Li-Jun Li1,2,3,4, Xiao-Mei Yao5, Bo-Yuan Guan1,2,3,4, Qi Chen1,2,3,4, Ning Zhang1,2,3,4, Chun-Xue Wang1,2,3,4,6. 1. Department of Neuropsychiatry, Behavioral Neurology and Clinical Psychology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China. 2. China National Clinical Research Centre for Neurological Diseases, Beijing 100070, China. 3. Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China. 4. Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China. 5. Department of Health Research Methods Evidence and Impact, McMaster University, Hamilton, Ontario L9K 1R9, Canada. 6. Department of Psychology, Capital Medical University, Beijing 100069, China.
Abstract
BACKGROUND: Whether the time course of post-stroke depression (PSD) can be used to predict the quality of life (QoL) of patients with late-stage stroke remains unclear, this study investigated whether persistent depression at 1 year after stroke predicts QoL at 5 years following stroke. METHODS: We analyzed the demographic and clinical data of patients with stroke in 56 hospitals across China that participated in the Prospective Cohort Study on the Incidence and Outcome of Patients with PSD in China Study. Follow-up assessments were performed at the following time points after stroke: in person, 2 weeks, 3 months, 6 months, and 1 year; by telephone, 5 years. National Institutes of Health Stroke Scale (NIHSS) score on admission, recurrence, disability, depression, QoL, and chronic complications were recorded. Depression was diagnosed using the Diagnostic and Statistical Manual of Mental Disorders. QoL was measured using short form-12 (SF-12). Multivariable ordinal logistic regression analysis was used to identify factors that independently affected the physical component summary (PCS) and mental component summary (MCS) scores of the SF-12. RESULTS: Of the 801 patients evaluated in this study, 80 had persistent depression. The multivariable regression analysis of data obtained at 5 years showed that persistent depression at 1 year (odds ratio [OR]: 0.48; 95% confidence interval [CI]: 0.29-0.81) and disability at 5 years (OR: 0.34; 95% CI: 0.23-0.49) were associated with poor MCS scores at 5 years. Old age, a high NIHSS score on admission, disability at 5 years, and stroke recurrence within 5 years were associated with poor PCS scores at the 5-year follow-up. CONCLUSIONS: Persistent depression at the 1-year follow-up could predict poor MCS scores at the 5-year follow-up. The development of interventional strategies targeting post-stroke patients with persistent depression is warranted.
BACKGROUND: Whether the time course of post-stroke depression (PSD) can be used to predict the quality of life (QoL) of patients with late-stage stroke remains unclear, this study investigated whether persistent depression at 1 year after stroke predicts QoL at 5 years following stroke. METHODS: We analyzed the demographic and clinical data of patients with stroke in 56 hospitals across China that participated in the Prospective Cohort Study on the Incidence and Outcome of Patients with PSD in China Study. Follow-up assessments were performed at the following time points after stroke: in person, 2 weeks, 3 months, 6 months, and 1 year; by telephone, 5 years. National Institutes of Health Stroke Scale (NIHSS) score on admission, recurrence, disability, depression, QoL, and chronic complications were recorded. Depression was diagnosed using the Diagnostic and Statistical Manual of Mental Disorders. QoL was measured using short form-12 (SF-12). Multivariable ordinal logistic regression analysis was used to identify factors that independently affected the physical component summary (PCS) and mental component summary (MCS) scores of the SF-12. RESULTS: Of the 801 patients evaluated in this study, 80 had persistent depression. The multivariable regression analysis of data obtained at 5 years showed that persistent depression at 1 year (odds ratio [OR]: 0.48; 95% confidence interval [CI]: 0.29-0.81) and disability at 5 years (OR: 0.34; 95% CI: 0.23-0.49) were associated with poor MCS scores at 5 years. Old age, a high NIHSS score on admission, disability at 5 years, and stroke recurrence within 5 years were associated with poor PCS scores at the 5-year follow-up. CONCLUSIONS: Persistent depression at the 1-year follow-up could predict poor MCS scores at the 5-year follow-up. The development of interventional strategies targeting post-strokepatients with persistent depression is warranted.
Although the fatality rates in the acute phase of stroke have decreased owing to significant therapeutic advances,[ stroke remains a leading health problem worldwide.[ Moreover, maintaining or improving the quality of life (QoL) of stroke survivors in the chronic stage of the disease is becoming an increasingly important research area.Various factors, such as age, sex, comorbidities, stroke severity, anxiety, and depression, have been identified as determinants of QoL in patients with chronic stroke.[ In particular, some studies have indicated that depression is a major independent variable of the QoL of stroke survivors,[ and several cross-sectional studies have shown that depression correlates with a low QoL at any time after stroke.[ However, research on the longitudinal impact of depression on the QoL of strokepatients is rare.Post-stroke depression (PSD) is a well-documented sequel of stroke,[ and some authors have suggested that it exacerbates the severity of other stroke-induced disabilities.[ However, only a few studies have focused on the time course of PSD; the limited amount of research on the topic has indicated the PSD can be transient, lasting only a few months, or maybe chronic.[ Moreover, it remains unknown whether the time course of PSD can be used to predict patients’ QoL in the late stage of stroke. Thus, in the present report, we used data collected by a national, longitudinal study of a post-stroke cohort to determine whether the presence of PSD at 1 year following stroke predicts a poor QoL at 5 years after stroke.
Methods
Ethical approval
The study was approved by the medical ethics committee of Beijing Tian Tan Hospital, Capital Medical University. The study complied with the Declaration of Helsinki and its later amendments. Patients provided written informed consent and agreed to undergo follow-up at all scheduled times.
Participants
The data used in this 5-year follow-up study of strokepatients were collected from the Prospective Cohort Study on the Incidence and Outcome of Patients with PSD in China (PRIOD, project No. ISRCTN62169508: a large-scale, multi-center study with 56 participating hospitals nationwide).[ Patients with stroke were recruited in the PRIOD study between April 2008 and April 2010 and were followed up in person four times following the stroke: 2 weeks, 3 months, 6 months, and 1 year (day 14 ± 2, day 84 ± 2, day 182 ± 2, day 360 ± 7, respectively). In addition, the patients were followed up by telephone at 5 years after stroke.The following inclusion criteria were used to select patients eligible for inclusion in the present study: age >18 years, diagnosis of stroke informed by computed tomography or magnetic resonance imaging obtained within 14 days, and consistency between clinical presentations and the World Health Organization criteria for stroke.[ Patients were excluded if they had dementia, obvious aphasia that could impede psychological assessments, other known neurological diseases that could affect cognitive function, psychiatric diagnosis, difficulty in communication, or death within the 5 years of follow-up.
Demographic and clinical variables
Demographic data (eg, age, sex, living condition [alone vs. with family], education, marital status, and personal characteristics), medical history, past psychiatric diagnoses, vascular risk factors (eg, history of hypertension, diabetes, or smoking), and clinical characteristics (eg, type of stroke, National Institutes of Health Stroke Scale [NIHSS] score at admission) were collected at the time of enrollment.At the 5-year follow-up, data on stroke recurrence, disability, depression, QoL, and chronic complications (eg, hypertension, hyperlipidemia, diabetes, and coronary heart disease) were collected.
Measurements and evaluations
The clinical physiologists responsible for the follow-up of the patients at each center received systematic training in the use of the clinical assessment tools and application of the diagnostic criteria. The diagnosis of depression was based on the Diagnostic and Statistical Manual of Mental Disorders (fourth edition).[The Composite International Diagnostic Interview was used to diagnose depression at day 14 ± 2.[ The MINI International Neuropsychiatric Interview was used to diagnose depression at the 5-year follow-up.[ The Hamilton Rating Scale for Depression-17 (17 items) was used to assess the severity of depression symptoms at 2 weeks, 3 and 6 months, and 1 year post-stroke.[ Symptoms of depression at the 5-year follow-up were assessed using the patient health questionnaire-9.[ Cognitive status was assessed using the mini-mental state examination (MMSE) at 3 months after stroke.[ Patients with an MMSE score of <18 were considered to have serious cognitive impairment and were thus excluded from the study.[ Disability was assessed using the modified Rankin score (mRS) at the 5-year follow-up and was defined as an mRS score ≥2.[QoL was determined using the medical outcomes short form (SF)-12 (version 2) at the 5-year follow-up.[ Derived from the SF-36, the SF-12 consists of eight domains and 12 items, which are grouped into two summary measures: the physical component summary (PCS) and the mental component summary (MCS). The SF-12 is scored on a scale of 0 to 100, where higher scores indicate better QoL.
Diagnosis and time course of PSD
Persistent depression was defined as the presentation of depression at each follow-up examination: 2 weeks, 3 months, 6 months, and 1 year. Transient depression was defined as confirmation of depression at one to three consecutive follow-up visits without any subsequent recurrence of depressive symptoms. Recurrent depression was defined as the reappearance of depressive symptoms after the documented recovery from a previous episode of depression.[ Transient and recurrent depression was considered non-persistent forms of depression.
Statistical analysis
Statistical analyses were conducted using the Statistical Product and Service Solutions v24.0 (SPSS Inc., IBM Company, Chicago, IL, USA). Continuous data were expressed as median (interquartile range) or mean ± standard deviation. When comparing characteristics between the included patients and those who were lost to follow up, the categorical variables were analyzed with the chi-square test; the continuous variables, such as age, were analyzed with the independent t-test, and NIHSS scores were analyzed with the Mann-Whitney U test. In the multiple comparisons, the continuous variables, such as age, were analyzed with a one-way analysis of variance while the NIHSS, PCS, and MCS scores were analyzed with the Kruskal-Wallis test; the categorical variables, such as sex and level of education, were analyzed with the chi-square test. The association between persistent depression and QoL at the 5-year follow-up was analyzed using a multiple ordinal regression analysis with the group of patients without depression used as the reference. The PCS and MCS scores of the SF-12 were converted into categorical variables expressed as quartiles, which were then inputted into the ordinal regression analyses as dependent variables. Selected for inclusion into the models based on evidence from previous research and a high likelihood of influencing the MCS and PCS scores,[ variables measured at admission were sequentially entered into the admission model as confounding variables, while those noted at the 5-year follow-up were entered into the 5-year follow-up model as confounding variables. For all analyses, a two-tailed probability value of P < 0.05 was considered to indicate statistical significance.
Results
Patient characteristics
Excluding the patients who were ineligible for enrolment and those who did not complete follow-up, the present analysis included the data of 801 strokepatients (mean age, 57.5 ± 10.5 years) [Figure 1]. Compared with the 801 patients included in the final analysis, the 265 patients without complete follow-up data were associated with lower levels of education (39.2% vs. 47.3%, P = 0.021) and rates of employment (46.2% vs. 55.7%, P = 0.007), smoking (44.9% vs. 52.1%, P = 0.041), and first-ever stroke (76.6% vs. 82.9%, P = 0.023) [Table 1]. The other variables did not significantly differ between the two groups.
Figure 1
Flow chart of participant selection.
Table 1
Characteristics of the study patients and those without complete follow-up data.
Flow chart of participant selection.Characteristics of the study patients and those without complete follow-up data.
Multiple comparisons of characteristics of patients with persistent depression, non-persistent depression, and patients without depression
At the 1-year follow-up, 330 of 801 strokepatients were diagnosed as having depression: 80 (24.3%) had persistent depression, 217 (65.7%) had transient depression, and 33 (10.0%) had recurrent depression.Compared with the other two groups, strokepatients with persistent depression were significantly older, more likely to be a woman and have a family history of stroke, had significantly higher NIHSS scores, were significantly less likely to have had an ischemic stroke, and had a significantly higher frequency of hypertension. At the 5-year follow-up, strokepatients with persistent depression had significantly higher disability rates and significantly lower PCS and MCS scores than patients without depression. No other significant differences were found among the three groups [Table 2].
Table 2
Multiple comparisons of the characteristics of patients according to the categories of PSD.
Multiple comparisons of the characteristics of patients according to the categories of PSD.However, we found no significant differences between patients with non-persistent depression and those with no depression with respect to proportion of women (29.6% vs. 28.7%, P = 0.792), rate of ischemic stroke (80.4% vs. 81.3%, P = 0.802), age (57.7 ± 10.1 vs. 56.7 ± 11.2, P = 0.248), NIHSS scores (3.5 [1.0–6.0] vs. 3.0 [1.0–5.0], P = 0.183), PCS scores (36.9 [23.9–52.6] vs. 40.3 [28.2–53.9], P = 0.111), and MCS scores (40.5 [25.6–48.4] vs. 41.7 [30.6–49.2], P = 0.063).
Risk factors associated with QoL
The risk factors associated with QoL assessed at the 5-year follow-up model are shown in Table 3. Even after adjusting for age, sex, marital status, education level, diagnosis, NIHSS score on admission, comorbidities, disability at 5 years, and stroke recurrence within 5 years, multivariable ordinal logistic regression revealed that persistent depression at the 1-year follow-up (odds ratio [OR]: 0.48; 95% confidence interval [CI]: 0.29–0.81) and disability at the 5-year follow-up (OR: 0.34; 95% CI: 0.23–0.49) were both independently associated with poor MCS scores at the 5-year follow-up. The variables associated with low PCS scores at the 5-year follow-up were as follows: age (OR: 0.97; 95% CI: 0.96–0.99), high NIHSS score at admission (OR: 0.94; 95% CI: 0.90–0.98), disability at the 5-year follow-up (OR: 0.19; 95% CI: 0.13–0.27), and stroke recurrence at the 5-year follow-up (OR: 0.53; 95% CI: 0.34–0.85).
Table 3
Risk factors associated with QoL among the patients included in the multivariable ordinal logistic regression.
Risk factors associated with QoL among the patients included in the multivariable ordinal logistic regression.
Discussion
This longitudinal study of a post-stroke cohort highlighted persistent depression as a predictor of poor QoL in strokepatients at 5 years following the stroke event regardless of stroke sub-type. However, we found that the adverse effects of persistent depression manifested as lower MCS scores and remained significant after adjustments for relevant covariates. Furthermore, this study also showed that old age, high NIHSS score on admission, stroke recurrence within 5 years, and disability at the 5-year follow-up could predict poor PCS scores at the 5-year follow-up. These results are consistent with those of previous studies.[Previous studies have observed that the baseline characteristics of patients with stroke are associated with the subsequent development of depression symptoms[: for example, female stroke survivors are reportedly more likely to be dead or dependent at 12 months following stroke onset,[ and high baseline NIHSS scores are associated with an increased risk of neurological and medical complications.[ Some authors have postulated that such characteristics at baseline might, therefore, predict poor outcomes of patients following stroke.To the best of our knowledge, this study is the first nationwide longitudinal multi-center prospective cohort study to study the effect of the time course of PSD on the QoL of stroke survivors. PSD is a long-term problem that can occur in the sub-acute and acute hospitalization phases as well as in later stages.[ While previous research has indicated a link between persistent depression and a high risk of poor prognosis and that recovery from depression after stroke might reduce the negative impact of the disease on QoL,[ only three longitudinal studies have thus far reported that depression in the acute and sub-acute phases independently predicts poor QoL among strokepatients. Of these investigations, two have reported that PSD was independently associated with poor QoL at 1 year,[ while one reported that PSD at 3 months could predict poor QoL at 5 years after stroke.[While some investigations have reported that most cases of PSD recover spontaneously within a few months without any treatment,[ others have reported that PSD might remain persistent in some cases.[ In the present study, 10.0% (80/801) of stroke survivors exhibited persistent depression, and this result is consistent with a previous study,[ which reported 9.2% of stroke survivors had persistent depression in the 1-year follow-up.In agreement with our study, a previous investigation found that psychiatric symptoms affected MCS scores, while neurological conditions influenced PCS scores[; specifically, the investigators found that persistent depression could predict low MCS scores but could not predict long-term PCS scores. However, several cross-sectional studies have reported that PSD adversely affects both the physical and psychological dimensions of QoL.[ This discrepancy in findings may indicate that patterns of MCS and PCS differ among various stroke conditions: for example, in cross-sectional studies, depression symptoms coexisted with neurological impairment, which may have impeded the rehabilitation of physical function in strokepatients; and while depression may limit gait recovery after stroke, poor physical health may negatively affect the mental dimensions of QoL in strokepatients.This study is subject to several limitations. First, due to the absence of certain assessment scales, patients with aphasia who were unable to complete the self-rating scales were excluded; reliably measuring depression in these patients was thought to have been overly challenging.[ Second, mood was continuously assessed only in the first year but not thereafter. Third, although we performed a comparison between the baseline characteristics of the included patients and those who did not complete the 5-year follow-up, and did not find significant difference, however, no comparison has been made between the baseline characteristics of the patients lost at 1-year follow-up and those of the included patients.In conclusion, this longitudinal study showed that persistent depression at the 1-year follow-up could independently predict poor MCS scores at the 5-year follow-up. Other variables, such as old age, NIHSS score at admission, and recurrence of PSD during the 5-year follow-up predicted poor PCS scores at the 5-year follow-up. Disability at the 5-year follow-up was associated with low MCS and PCS scores.
Funding
This work was supported by grants from the National Key Research & Development Program of China (No. 2016YFC1307200), Beijing Brain Research (No. Z161100000216131), and Beijing Municipal Science & Technology Commission (No. Z151100004015127).
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