| Literature DB >> 35103138 |
Behiye Deniz Kosovali1, Busra Tezcan1, Ismail Aytaç2, Tulay Tuncer Peker3, Ozlem B Soyal4, Nevzat Mehmet Mutlu1.
Abstract
Background and aim In the literature, there is no study on the anxiety and depression status of the relatives of intensive care COVID-19 and non-COVID-19 patients during the pandemic period. In this study, we aimed to compare the risk of developing anxiety and depression in the relatives of COVID-19 and non-COVID-19 intensive care patients during the pandemic, and also to determine the factors that may cause anxiety and depression. Materials and methods Relatives of patients admitted to Ankara City Hospital COVID-19 (n=45) and non-COVID-19 (n=45) intensive care units between 15 May and 31 July 2021 were included in this prospective study. The Hospital Anxiety and Depression Scale (HADS) questionnaire was administered to the relatives of the patients within the first 48 hours of their admission to the intensive care unit. The answers were recorded and HADS, HADS-A (anxiety) and HADS-D (depression) scores were calculated accordingly. Demographics, education and marital statuses of both the patients and their relatives were recorded. Logistic regression analysis was performed to determine the factors associated with depression and anxiety. Receiver operator characteristics (ROC) curves were drawn for the factors affecting depression and anxiety, and the area under the curve values were calculated. Results Demographics, APACHE II score, and patient affiliation were similar in both groups. The mean HADS scores of the relatives of COVID-19 and non-COVID-19 patients were 24.76 and 16.04 (p<0.001). The mean HADS-A scores were 12.89 and 7.78 (p<0.001), and the mean of HADS-D scores were 11.87 and 8.27 (p=0.001). Moderate and high-risk anxiety and depression were significantly higher in relatives of COVID-19 patients (p=0.018, p=0.001, respectively). The area under curve (AUC) values were 0.727 in the ROC curve plotted for the independent risk factor Q3 responses that reduced anxiety, and 0.791 and 0.785 in the ROC curve drawn for the independent risk factor Q1 and Q3 responses that reduced the development of depression. Conclusion We found that the anxiety and depression risk of the relatives of COVID-19 patients in the intensive care unit during the pandemic period is significantly higher than the relatives of non-COVID-19 patients in the intensive care unit. In addition, regardless of the diagnosis, younger intensive care patients may increase the anxiety and depression of the relatives of the patients during the pandemic. The higher-education level of the relatives of patients was determined as a factor reducing anxiety and depression.Entities:
Keywords: anxiety level; covid-19; depression; hospital anxiety depression scale (hads); intensive care unit; relative
Year: 2021 PMID: 35103138 PMCID: PMC8771297 DOI: 10.7759/cureus.20559
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Questions evaluating the cause of anxiety and depression
| Questions evaluating the cause of anxiety and depression |
| Question 1. How concerning is your patient’s hospitalization in the ICU due to an epidemic? |
| 0) Not at all 1) Sometimes 2) Very often 3) Most of the time |
| Question 2. How much are you concerned about getting sick from your patient? |
| 0) Not at all 1) Sometimes 2) Very often 3) Most of the time |
| Question 3. How concerning is it not being able to visit your patient in the ICU? |
| 0) Not at all 1) Sometimes 2) Very often 3) Most of the time |
| Question 4. How concerning is the way you receive information about your patient (over the phone)? |
| 0) Not at all 1) Sometimes 2) Very often 3) Most of the time |
| Question 5. How concerning is the frequency of getting information about your patient (3 times a week)? |
| 0) Not at all 1) Sometimes 2) Very often 3) Most of the time |
Demographic characteristics of patients and patients’ relatives
APACHE II Score: Acute Physiology And Chronic Health Evaluation Score
| Variables | COVID-19 Patients n=45 | Non-COVID- 19 Patients n=45 | p | COVID-19 Patients’ relatives n=45 | Non-COVID- 19 Patients’ relatives n=45 | p |
| Age (Mean±SD) | 66.96±12.7 | 68.91±18.5 | 0.560 | 42.73±12.4 | 48.6±12.2 | 0.026 |
| Female | 70.86±10.1 | 77.05±11.4 | 42.77±12.9 | 50.38±12.9 | ||
| Male | 63.33±13.9 | 61.79±20.6 | 42.7±12.1 | 47.04±11.6 | ||
| Female n(%) | 22 (48.9) | 21 (46.7) | 0.833 | 14 (31.1) | 21 (46.7) | 0.130 |
| Male n(%) | 23 (51.1) | 24 (53.3) | 31 (68.9) | 24 (53.3) | ||
| Marital status n(%) | 40 (88.9) | 23 (51.1) | 0.001 | 37 (82.2) | 38 (84.4) | 0.522 |
| Married | ||||||
| Single | 1 (2.2) | 6 (13.3) | 8 (17.8) | 6 (13.3) | ||
| Divorced | 0 | 1 (2.2) | 0 | 0 | ||
| Widow | 4 (8.9) | 15 (33.3) | 0 | 1 (2.2) | ||
| Education n(%) | 25 (55.6) | 32 (71.1) | 0.209 | 8 (17.8) | 13 (28.9) | 0.347 |
| Primary school | ||||||
| High school | 6 (13.3) | 7 (15.6) | 16 (35.6) | 11 (24.4) | ||
| University | 7 (15.6) | 2 (4.4) | 21 (46.7) | 21 (46.7) | ||
| Illiterate | 7 (15.6) | 4 (8.9) | 0 | 0 | ||
| Degree of Kinship n(%) Spouse | 5 (11.1) | 5 (11.1) | 0.548 | - | - | - |
| Child | 32 (71.1) | 25 (55.6) | ||||
| Relative | 5 (11.1) | 10 (22.2) | ||||
| Sibling | 2 (4.4) | 3 (6.7) | ||||
| Parent | 1 (2.2) | 2 (4.4) | ||||
| Profession n(%) | - | - | - | 22 (48.9) | 19 (42.2) | 0.603 |
| Private employee | ||||||
| Civil servant | 8 (17.8) | 10 (22.2) | ||||
| Retired | 4 (8.9) | 4 (8.9) | ||||
| Unemployed | 8 (17.8) | 5 (11.1) | ||||
| Student | 3 (6.7) | 7 (15.6) | ||||
| APACHE II Score (Mean±SD) | 16.56±7.1 | 19.13±7.6 | 0.099 | - | - | - |
Comparison of the COVID-19 and nonCOVID-19 patients relatives’ HADS survey results
HADS: Hospital anxiety and depression scale, HADS-A score: Hospital anxiety and depression scale-Anxiety score, HADS-D score: Hospital anxiety and depression scale-Depression score
| Variables | COVID-19 Patients’ relatives | Non-COVID-19 Patients’ relatives | p |
| HADS (Mean±SD) | 24.76±8.8 | 16.04±11.6 | <0.001 |
| HADS-A score (Mean±SD) | 12.89±4.9 | 7.78±6.1 | <0.001 |
| 0-10 n(%) | 15 (33.3) | 28 (62.2) | 0.018 |
| 11-15 n(%) | 16 (35.6) | 11 (24.4) | |
| 16-21 n(%) | 14 (31.1) | 6 (13.3) | |
| HADS-D score (Mean±SD) | 11.87±4.5 | 8.27±5.8 | 0.001 |
| 0-7 n(%) | 6 (13.3) | 22 (48.9) | 0.001 |
| 8-10 n(%) | 13 (28.9) | 8 (17.8) | |
| 11-21 n,(%) | 26 (57.8) | 15 (33.3) |
HADS, HADS-A and HADS-D according to level of kinship, age classification, education level
HADS-A score: Hospital anxiety depression scale-Anxiety score, HADS-D sore: Hospital anxiety depression scale-Depression score, HADS: Hospital anxiety depression scale (total score)
| Variables | HADS-A score | p | HADS-D score | p | HADS | p | |||
| COVID-19 Patients | Non-COVID- 19 Patients | COVID-19 Patients | Non-COVID -19 Patients | COVID-19 Patients | Non-COVID -19 Patients | ||||
| Spouse | 15.6±6.1 | 8.8±7.4 | 0.151 | 14.4±7.2 | 8.6±5.7 | 0.195 | 30±13.2 | 17.4±13.1 | 0.167 |
| Child | 12.19±4.8 | 7±6.1 | 0.001 | 11.03±3.9 | 7.44±5.8 | 0.011 | 23.22±7.7 | 14.44±11.6 | 0.002 |
| Relative | 15.4±5.1 | 6.5±5.5 | 0.010 | 14.6±5.4 | 7±5.3 | 0.022 | 30±10.2 | 13.5±10.4 | 0.012 |
| Sibling | 10±1.4 | 10.67±2.3 | 0.746 | 11±2.8 | 12.67±2.1 | 0.495 | 21±4.2 | 23.33±4.1 | 0.578 |
| Parents | 15 | 17±2.8 | 0.667 | 14 | 17.5±0.7 | 0.154 | 29 | 34.5±2.1 | 0.281 |
| 18-65 age | 12.83±4.5 | 11.82±5.2 | 0.566 | 11.13±4.3 | 12.18±4.8 | 0.527 | 23.96±8.1 | 24±9.6 | 0.989 |
| 66-80 age | 14±5.5 | 8.21±6.5 | 0.014 | 14±4.9 | 8.58±6 | 0.011 | 28±9.8 | 16.79±12.2 | 0.010 |
| 81-99 age | 11.44±5.1 | 4.27±4.1 | 0.001 | 10.67±3.8 | 5±4.3 | 0.003 | 22.11±8.7 | 9.27±8.2 | 0.001 |
| Primary school | 13.38±6.5 | 6.62±7.2 | 0.043 | 12.38±5.5 | 7.23±6.6 | 0.082 | 25.75±11.9 | 13.85±13.7 | 0.057 |
| High school | 13.06±3.4 | 8.36±5.7 | 0.012 | 12.5±4 | 9±5.6 | 0.068 | 25.56±6.7 | 17.36±10.8 | 0.022 |
| University | 12.57±5.4 | 8.19±5.8 | 0.016 | 11.19±4.7 | 8.52±5.5 | 0.098 | 23.76±9.2 | 16.71±11 | 0.030 |
Multivariate logistic regression analysis for anxiety
SE: Standart Error, Q1: Question 1, Q2: Question 2, Q3: Question 3, Q4: Question 4, Q5: Question 5
| Variable | B (Coefficient) | SE | Confidence Interval | Odds Ratio | p |
| Constant | -0.419 | 1.350 | 0.657 | 0.756 | |
| Patient age | 0.058 | 0.020 | 1.019-1.103 | 1.060 | 0.004 |
| Q1 | -0.682 | 0.360 | 0.250-1.024 | 0.506 | 0.058 |
| Q2 | -0.103 | 0.285 | 0.516-1.577 | 0.902 | 0.717 |
| Q3 | -0.751 | 0.395 | 0.218-1.023 | 0.472 | 0.024 |
| Q4 | 0.110 | 0.345 | 0.568-2.193 | 1.116 | 0.750 |
| Q5 | -0.190 | 0.361 | 0.408-1.677 | 0.827 | 0.599 |
| Education level of the patient's relative | -1.771 | 0.748 | 0.039-0.736 | 0.170 | 0.018 |
| R2: 0.426 (Cox-Snell), R2: 0.599 (Nagelkerke) | |||||
Multivariate logistic regression analysis for depression
SE: Standart Error, Q1: Question 1, Q2: Question 2, Q3: Question 3, Q4: Question 4, Q5: Question 5
| Variable | B (Coefficient) | SE | Confidence Interval | Odds Ratio | p |
| Constant | -2.943 | 1.946 | 0.053 | 0.130 | |
| Patient age | 0.80 | 0.027 | 1.027-1.143 | 1.084 | 0.003 |
| Q1 | -1.045 | 0.454 | 0.144-0.857 | 0.352 | 0.021 |
| Q2 | -0.012 | 0.392 | 0.458-2.132 | 0.988 | 0.975 |
| Q3 | -0.978 | 0.432 | 0.161-0.877 | 0.486 | 0.024 |
| Q4 | 0.137 | 0.474 | 0.453-2.904 | 1.147 | 0.772 |
| Q5 | 0.205 | 0.498 | 0.463-3.257 | 1.228 | 0.680 |
| Education level of the patient's relative | -1.756 | 0,865 | 0.032-0.940 | 0.173 | 0.042 |
| R2: 0.361 (Cox-Snell), R2: 0.481 (Nagelkerke) | |||||
Figure 1ROC curve for the model predicting anxiety
Q3: Question 3, AUC: area under the curve, ROC: reciever operator characteristics
Figure 2ROC curve for the model predicting depression (Q1)
Q1: Question 1, AUC: area under the curve, ROC: reciever operator characteristics
Figure 3ROC curve for the model predicting depression (Q3)
Q3: Question 3, AUC: area under the curve, ROC: reciever operator characteristics