from 0 to 156, with higher scores indicating more severe illness

Psychiatric morbidity and healthcare consumption at 6 months after ICU discharge

Of the 508 patients with available PCL-5 at 6 months after ICU discharge, 25 patients (4.9%) presented with presumptive diagnosis of PTSD based on all required criteria derived from the PCL-5. The prevalence of presumptive diagnosis of PTSD as assessed by PCL-5 did not differ between COVID-19 and non-COVID patients. COVID-19 patients reported significantly more frequent intrusion and avoidance symptoms than non-COVID patients (39% vs. 29%, p = 0.015 and 27% vs. 19%, p = 0.030, respectively). No significant difference was found between COVID and non-COVID patients with respect to the other symptom clusters. The median PCL-5 score was significantly higher in the COVID-19 cohort than in the non-COVID-19 cohort, 9 (3–20) vs. 7 (2–16) (p = 0.034) (Table 2). Of the 505 patients with available HADS, 154 (30%) and 86 (17%) patients presented with substantial anxiety and depression symptoms, respectively. The proportion of patients with substantial anxiety and depression symptoms did not significantly differ between COVID and non-COVID patients, as well as anxiety and depression scores derived from the HADS (Table 2).

Table 2.

Posttraumatic stress disorder (PTSD), substantial anxiety and depression symptoms and healthcare consumption after ICU discharge at 6 months (n = 509 patients)

Variable Total (n = 509) COVID-19 (n = 284) Non-COVID-19 (n = 225) p value
PTSD
Presumptive diagnosis of PTSDa, n (%) 25/508 (4.9) 14/283 (4.9) 11 (4.9) 0.976
Intrusion symptoms, n (%) 176/508 (35) 111/283 (39) 65 (29) 0.015
Avoidance symptoms, n (%) 118/508 (23) 76/283 (27) 42 (19) 0.030
Cognition and mood-related symptoms, n (%) 149/508 (29) 91/283 (32) 58 (26) 0.117
Arousal symptoms, n (%) 170/508 (33) 97/283 (34) 73 (32) 0.664
PCL-5 total scoreb 7 (3–18) 9 (3–20) 7 (2–16) 0.033
Anxiety symptoms
HADS anxiety scorec 5 (2–8) 5 (3–8) 5 (2–8) 0.372
Substantial anxiety symptomsd, n (%) 154/505 (30) 93/283 (33) 61/222 (27) 0.194
Depression symptoms
HADS depression scorec 3 (1–6) 3 (1–6) 3 (1–6) 0.973
Substantial depression symptomsd, n (%) 86/505 (17) 48/283 (17) 38/222 (17) 0.963
Health consumption since ICU discharge
Visit to primary care physician, n (%) 466/506 (92) 260/283 (92) 206/223 (927) 0.835
Emergency department visit, n (%) 73/501 (15) 33/281 (23) 40/220 (18) 0.043
Hospitalization, n (%) 138/501 (28) 66/281 (17) 72/222 (33) 0.022
Psychotropic drug use, n (%) 78/503 (16) 46/280 (16) 32/223 (14) 0.522
Psychologic and /or psychiatric care, n (%) 58/503 (12) 31/280 (11) 27/223 (12) 0.718

Boldface indicates significance with p < 0.05

ICU Intensive care unit, PCL-5 PTSD Checklist for DSM-5, HADS Hospital Anxiety and Depression Scale

PCL-5 total score, HADS anxiety score, and HADS depression score are presented as the median with interquartile range (IQR) in parentheses

aPTSD was diagnosed using the cut-off total score of 33 with at least one intrusion symptom, one avoidance symptom, two symptoms of negative alterations in cognition and mood, and two arousal symptoms. A symptom was considered present if the score of the corresponding item was 2 or above on a 5-point Likert-type scale

bPCL-5 score is a self-reported questionnaire consisted of 20 items; each related on a 5-point scale from 0 to 4 and may range from 0 to 80, with higher scores indicating increased probability of having PTSD

cThe anxiety and depression subscales of HADS both include 7 items; each rated on a 4-point scale from 0 to 3 and may range from 0 to 21 with higher scores indicating increased probability of having anxiety or depression, respectively

d Patients with a score ≥ 8 on each subscale were considered with substantial symptoms

During the 6 months following the ICU discharge, most patients (92%) visited their primary care physician, 15% went at least once to the emergency department, and 28% were hospitalized again at least once. Of the 503 patients assessed at 6 months with available data regarding psychological and/or psychiatric care, 16% reported continuous or intermittent use of psychotropic drugs, and 12% had benefited from psychologic and/or psychiatric care. Use of psychotropic drugs and psychologic and/or psychiatric care after ICU discharge were found to be linked with the presumptive diagnosis of PTSD in both cohorts.

Impact of COVID-19 status on the presumptive diagnosis of PTSD at 6 months after ICU discharge

Univariate analysis showed that sex (female) and exposure to the victimization items on the LEC-5 were positively correlated, and age and ICU stay duration were negatively with the presumptive diagnosis of PTSD (Table 3). Through a multivariate model built with adjustment for the eight potential confounding covariates (age, sex, SAPS II score, use of invasive mechanical ventilation, ICU duration, history of childhood trauma and maltreatment as assessed by the total score derived from CTQ, and exposure to at least one of the four victimization items of the LEC-5), COVID-19 was not linked to the presumptive diagnosis of PTSD. Only female sex was found to be linked to the presumptive diagnosis of PTSD. The COVID-19 status was not linked to the PCL-5 score as a continuous variable (Table 4). The COVID-19 status was linked to the intrusion and avoidance symptoms, but not to symptoms of negative alterations in cognition and mood or arousal symptoms. For each of the four symptom clusters of PTSD, determinants among the eight potential confounding covariates are presented in Table 4.

Table 3.

Determinants of presumptive diagnosis of PTSD: univariate analysis (n = 508 patients)

No PTSD (n = 483) PTSD (n = 25) p value
COVID-19 status No COVID-19, n(%) 214/483 (44%) 11/25 (44%) 0.976
COVID-19, n(%) 269/483 (56%) 14/25 (56%)
Sex Men, n(%) 323/483 (67%) 5/25 (20%)  < 0.001
Women, n(%) 160/483 (33%) 20/25 (80%)
Age, mean (SD) 62 (13) [483] 54 (15) [25] 0.001
SAPS IIa, mean (SD) 36 (15) [482] 31 (12) [25] 0.122
Invasive mechanical ventilation No, n(%) 194/483 (40%) 10/24 (42%) 0.884
Yes, n(%) 289/483 (60%) 14/24 (58%)
Non-invasive ventilation No, n(%) 309/482 (64%) 18/24 (75%) 0.276
Yes, n(%) 173/482 (36%) 6/24 (25%)
High-flow nasal oxygen No, n(%) 346/482 (72%) 18/24 (75%) 0.732
Yes, n(%) 136/482 (28%) 6/24 (25%)
Use of vasopressors No, n(%) 252/482 (52%) 15/24 (63%) 0.328
Yes, n(%) 230/482 (48%) 9/24 (38%)
Days in ICU 7 (4–16) [483] 4 (3–9) [25] 0.046
Days in hospital after ICU discharge 6 (2–12) [483] 5 (2–13)[25] 0.781
Childhood trauma and maltreatment (CTQ)b
Emotional abuse No, n(%) 269/333 (81%) 12/18 (67%) 0.220
Yes, n(%) 64/333 (19%) 6/18 (33%)
Physical abuse No, n(%) 293/336 (87%) 13/18 (72%) 0.081
Yes, n(%) 43/336 (13%) 5/18 (28%)
Sexual abuse No, n(%) 306/337 (91%) 14/18 (78%) 0.089
Yes, n(%) 31/337 (9%) 4/18 (22%)
Physical neglect No, n(%) 277/336 (82%) 14/18 (78%) 0.539
Yes, n(%) 59/336 (18%) 4/18 (22%)
Emotional neglect No, n(%) 186/337 (55%) 11/18 (61%) 0.809
Yes, n(%) 151/337 (45%) 7/18 (39%)
CTQ total scorec 31 (28–37) [343] 36 (29–43) [18] 0.126
Exposure to the victimization items of LEC5d No, n(%) 342/465 (74%) 11/24 (46%)
Yes, n(%) 123/465 (26%) 13/24 (54%) 0.003

Boldface indicates significance with p < 0.05

PTSD posttraumatic stress disorder, SAPS Simplified Acute Physiology Score, CTQ Childhood trauma questionnaire, LEC-5, Life Events Checklist for DSM-5

Days in ICU, days after ICU discharge, and CTQ total score are presented as median with interquartile range (IQR) in parentheses

a SAPS II score may range from 0 to 156, with higher scores indicating more severe illness

b The CTQ is a 28-item questionnaire with a 5-point Likert-type scale (1 = never true, 2 = rarely true, 3 = sometimes true, 4 = often true, 5 = very often true) split into five subscales exploring emotional abuse, physical abuse, sexual abuse, physical neglect, and emotional neglect, occurred during childhood. Each subscale is represented by five questions with a score range from 5 to 25. Guidelines specified the range of scores that fall into four categories according to the severity of abuse or neglect for each subscale: none to low, low to moderate, moderate to severe, and severe to extreme. Scores above the recommended cut-score for low severity on each of the subscales were considered cases of abuse and neglect. This criterion was chosen to emphasize test sensitivity to less severe cases

cWe used in our model the sum of the 25 items exploring the five subscales (without taking into account the 3 minimization/denial items used in a scale that screens for the likelihood of underreporting traumatic experiences)

dWe used in our model only exposure (as personally or as a witness) to one or more of the 4 items of victimization (physical assault, assault with a weapon, sexual assault or other unwanted or uncomfortable sexual experience) among the 17 items of the LEC-5

Table 4.

Determinants of presumptive PTSD and each symptom cluster of PTSD at 6 months after ICU discharge: multivariate analysis (n = 508 patients)

OR (95% CI) p value
Presumptive diagnosis of PTSDa
COVID-19 status 1.436 (0.480–4.297) 0.517
Female sex 5.632 (1.722–18.424) 0.004
Age 0.979 (0.943–1.016) 0.264
SAPS IIb 0,988 (0.949–1.029) 0.553
Invasive mechanical ventilation 1.587 (0.513–4.907) 0.422
Days in the ICU 0.978 (0.925–1.034) 0.435
Childhood trauma as assessed by CTQc 1.001 (0.965–1.039) 0.948
Exposure to potentially traumatic “victimization” events as assessed by LEC-5d 2.160 (0.736–6.343) 0.161
Intrusion symptoms of PTSDe
COVID-19 status 1.897 [1.113–3.234] 0.019
Female sex 2.812[1.716–4.608]  < 0.001
Age 0.974 [0.955–0.993] 0.007
SAPS IIb 0,998 [0.981–1.016] 0.842
Invasive mechanical ventilation 1.091 [0.625–1.904] 0.760
Days in the ICU 1.008 [0.992–1.025] 0.319
Childhood trauma and maltreatment as assessed by CTQc 1.006 [0.985–1.028] 0.582
Exposure to potentially traumatic “victimization” events as assessed by LEC-5d 1.909 [1.162–3.136] 0.011
Avoidance symptoms of PTSDf
COVID-19 status 2.569 [1.386–4.763] 0.003
Female sex 2.464 [1.425–4.262]  < 0.001
Age 0.959 [0.938–0.980] 0.001
SAPS IIb 0,992 [0.971–1.013] 0.444
Invasive mechanical ventilation 1.052 [0.562–1.971] 0.874
Days in the ICU 0.984 [0.961–1.008] 0.191
Childhood trauma and maltreatment as assessed by CTQc 0.998 [0.975–1.022] 0.883
Exposure to potentially traumatic “victimization” events as assessed by LEC-5d 1.255 [0.706–2.231] 0.438
Symptoms of negative alterations in cognition and moodg
COVID-19 status 1.542 [0.864–2.751] 0.143
Female sex 4.482 [2.640–7.611]  < 0.001
Age 0.979 [0.959–0.999] 0.042
SAPS IIb 0,996 [0.977–1.015] 0.649
Invasive mechanical ventilation 2.113 [0.562–1.971] 0.017
Days in the ICU 0.984 [1.141–3.914] 0.268
Childhood trauma and maltreatment as assessed by CTQc 1.033 [1.009–1.059] 0.008
Exposure to potentially traumatic “victimization” events as assessed by LEC-5d 1.803 [1.050–3.098] 0.033
Arousal symptomsh
COVID-19 status 1.095 [0.644–1.862] 0.738
Female sex 2.869 [1.754–4.694]  < 0.001
Age 0.973 [0.954–0.992] 0.006
SAPSIIb 0,988 [0.970–1.006] 0.184
Invasive mechanical ventilation 1.064 [0.607–1.863] 0.829
Days in the ICU 1.004 [0.987–1.022] 0.623
Childhood trauma and maltreatment as assessed by CTQc 1.038 [1.014–1.062] 0.002
Exposure to potentially traumatic “victimization” events as assessed by LEC-5d 0.906 [0.537–1.527] 0.711
PCL-5 score Standardized beta coefficients
COVID-19 status 0.095 0.071
Female sex 0.307  < 0.001
Age − 0.205  < 0.001
SAPSIIb − 0,028 0.602
Invasive mechanical ventilation 0.084 0.123
Days in the ICU − 0.028 0.607
Childhood trauma and maltreatment as assessed by CTQc 0.176  < 0.001
Exposure to potentially traumatic “victimization” events as assessed by LEC-5d 0.047 0.037

Boldface indicates significance with p < 0.05

PTSD posttraumatic stress disorder, ICU intensive care unit, OR odds ratio, CI confidence interval SAPS Simplified Acute Physiology Score, CTQ Childhood trauma questionnaire, LEC-5 Life Events Checklist for DSM-5, PCL-5 PTSD Checklist for DSM-5

aPresumptive diagnosis of PTSD was assessed from PCL-5 as follows: a cut-off total score of 33 or above and at least one re-experiencing or intrusion symptom, one avoidance symptoms, two symptoms of negative alterations in cognition and mood, and two arousal symptoms. A symptom was considered present and clinically relevant with a score of 2 or above

bSAPS II score may range from 0 to 156, with higher scores indicating more severe illness

cThe CTQ is a 28-item questionnaire with a 5-point Likert-type scale (1 = never true, 2 = rarely true, 3 = sometimes true, 4 = often true, 5 = very often true) split into five subscales exploring emotional abuse, physical abuse, sexual abuse, physical neglect, and emotional neglect, occurred during childhood. Each subscale is represented by five questions with a score range from 5 to 25. We used in our model the sum of these 25 items (without taking into account the 3 minimization/denial items)

dWe used in our model only exposure (as personally or as a witness) to one or more of the 4 “victimization” items (physical assault, assault with a weapon, sexual assault or other unwanted or uncomfortable sexual experience) among the 17 items of the LEC-5

eIntrusion symptoms were considered present if at least one intrusive symptom was reported with a score of 2 or above

fAvoidance symptoms were considered present if at least one avoidance symptom was reported with a score of 2 or above

gSymptoms of negative alterations in cognition and mood were considered present if at least two symptoms of negative alterations in cognition and mood were reported with a score of 2 or above

hArousal symptoms were considered present if at least two arousal symptoms were reported with a score of 2 or above

Discussion

In this prospective cohort study involving critically ill adult patients hospitalized in France in the ICU during the first wave of the COVID-19 pandemic, regardless of the reason for admission (COVID-19 or another cause), and surviving an ICU hospitalization of 3 days or more, we found that the prevalence of presumptive diagnosis of PTSD based on all required criteria derived from the PCL-5 was low at about 5% and not impacted by COVID-19 status.

Regarding PTSD, we found a lower prevalence in both cohorts compared with previous studies [20, 22, 45, 46]. The use of restrictive criteria derived from the PCL-5 questionnaire for the presumptive diagnosis of PTSD could explain this difference. In fact, in most other studies, the authors used different diagnostic tools [20, 46], such as the revised impact of event scale (IES-R), which was not adapted to the new criteria for the presumptive diagnosis of PTSD according to the DSM-5. Another possible explanation for this difference is that we assessed PTSD only at a single time point, 6 months after ICU discharge, without being able to detect early-onset and rapidly improving PTSD or PTSD with a later onset.

Previous studies have shown that patients affected by COVID-19 should be considered as at risk patients for developing PTSD, and some authors have requested a specific survey for these patients to detect the occurrence of posttraumatic symptoms as early as possible [47]. We did not find these results for the presumptive diagnosis of PTSD assessed by PCL-5. However, we found differences in the prevalence of both intrusion and avoidance symptoms in patients hospitalized in the ICU for COVID-19 compared with ICU hospitalization for other causes. Moreover, the total score on the PCL-5 was higher in the COVID-19 than non-COVID-19 cohort. These results and the fact that intrusion symptoms are central to the diagnosis of PTSD suggest that COVID-19 infection resulting in ICU stay could have an impact on the occurrence of PTSD.

Risk factors for PTSD after an ICU stay can be classified as pre-ICU non-modifiable factors (psychological factors such as depression history or previous PTSD, and demographic factors such as age and sex) and factors linked to the ICU hospitalization such as the actual cause or syndrome leading to ICU stay, life support therapies implemented in the ICU, perception of threat to life, delusional memories, delirium, or other factors making the ICU experience more traumatic [22]. In our study, as might be expected given the results of epidemiologic COVID-19 studies [32], characteristics of ICU stays for COVID-19 were different from those of ICU stays for other reasons: the patients affected by COVID-19, most of whom having presented with pneumonia characterized by severe hypoxemia, were much more often treated with invasive mechanical ventilation and had a longer ICU stay than patients admitted to the ICU for causes other than COVID-19. Finally, COVID-19 affected men more often than women and the age distribution in this study was specific for COVID-19 with a higher incidence in older patients. Therefore, it was essential for our multivariate model to take into account these differences, namely age, sex, severity score, use of invasive mechanical ventilation, and ICU duration, to assess the impact of COVID-19 on the occurrence of PTSD.

Our study had significant methodological strengths. First, to the best of our knowledge, this study is the first prospective cohort study comparing critically ill patients hospitalized in the same ICU during the same period whether for COVID-19 or another cause. The impact of being hospitalized in the ICU during the pandemic period, a time in which normal ICU operations were disrupted (most often by banning visits from relatives) and characterized by intensive and daily media coverage, was the same for both cohorts, making it possible to compare the impact of PTSD according to COVID-19 status without bias. Second, although we did not collect precise data on psychiatric history, usually considered as a risk factor for PTSD, we collected other pre-ICU psychological risk factors for PTSD and introduced previous trauma experiences in our multivariate model, as assessed by the administration of LEC-5 and even childhood trauma or maltreatment during the childhood. To the best of our knowledge, this is the only study involving critically ill patients taking into account such early psychological non-modifiable factors. Third, unlike other authors who have used previous questionnaires to detect PTSD such as IES-R, which do not take into account the new fourth symptom cluster of negative alterations in cognition and mood included in the actualized diagnostic of PTSD according to the DSM-5, we used the PCL-5 for the presumptive diagnosis of PTSD that is fully aligned with the DSM-5, even if the PCL-5 has not been yet validated in ICU populations [48]. Fourth, trained psychologists who administered PCL-5 were independent from all the participating ICUs and were unaware of the reason for ICU admission.

Our study also had several limitations. First, we assessed PTSD symptoms only at 6 months, making impossible to detect the evolution of eventual PTSD symptoms by using several follow-up time points: either late PTSD symptoms beyond 6 months, or early PTSD symptoms resolved before the 6-month follow-up. Second, our study only assessed the presumptive diagnosis of PTSD and was not designed to confirm the diagnosis of PTSD with a semi-structured PTSD clinical interview, which is considered the gold-standard tool to diagnose PTSD [49]. Third, the response rate was relatively low with about one-third of included patients not assessed with PCL-5 at 6 months. However, our response rate was higher than the response rates reported by authors conducting postal surveys to detect depression, anxiety, or PTSD symptoms after an ICU stay [45]. Moreover, the primary objective of our study was to compare the prevalence of PTSD in critically ill COVID-19 and non-COVID-19 patients, and the response rate was similar in both cohorts making our conclusion valid. Fourth, the assessments were only telephone-based, which is usually reliable enough for data collection as compared to in-person interviews, but face-to-face interviews may be preferred by some patients. Nonetheless, teleconsultation was the preferred option during the pandemic. Fifth, we did not perform formal inter-rater reliability assessments of our psychologists who conducted the telephone-based assessments, which could affect our findings. However, all of the psychologists were highly trained in administering mental health measures and received clear instructions to harmonize the evaluation practice. Sixthly, we excluded patients with low probability of survival at 6 months as well as those considered a priori unable to completing the PCL-5 using the PCL-5. These exclusion criteria could have altered the prevalence of PTSD at 6 months. These limitations combined with the use of PCL-5 may explain the lower prevalence of PTSD after an ICU stay than that reported by most authors. Another limitation of our study was the lack of precise data characterizing the ICU stay, especially data related to potential painful or discomfort-inducing procedures, as well as the presence of delirium or hallucinations, which may promote PTSD [50]. We did not collect data regarding sedative drugs, especially the use of benzodiazepines [22] or the use of physical restraints [51] considered by some authors as a risk factor for PTSD or glucocorticoids, which could have protective effects on the onset of PTSD after ICU stay [52]. We also did not measure the overall discomfort score at the end of the ICU stay, which may influence the occurrence of PTSD after ICU stay [53]. We did not explore in depth the nature of intrusive memories in patients with intrusion symptoms, whether they were hallucinations and/or delusions, or factual events from the ICU, since frightening hallucinations/delusions are considered to increase the risk of PTSD than memories of real events [50]. Finally, since we collected the CTQ and the LEC-5 several months after ICU discharge, we may have underestimated the incidence of these traumatic events that may have occurred prior to ICU stay, due to possible long-term cognitive impairment after critical illness [7]. In this respect, we recommend in future studies to use life history calendars to improve recall of potentially traumatic experience [54].

Our study confirmed the central role of sex as a risk factor for PTSD. Similar to other authors, we did not find an association between the severity of the critical illness at admission to the ICU, and ICU duration or invasive mechanical ventilation [22]. Non-modifiable pre-ICU risk factors such as sex and to a lesser extent age, or preexisting psychologic symptoms or psychiatric history seem to play a more important role in the occurrence of ICU-related PTSD than modifiable in ICU factors [21]. Even if COVID-19 status was not found to be an independent variable associated with the prevalence of PTSD at 6 months after ICU discharge, some diagnosis clusters of PTSD were more frequent at 6 months in COVID-19 patients than in non-COVID-19 patients.

In conclusion, the COVID-19 status was not associated with PTSD as assessed by PCL-5 at 6 months after ICU discharge. However, being hospitalized in the ICU for COVID-19 seems to lead to more frequent intrusion and avoidance symptoms, which correspond to the first two diagnosis clusters of PTSD.

Acknowledgements

We thank all of the nursing staff members and doctors whose enthusiasm and work have made this clinical trial possible. We particularly thank Cécile Jourdain, Leslie Lehaie (CH de Chartres) for their major and invaluable role in providing technical and educational support to all the investigators under the supervision of the lead investigator; all the psychologists for conducting professional patient interviews and administering all the follow-up questionnaires with the greatest care and attention (alphabetically): Hortense Catry, Anne-Laure Dubus, Léa Laugery, Marion Lintaff, Mélanie Lourseyre, Lou Merigard, Lisa Michel, Nawal Ouhmad, Solenn Petit, Laurence Tricoche. Members of the PTSD-REA study group: Co-investigators and collaborators (alphabetically by institution, all in France) from Centre Hospitalier Universitaire (CHU) d’Angers: Florent Beaumale, Anne-Sylvie Scholastique; Centre Hospitalier (CH) d’Auxerre: Emmanuelle Mougenot; Hôpital Simone Veil, Blois: Céline Delerue, Marc Feller, Julien Grouille, Charles-Edouard Rochon; Hôpital Louis Pasteur, CH de Chartres: Juliette Audibert, Gaëtan Badre, Cécile Jourdain, Leslie Lehaie; CHU Dijon Bourgogne: Hasni Si Abdelkader, Emilie Henry, Marie Labruyere; CH de Douai: Claire Boulle-Geronimi; CH de Lens: Stéphanie Beaussard, Olivier Nigeon; Hôpital Emile Roux, Le Puy-en-Velay: Anthea Loiez; CHU Edouard Herriot, Hospices civils de Lyon: Valérie Cerro; CH de Mâcon: Laetitia Marchand; Hôpital Nord, Assistance Publique-Hôpitaux de Marseille: Charlotte Arbelot, Karine Buzelier; Hôpital Européen de Marseille: Deborah Levy; CH de Montargis: Pascale Leloup, Karim Messaoudi; Groupe Hospitalier de la Région de Mulhouse Sud Alsace, Mulhouse: Camille Alzina; Clinique Ambroise Paré, Neuilly sur Seine: Lee Nguyen, Steve Nowak; Hôpital Pasteur, CHU de Nice: Carole Ichai, Aminata Diop; Hôpital Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris (APHP): Hélène Brisson, Jean-Michel Constantin, Samia Lakhal, Madjid Oudihat; CHU de Poitiers: Rémi Coudroy, Carole Guyon, Jean-Pierre Frat, René Robert; Hôpital privé Claude Galien, Quincy-sous-Sénart: Nadine Lubango; Hôpital Victor Provo, Roubaix: Lisa Villequey; Hôpital de Hautepierre, CHU de Strasbourg: Stéphane Hecketsweiler, Nicolas Partouche; Hôpital Sainte-Musse, Toulon: Laurent Ducros, Vincent Gardan, Julie Rivoire; CHRU de Tours: Véronique Simeon-Vieules; CH de Troyes: Stéphanie Deparis Dusautois, Lamia Lamri, Alexandra Lavalart.

Abbreviations

COVID-19

Coronavirus disease 2019

CTQ

Childhood trauma questionnaire

ICU

Intensive care unit

LEC-5

Life events checklist for DSM-5

PCL-5

PTSD Checklist for DSM-5

PTSD

Posttraumatic stress disorder

Author contributions

PK was principal investigator and obtained funding. PK, WE-H, M-AG, BM, KB, and PA conceptualized and designed the PTSD-REA COVID study. PK, M-AG, LB-C, KK, P-YD, DT, JP,JC-C, AG, RDV, SV, PE, AB, MN, NR, GS, BK, ASO, TS, ML, CD, ASE, SL, J-PQ, AM, OM, MP, R-GP, WN, AWT, and GH collected the data. PK and BM coordinated the study and supervised data collection. CF, KB, and PA performed statistical analysis. PK, WE-H, CF, KB, and PA analyzed and interpreted the data. PK, WE-H, and KB drafted the manuscript. PK, WE-H, KB, and PA revised the manuscript for important intellectual content. All authors approved the final manuscript. PK had full access to all data of the study and had final responsibility for the decision to submit the manuscript.

Funding

This research was financially supported by a grant from the Programme de Recherche sur la Performance du Système de Soins, 2018, PREPS-18–0812, funded by the French Ministry of Health.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author in response to reasonable requests.

Declarations

Ethics approval and consent to participate

Regulatory monitoring was performed in accordance with the French law requiring the approval of the French ethics committee (Comité de Protection des Personnes Ile de France IV, Institutional Review Board, Agreement of US Department of Health and Human Services, 23/05//2019, reference number 2019/38, ID-RCB 2019-A00151-56 for the PTSD-REA study, with substantial modification for the PTSD-REA COVID study, 25/06/2020). Consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

Dr. Kalfon received consulting fees from General Electric Healthcare. On behalf of all remaining authors, the corresponding author states that the remaining authors have no conflict of interest.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Pierre Kalfon, Email: pierrekalfon@sfr.fr.

PTSD-REA Study group:

Hortense Catry, Anne-Laure Dubus, Léa Laugery, Marion Lintaff, Mélanie Lourseyre, Lou Merigard, Lisa Michel, Nawal Ouhmad, Solenn Petit, Laurence Tricoche, Florent Beaumale, Anne-Sylvie Scholastique, Emmanuelle Mougenot, Céline Delerue, Marc Feller, Julien Grouille, Charles-Edouard Rochon, Juliette Audibert, Gaëtan Badre, Cécile Jourdain, Leslie Lehaie, Hasni Si Abdelkader, Emilie Henry, Marie Labruyere, Claire Boulle-Geronimi, Stéphanie Beaussard, Olivier Nigeon, Anthea Loiez, Valérie Cerro, Laetitia Marchand, Charlotte Arbelot, Karine Buzelier, Deborah Levy, Pascale Leloup, Karim Messaoudi, Camille Alzina, Lee Nguyen, Steve Nowak, Carole Ichai, Aminata Diop, Hélène Brisson, Jean-Michel Constantin, Samia Lakhal, Madjid Oudihat, Rémi Coudroy, Carole Guyon, Jean-Pierre Frat, René Robert, Nadine Lubango, Lisa Villequey, Stéphane Hecketsweiler, Nicolas Partouche, Laurent Ducros, Vincent Gardan, Julie Rivoire, Stéphanie Deparis-Dusautois, Lamia Lamri, and Alexandra Lavalart

References

  • 1.Soehren P. Stressors perceived by cardiac surgical patients in the intensive care unit. Am J Crit Care. 1995;4(1):71–76. doi: 10.4037/ajcc1995.4.1.71. [DOI] [PubMed] [Google Scholar]
  • 2.Novaes MA, Aronovich A, Ferraz MB, Knobel E. Stressors in ICU: patients' evaluation. Intensive Care Med. 1997;23(12):1282–1285. doi: 10.1007/s001340050500. [DOI] [PubMed] [Google Scholar]
  • 3.Simini B. Patients' perceptions of intensive care. Lancet. 1999;354(9178):571–572. doi: 10.1016/S0140-6736(99)02728-2. [DOI] [PubMed] [Google Scholar]
  • 4.Nelson JE, Meier DE, Oei EJ, Nierman DM, Senzel RS, Manfredi PL, Davis SM, Morrison RS. Self-reported symptom experience of critically ill cancer patients receiving intensive care. Crit Care Med. 2001;29(2):277–282. doi: 10.1097/00003246-200102000-00010. [DOI] [PubMed] [Google Scholar]
  • 5.Rotondi AJ, Chelluri L, Sirio C, Mendelsohn A, Schulz R, Belle S, Im K, Donahoe M, Pinsky MR. Patients' recollections of stressful experiences while receiving prolonged mechanical ventilation in an intensive care unit. Crit Care Med. 2002;30(4):746–752. doi: 10.1097/00003246-200204000-00004. [DOI] [PubMed] [Google Scholar]
  • 6.van de Leur JP, van der Schans CP, Loef BG, Deelman BG, Geertzen JH, Zwaveling JH. Discomfort and factual recollection in intensive care unit patients. Crit Care. 2004;8(6):R467–R473. doi: 10.1186/cc2976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Pandharipande PP, Girard TD, Jackson JC, Morandi A, Thompson JL, Pun BT, Brummel NE, Hughes CG, Vasilevskis EE, Shintani AK, et al. Long-term cognitive impairment after critical illness. N Engl J Med. 2013;369(14):1306–1316. doi: 10.1056/NEJMoa1301372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Davydow DS, Gifford JM, Desai SV, Bienvenu OJ, Needham DM. 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]
  • 9.Nikayin S, Rabiee A, Hashem MD, Huang M, Bienvenu OJ, Turnbull AE, Needham DM. Anxiety symptoms in survivors of critical illness: a systematic review and meta-analysis. Gen Hosp Psychiatry. 2016;43:23–29. doi: 10.1016/j.genhosppsych.2016.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Rabiee A, Nikayin S, Hashem MD, Huang M, Dinglas VD, Bienvenu OJ, Turnbull AE, Needham DM. Depressive symptoms after critical illness: a systematic review and meta-analysis. Crit Care Med. 2016;44(9):1744–1753. doi: 10.1097/CCM.0000000000001811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Cuthbertson BH, Hull A, Strachan M, Scott J. Post-traumatic stress disorder after critical illness requiring general intensive care. Intensive Care Med. 2004;30(3):450–455. doi: 10.1007/s00134-003-2004-8. [DOI] [PubMed] [Google Scholar]
  • 12.Griffiths J, Fortune G, Barber V, Young JD. The prevalence of post traumatic stress disorder in survivors of ICU treatment: a systematic review. Intensive Care Med. 2007;33(9):1506–1518. doi: 10.1007/s00134-007-0730-z. [DOI] [PubMed] [Google Scholar]
  • 13.Jackson JC, Hart RP, Gordon SM, Hopkins RO, Girard TD, Ely EW. Post-traumatic stress disorder and post-traumatic stress symptoms following critical illness in medical intensive care unit patients: assessing the magnitude of the problem. Crit Care. 2007;11(1):R27. doi: 10.1186/cc5707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Dowdy DW, Eid MP, Sedrakyan A, Mendez-Tellez PA, Pronovost PJ, Herridge MS, Needham DM. Quality of life in adult survivors of critical illness: a systematic review of the literature. Intensive Care Med. 2005;31(5):611–620. doi: 10.1007/s00134-005-2592-6. [DOI] [PubMed] [Google Scholar]
  • 15.Granja C, Lopes A, Moreira S, Dias C, Costa-Pereira A, Carneiro A, Group JS Patients' recollections of experiences in the intensive care unit may affect their quality of life. Crit Care. 2005;9(2):R96–109. doi: 10.1186/cc3026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.McKinley S, Aitken LM, Alison JA, King M, Leslie G, Burmeister E, Elliott D. Sleep and other factors associated with mental health and psychological distress after intensive care for critical illness. Intensive Care Med. 2012;38(4):627–633. doi: 10.1007/s00134-012-2477-4. [DOI] [PubMed] [Google Scholar]
  • 17.Schelling G, Richter M, Roozendaal B, Rothenhausler HB, Krauseneck T, Stoll C, Nollert G, Schmidt M, Kapfhammer HP. Exposure to high stress in the intensive care unit may have negative effects on health-related quality-of-life outcomes after cardiac surgery. Crit Care Med. 2003;31(7):1971–1980. doi: 10.1097/01.CCM.0000069512.10544.40. [DOI] [PubMed] [Google Scholar]
  • 18.Pacella ML, Hruska B, Delahanty DL. The physical health consequences of PTSD and PTSD symptoms: a meta-analytic review. J Anxiety Disord. 2013;27(1):33–46. doi: 10.1016/j.janxdis.2012.08.004. [DOI] [PubMed] [Google Scholar]
  • 19.Davydow DS, Hough CL, Zatzick D, Katon WJ. Psychiatric symptoms and acute care service utilization over the course of the year following medical-surgical ICU admission: a longitudinal investigation. Crit Care Med. 2014;42(12):2473–2481. doi: 10.1097/CCM.0000000000000527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Righy C, Rosa RG, da Silva RTA, Kochhann R, Migliavaca CB, Robinson CC, Teche SP, Teixeira C, Bozza FA, Falavigna M. Prevalence of post-traumatic stress disorder symptoms in adult critical care survivors: a systematic review and meta-analysis. Crit Care. 2019;23(1):213. doi: 10.1186/s13054-019-2489-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Patel MB, Jackson JC, Morandi A, Girard TD, Hughes CG, Thompson JL, Kiehl AL, Elstad MR, Wasserstein ML, Goodman RB, et al. Incidence and risk factors for intensive care unit-related post-traumatic stress disorder in veterans and civilians. Am J Respir Crit Care Med. 2016;193(12):1373–1381. doi: 10.1164/rccm.201506-1158OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wade D, Hardy R, Howell D, Mythen M. Identifying clinical and acute psychological risk factors for PTSD after critical care: a systematic review. Minerva Anestesiol. 2013;79(8):944–963. [PubMed] [Google Scholar]
  • 23.Stoll C, Kapfhammer HP, Rothenhausler HB, Haller M, Briegel J, Schmidt M, Krauseneck T, Durst K, Schelling G. Sensitivity and specificity of a screening test to document traumatic experiences and to diagnose post-traumatic stress disorder in ARDS patients after intensive care treatment. Intensive Care Med. 1999;25(7):697–704. doi: 10.1007/s001340050932. [DOI] [PubMed] [Google Scholar]
  • 24.Chen Y, Huang X, Zhang C, An Y, Liang Y, Yang Y, Liu Z. Prevalence and predictors of posttraumatic stress disorder, depression and anxiety among hospitalized patients with coronavirus disease 2019 in China. BMC Psychiatry. 2021;21(1):80. doi: 10.1186/s12888-021-03076-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Fjone KS, Buanes EA, Smastuen MC, Laake JH, Stubberud J, Hofso K. Post-traumatic stress symptoms six months after ICU admission with COVID-19: Prospective observational study. J Clin Nurs. 2024;33(1):103–114. doi: 10.1111/jocn.16665. [DOI] [PubMed] [Google Scholar]
  • 26.Guillen-Burgos HF, Galvez-Florez JF, Moreno-Lopez S, Gonzalez I, Guillen M, Anaya JM. Factors associated with mental health outcomes after COVID-19: a 24-month follow-up longitudinal study. Gen Hosp Psychiatry. 2023;84:241–249. doi: 10.1016/j.genhosppsych.2023.08.009. [DOI] [PubMed] [Google Scholar]
  • 27.Herrmann J, Muller K, Notz Q, Hubsch M, Haas K, Horn A, Schmidt J, Heuschmann P, Maschmann J, Frosch M, et al. Prospective single-center study of health-related quality of life after COVID-19 in ICU and non-ICU patients. Sci Rep. 2023;13(1):6785. doi: 10.1038/s41598-023-33783-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Horn M, Wathelet M, Fovet T, Amad A, Vuotto F, Faure K, Astier T, Noel H, Duhem S, Vaiva G, et al. Is COVID-19 Associated with posttraumatic stress disorder? J Clin Psychiatry. 2020;82(1):9886. doi: 10.4088/JCP.20m13641. [DOI] [PubMed] [Google Scholar]
  • 29.Laurent R, Correia P, Lachand R, Diconne E, Ezingeard E, Bruna F, Guenier PA, Page D, Perinel-Ragey S, Thiery G. Long-term outcomes of COVID-19 intensive care unit survivors and their family members: a one year follow-up prospective study. Front Public Health. 2023;11:1236990. doi: 10.3389/fpubh.2023.1236990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Miori S, Sanna A, Lassola S, Cicolini E, Zanella R, Magnoni S, De Rosa S, Bellani G, Umbrello M. Incidence, risk factors, and consequences of post-traumatic stress disorder symptoms in survivors of COVID-19-related ARDS. Int J Environ Res Public Health. 2023;20(8):5504. doi: 10.3390/ijerph20085504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Azoulay E, Resche-Rigon M, Megarbane B, Reuter D, Labbe V, Cariou A, Geri G, Van der Meersch G, Kouatchet A, Guisset O, et al. Association of COVID-19 acute respiratory distress syndrome with symptoms of posttraumatic stress disorder in family members after ICU discharge. JAMA. 2022;327(11):1042–1050. doi: 10.1001/jama.2022.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Network C-IGobotR, the C-ICUI: Clinical characteristics and day-90 outcomes of 4244 critically ill adults with COVID-19: a prospective cohort study. Intensive Care Med 2021; 47(1): 60–73. [DOI] [PMC free article] [PubMed]
  • 33.Piroth L, Cottenet J, Mariet AS, Bonniaud P, Blot M, Tubert-Bitter P, Quantin C. Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study. Lancet Respir Med. 2021;9(3):251–259. doi: 10.1016/S2213-2600(20)30527-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Vandenbroucke JP, von Elm E, Altman DG, Gotzsche PC, Mulrow CD, Pocock SJ, Poole C, Schlesselman JJ, Egger M, Initiative S. Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration. Int J Surg. 2014;12(12):1500–1524. doi: 10.1016/j.ijsu.2014.07.014. [DOI] [PubMed] [Google Scholar]
  • 35.Ashbaugh AR, Houle-Johnson S, Herbert C, El-Hage W, Brunet A. Psychometric validation of the english and french versions of the posttraumatic stress disorder checklist for DSM-5 (PCL-5) PLoS ONE. 2016;11(10):e0161645. doi: 10.1371/journal.pone.0161645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Diagnostic and statistical manual of mental disorders, 5th edn: American Psychiatric Association; 2013.
  • 37.Gray MJ, Litz BT, Hsu JL, Lombardo TW. Psychometric properties of the life events checklist. Assessment. 2004;11(4):330–341. doi: 10.1177/1073191104269954. [DOI] [PubMed] [Google Scholar]
  • 38.Liu H, Petukhova MV, Sampson NA, Aguilar-Gaxiola S, Alonso J, Andrade LH, Bromet EJ, de Girolamo G, Haro JM, Hinkov H, et al. Association of DSM-IV posttraumatic stress disorder with traumatic experience type and history in the world health organization world mental health surveys. JAMA Psychiat. 2017;74(3):270–281. doi: 10.1001/jamapsychiatry.2016.3783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Contractor AA, Weiss NH, Natesan P, Elhai JD. Clusters of trauma types as measured by the life events checklist for DSM-5. Int J Stress Manag. 2020;27(4):380–393. doi: 10.1037/str0000179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Bernstein DP, Fink L, Handelsman L, Foote J, Lovejoy M, Wenzel K, Sapareto E, Ruggiero J. Initial reliability and validity of a new retrospective measure of child abuse and neglect. Am J Psychiatry. 1994;151(8):1132–1136. doi: 10.1176/ajp.151.8.1132. [DOI] [PubMed] [Google Scholar]
  • 41.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]
  • 42.Bjelland I, Dahl AA, Haug TT, Neckelmann D. 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]
  • 43.Bovin MJ, Marx BP, Weathers FW, Gallagher MW, Rodriguez P, Schnurr PP, Keane TM. Psychometric properties of the PTSD Checklist for diagnostic and statistical manual of mental disorders-fifth edition (PCL-5) in veterans. Psychol Assess. 2016;28(11):1379–1391. doi: 10.1037/pas0000254. [DOI] [PubMed] [Google Scholar]
  • 44.The PTSD checklist for DSM-5 (PCL-5). [https://www.ptsd.va.gov/professional/assessment/adult-sr/ptsd-checklist.asp].
  • 45.Hatch R, Young D, Barber V, Griffiths J, Harrison DA, Watkinson P. Anxiety, depression and post traumatic stress disorder after critical illness: a UK-wide prospective cohort study. Crit Care. 2018;22(1):310. doi: 10.1186/s13054-018-2223-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Davydow DS, Gifford JM, Desai SV, Needham DM, Bienvenu OJ. 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]
  • 47.Serra R, Borrazzo C, Vassalini P, Di Nicolantonio C, Koukopoulos AE, Tosato C, Cherubini F, Alessandri F, Ceccarelli G, Mastroianni CM, et al. Post-traumatic stress disorder trajectories the year after COVID-19 hospitalization. Int J Environ Res Public Health. 2022;19(14):8452. doi: 10.3390/ijerph19148452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Umberger R. What is the best core measure after critical illness when the IES-R is no longer accessible for new researchers? Crit Care. 2019;23(1):313. doi: 10.1186/s13054-019-2595-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Weathers FW, Bovin MJ, Lee DJ, Sloan DM, Schnurr PP, Kaloupek DG, Keane TM, Marx BP. The clinician-administered PTSD scale for DSM-5 (CAPS-5): development and initial psychometric evaluation in military veterans. Psychol Assess. 2018;30(3):383–395. doi: 10.1037/pas0000486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Wade DM, Brewin CR, Howell DC, White E, Mythen MG, Weinman JA. Intrusive memories of hallucinations and delusions in traumatized intensive care patients: an interview study. Br J Health Psychol. 2015;20(3):613–631. doi: 10.1111/bjhp.12109. [DOI] [PubMed] [Google Scholar]
  • 51.Franks ZM, Alcock JA, Lam T, Haines KJ, Arora N, Ramanan M. Physical restraints and post-traumatic stress disorder in survivors of critical illness. A systematic review and meta-analysis. Ann Am Thorac Soc. 2021;18(4):689–697. doi: 10.1513/AnnalsATS.202006-738OC. [DOI] [PubMed] [Google Scholar]
  • 52.Florido A, Velasco ER, Monari S, Cano M, Cardoner N, Sandi C, Andero R, Perez-Caballero L. Glucocorticoid-based pharmacotherapies preventing PTSD. Neuropharmacology. 2023;224:109344. doi: 10.1016/j.neuropharm.2022.109344. [DOI] [PubMed] [Google Scholar]
  • 53.Kalfon P, Alessandrini M, Boucekine M, Renoult S, Geantot MA, Deparis-Dusautois S, Berric A, Collange O, Floccard B, Mimoz O, et al. Tailored multicomponent program for discomfort reduction in critically ill patients may decrease post-traumatic stress disorder in general ICU survivors at 1 year. Intensive Care Med. 2019;45(2):223–235. doi: 10.1007/s00134-018-05511-y. [DOI] [PubMed] [Google Scholar]
  • 54.Axinn WG, Chardoul S. Improving reports of health risks: life history calendars and measurement of potentially traumatic experiences. Int J Methods Psychiatr Res. 2021;30(1):e1853. doi: 10.1002/mpr.1853. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding author in response to reasonable requests.


Articles from Critical Care are provided here courtesy of BMC

RESOURCES