| Literature DB >> 35664473 |
Honghong Lv1, Junping Meng1, Yang Chen1, Feng Yang1, Wen Wang1, Guohua Wei1, Jiaojiao Zhang1, Huan Wang1, Mengqiu Wang1, Lu Zhou1, Hongbao Liu1.
Abstract
Recent studies have shown that coronavirus disease 2019 (COVID-19) aggravates anxiety in patients with maintenance hemodialysis (MHD), but it is still unclear how long this adverse effect will last. This study aims to investigate the impact of COVID-19 on the elevated anxiety symptoms of MHD patients 1 year after the outbreak. Assessment of elevated anxiety symptoms was performed on patients with MHD during early COVID-19 (February 17-February 29, 2020) and 1-year follow-up (March 1-March 13, 2021), and a total of 100 patients had completed face-to-face questionnaires at the first and 1-year follow-up. At the beginning of the outbreak, 40% of the patients with MHD had anxiety symptoms [self-rating anxiety scale (SAS) score ≥ 50], and 11% (SAS score: 60-69) and 2% (SAS score ≥ 70) of the patients had moderate and severe anxiety symptoms, respectively. Multivariate analysis shows that possibility of unaccompanied transfer, possibility of family members or themselves being infected in a hospital, added body temperature monitoring during dialysis, and increased medical procedures are the risk factors in elevated anxiety symptoms during early COVID-19. At the 1-year follow-up, the incidence of anxiety symptoms in the same group of patients declined to 28%, and all the patients had mild anxiety symptoms (SAS score: 50-59), which is significantly lower than that of the early COVID-19 pandemic with statistically significant difference (p = 0.003). Increased protective measures taken by the medical staves were the only risk factor in elevated anxiety symptoms during the 1-year follow-up. This study shows that COVID-19 has a direct impact on the deterioration of anxiety symptoms in patients with MHD. With the changes of the requirements for COVID-19 prevention and control, as well as the enhancement of propaganda and education of the pandemic and psychological care, the severity and risk factors of anxiety symptoms in the patients with MHD are changing. Thus, targeted interventions are suggested to improve the psychological endurance of the patients with MHD.Entities:
Keywords: COVID-19; anxiety; dialysis; kidney; risk factors
Year: 2022 PMID: 35664473 PMCID: PMC9160521 DOI: 10.3389/fpsyt.2022.864727
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Figure 1A flow diagram of study design.
Anxiety status of hemodialysis patients in different periods of the pandemic.
|
|
|
|
|
|
|---|---|---|---|---|
| SAS score (mean ± SD) | 47.81 ± 9.57 | 45.23 ± 6.30 | 2.252 | 0.026 |
| <50, | 60 (60 %) | 72 (72 %) | 14.109 | 0.003 |
| 50~59, | 27 (27 %) | 28 (28 %) | ||
| 60~69, | 11 (11 %) | 0 (0 %) | ||
| ≥70, | 2 (2 %) | 0 (0 %) |
Demographic characteristics of hemodialysis patients with and without elevated anxiety symptoms during the early COVID-19 pandemic and at 1-year follow-up (n = 100).
|
|
| |||||
|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
| 26 (43.3%) | 19 (47.5%) | 0.682 | 34 (47.2%) | 11 (39.3%) | 0.474 | |
| 0.347 | 0.289 | |||||
| <45 | 16 (26.7%) | 6 (15%) | 13 (18.1%) | 8 (28.6%) | ||
| 45–59 | 23 (38.3%) | 16 (40%) | 27 (37.5%) | 12 (42.9%) | ||
| ≥60 | 21 (35%) | 18 (45%) | 32 (44.4%) | 8 (28.6%) | ||
| 0.040 | 0.428 | |||||
| Primary or less | 14 (23.3%) | 18 (45%) | 21 (29.2%) | 11 (39.3%) | ||
| Junior or senior | 29 (48.3%) | 17 (42.5%) | 36 (50.0%) | 10 (35.7%) | ||
| University degree or above | 17 (28.3%) | 5 (12.5%) | 15 (20.8%) | 7 (25.0%) | ||
| 0.638 | 0.505 | |||||
| Employment | 17 (28.3%) | 8 (20%) | 17 (23.6%) | 8 (28.6%) | ||
| Retired | 26 (43.3%) | 19 (47.5%) | 35 (48.6%) | 10 (35.7%) | ||
| Unemployment or others | 17 (28.3%) | 13 (32.5%) | 20 (27.8%) | 10 (35.7%) | ||
| 0.681 | 0.116 | |||||
| ≤3,000 | 16 (26.7%) | 15 (37.5%) | 25 (34.7%) | 6 (21.4%) | ||
| 3,001–5,000 | 19 (31.7%) | 12 (30%) | 22 (30.6%) | 9 (32.1%) | ||
| 5,001–10,000 | 20 (33.3%) | 10 (25%) | 22 (30.6%) | 8 (28.6%) | ||
| >10,000 | 5 (8.3%) | 3 (7.5%) | 3 (4.2%) | 5 (17.9%) | ||
| 0.550 | 0.276 | |||||
| 3 −36 | 25 (41.7%) | 16 (40.0%) | 19 (26.4%) | 4 (14.3%) | ||
| 37–72 | 20 (33.3%) | 17 (42.5%) | 27 (37.5%) | 15 (53.6%) | ||
| 73–108 | 8 (13.3%) | 2 (5.0%) | 14 (19.4%) | 7 (25.0%) | ||
| 109 months or more | 7 (11.7%) | 5 (12.5%) | 12 (16.7%) | 2 (7.1%) | ||
| 0.406 | 0.319 | |||||
| 6% Self-pay (Employee) | 40 (66.7%) | 22 (55%) | 46 (63.9%) | 16 (57.1%) | ||
| 40% Self-pay (Resident) | 18 (30%) | 15 (37.5%) | 24 (33.3%) | 9 (32.1%) | ||
| 100% Self-pay | 2 (3.3%) | 3 (7.5%) | 2 (2.8%) | 3 (10.7%) | ||
| 0.418 | 0.222 | |||||
| Primary glomerulonephritis | 28 (46.7%) | 15 (37.5%) | 35 (48.6%) | 8 (28.6%) | ||
| Diabetes | 15 (25.0%) | 13 (32.5%) | 18 (25.0%) | 10 (35.7%) | ||
| Hypertension | 10 (16.7%) | 10 (25.0%) | 12 (16.7%) | 8 (28.6%) | ||
| Others | 7 (11.7%) | 2 (5.0%) | 7 (9.7%) | 2 (7.1%) | ||
SAS, self-rating anxiety scale; CNY, Chinese Yuan; ESRD, end-stage renal disease.
Univariate linear regression analysis of factors predictive of elevated anxiety symptoms during the early COVID-19 pandemic.
|
|
|
|
| ||
|---|---|---|---|---|---|
| Gender (Male/Female) | 2.244 | 1.920 | 1.169 | 0.245 | −1.566; 6.055 |
| Age (years) | 1.312 | 1.255 | 1.045 | 0.298 | −1.179; 3.802 |
| Education | −2.904 | 1.288 | −2.254 | 0.026 | −5.461; −0.347 |
| Occupation | 1.223 | 1.294 | 0.945 | 0.347 | −1.346; 3.791 |
| Monthly income (CNY) | −0.729 | 1.007 | −0.724 | 0.471 | −2.728; 1.270 |
| Duration of hemodialysis (months) | −0.511 | 0.968 | −0.528 | 0.599 | −2.432; 1.410 |
| Medical insurance | 1.321 | 1.581 | 0.835 | 0.405 | −1.817; 4.459 |
| Possibility of unaccompanied transfer | 2.526 | 0.624 | 4.050 | 0.000 | 1.288;3.764 |
| Being in a designated hospital for COVID-19 treatment | 1.984 | 0.627 | 3.165 | 0.002 | 0.740; 3.227 |
| Travel difficulties | 1.985 | 0.791 | 2.510 | 0.014 | 0.416; 3.555 |
| Increased protective measures taken by the medical staves | 1.663 | 0.689 | 2.415 | 0.018 | 0.297;3.030 |
| Increased medical procedures | 1.943 | 0.730 | 2.662 | 0.009 | 0.495;3.392 |
| Decreased communication between patients-patients /patients- family members of patients | 1.468 | 1.495 | 0.982 | 0.328 | −1.499;4.436 |
| Possibility of family members or themselves being infected in the hospital | 1.853 | 0.624 | 2.970 | 0.004 | 0.615; 3.090 |
| Added body temperature monitor during dialysis | 1.865 | 0.705 | 2.645 | 0.010 | 0.466; 3.264 |
| Possibility of emergency dialysis | 1.358 | 0.659 | 2.061 | 0.042 | 0.050; 2.666 |
| Desire to reduce the frequency of dialysis | 0.588 | 0.750 | 0.784 | 0.435 | −0.900; 2.075 |
B, coefficient; S.E., standard error of estimated coefficient; C.I., confidence interval.
Multiple linear regression analysis of factors independently predictive of elevated anxiety symptoms during the early COVID-19 pandemic.
|
|
|
|
| ||
|---|---|---|---|---|---|
| Possibility of unaccompanied transfer | 1.778 | 0.622 | 2.858 | 0.005 | 0.543; 3.014 |
| Possibility of family members or themselves being infected in the hospital | 1.356 | 0.582 | 2.330 | 0.022 | 0.200; 2.511 |
| Added body temperature monitor during dialysis | 1.509 | 0.646 | 2.335 | 0.022 | 0.226; 2.792 |
| Increased medical procedures | 1.508 | 0.686 | 2.197 | 0.030 | 0.145; 2.871 |
B, coefficient; S.E., standard error of estimated coefficient; C.I., confidence interval. R.
Univariate linear regression analysis of factors predictive of elevated anxiety symptoms at 1-year follow-up.
|
|
|
|
| ||
|---|---|---|---|---|---|
| Gender (Male/Female) | 0.107 | 1.272 | 0.084 | 0.933 | −2.418; 2.632 |
| Age (years) | −0.285 | 0.835 | −0.342 | 0.733 | −1.943; 1.372 |
| Education | 0.477 | 0.868 | 0.550 | 0.584 | −1.246; 2.200 |
| Occupation | −0.332 | 0.855 | −0.388 | 0.699 | −2.028; 1.365 |
| Monthly income (CNY) | 1.295 | 0.652 | 1.988 | 0.050 | 0.002; 2.588 |
| Duration of hemodialysis (months) | 0.397 | 0.654 | 0.607 | 0.545 | −0.902; 1.696 |
| Medical insurance | 1.046 | 1.072 | 0.976 | 0.332 | −1.082; 3.175 |
| Possibility of unaccompanied transfer | 1.029 | 0.647 | 1.591 | 0.115 | −0.254; 2.313 |
| Being in a designated hospital for COVID-19 treatment | 0.519 | 0.689 | 0.753 | 0.453 | −0.849; 1.886 |
| Travel difficulties | 0.585 | 0.650 | 0.901 | 0.370 | −0.704; 1.875 |
| Increased protective measures taken by the medical staves | 1.663 | 0.758 | 2.194 | 0.031 | 0.159; 3.167 |
| Increased medical procedures | 0.333 | 0.624 | 0.534 | 0.595 | −0.905; 1.572 |
| Decreased communication between patients-patients /patients- family members | 0.667 | 0.677 | 0.985 | 0.327 | −0.676; 2.011 |
| Possibility of family members or themselves being infected in the hospital | 0.242 | 0.576 | 0.421 | 0.675 | −0.900; 1.384 |
| Added body temperature monitoring during dialysis | 0.407 | 0.636 | 0.640 | 0.524 | −0.855; 1.668 |
| Possibility of emergency dialysis | 0.600 | 0.562 | 1.068 | 0.288 | −0.514; 1.714 |
| Desire to reduce the frequency of dialysis | −0.259 | 0.582 | −0.445 | 0.658 | −1.413; 0.896 |
B, coefficient; S.E., standard error of estimated coefficient; C.I., confidence interval.