| Literature DB >> 33546066 |
Siming Jia1, Chengbai Li2, Zhuqing Lei1, Qiang Xia2, Yuqing Jiang1.
Abstract
ABSTRACT: Phaeochromocytomas are catecholamine-producing neuroendocrine tumors that may manifest in many ways, specifically as sustained or paroxysmal hypertension. Data, including data from mental status screening, were prospectively collected from suspected patients. The Hospital Anxiety and Depression Scale was used as a screening tool to identify abnormal mental status. Results showed phaeochromocytoma patients were more likely to experience anxiety and depression. For future phaeochromocytoma treatment, early screening for anxiety and depression should be recommended.Entities:
Mesh:
Year: 2021 PMID: 33546066 PMCID: PMC7837965 DOI: 10.1097/MD.0000000000024335
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Figure 1Typical computed tomography imaging of phaeochromocytoma.
Figure 2Typical histopathology of phaeochromocytoma.
Figure 3Selection of patient data for the analysis.
Demographic and clinical characteristics of study sample.
| Phaeochromocytoma group (N = 194) | Control group (N = 156) | ||
| Age, yr | 47.5 ± 7.7 | 48.5 ± 5.9 | .075 |
| Gender, n (%) | |||
| Female | 109 (56.2) | 97 (62.2) | |
| Male | 85 (43.8) | 59 (37.8) | .256 |
| Marital status, n (%) | |||
| Married | 133 (68.6) | 102 (65.4) | |
| Single | 1 (0.5) | 0 | |
| Divorced | 39 (20.1) | 29 (18.6) | |
| Widowed | 21 (10.8) | 25 (16.0) | .421 |
| Education, n (%) | |||
| University | 76 (39,2) | 80 (51.3) | |
| Primary and middle | 93 (47.9) | 56 (35.9) | |
| Illiterate | 25 (12.9) | 20 (12.8) | .055 |
| Job status, n (%) | |||
| Unemployed (%) | 24 (12.4) | 30 (19/2) | |
| Employed | 170 (87.6) | 1126 (80.8) | .077 |
| Socioeconomic status, n (%) | |||
| High | 31 (16.0) | 29 (18.6) | |
| Medium | 88 (45.4) | 70 (44.9) | |
| Low | 75 (38.6) | 57 (36.5) | .798 |
| Tobacco use, n (%) | 12 (6.1) | 9 (5.8) | .817 |
| Alcohol limit, n (%) | 15 (7.7) | 13 (8.3) | .837 |
| Dysarteriotony, n (%) | 130 (67.0) | 42 (26.9) | .000∗ |
| Diabetes mellitus, n (%) | 101 (52.1) | 26 (16.7) | .000∗ |
| Cardiovascular events, n (%) | 24 (12.4) | 0 | .000∗ |
| Neurological complications, n (%) | 152 (78.4) | 0 | .000∗ |
| Duration of symptoms, mo | 14.5 ± 8.2 | NA | |
Demographic and clinical factors association with depression and anxiety.
| Depression | Anxiety | ||||||
| N | Present(n = 63) | Absent(n = 131) | Present(n = 52) | Absent(n = 142) | |||
| Demographic characteristics | |||||||
| Age, n (%) | |||||||
| >50 years old | 31 | 13 (20.6) | 18 (13.7) | 10 (19.2) | 21 (14.8) | ||
| ≦50 years old | 163 | 50 (79.4) | 113 (86.3) | .220 | 42 (80.8) | 121 (85.2) | .455 |
| Gender, n (%) | |||||||
| Female | 109 | 44 (69.8) | 65 (49.6) | 27 (51.9) | 82 (57.7) | ||
| Male | 85 | 19 (30.2) | 66 (50.4) | .008∗ | 25 (48.1) | 60 (42.3) | .469 |
| Marital status, n (%) | |||||||
| Married | 133 | 38 (57.1) | 97 (74) | 41 (78.8) | 92 (64.8) | ||
| Single | 1 | 0 | 1 (0.5) | 0 | 1 (0.7) | ||
| Divorced | 39 | 16 (25.4) | 23 (17.6) | 5 (9.6) | 34 (23.9) | ||
| Widowed | 21 | 11 (17.5) | 10 (7.6) | .062 | 6 (11.5) | 15 (10.6) | .146 |
| Education, n (%) | |||||||
| University | 76 | 25 (39.7) | 51 (38.9) | 15 (28.8) | 61 (43) | ||
| Primary and middle | 93 | 26 (41.3) | 67 (51.1) | 30 (57.7) | 63 (44.4) | ||
| Illiterate | 25 | 12 (20.4) | 13 (10.3) | .164 | 7 (13.5) | 18 (12.7) | .186 |
| Job status, n (%) | |||||||
| Unemployed (%) | 24 | 13 (20.6) | 11 (8.4) | 4 (7.7) | 20 (14.1) | ||
| Employed | 170 | 50 (79.4) | 120 (91.6) | .015∗ | 48 (92.3) | 122 (85.9) | .231 |
| Socioeconomic status, n (%) | |||||||
| High | 31 | 15 (23.8) | 16 (12.2) | 12 (23.1) | 19 (13.4) | ||
| Medium | 88 | 28 (44.4) | 60 (45.8) | 24 (46.2) | 64 (45.1) | ||
| Low | 75 | 20 (31.7) | 55 (42) | .093 | 16 (30.8) | 59 (41.5) | .183 |
| Clinical characteristics | |||||||
| Diabetes mellitus, n (%) | 101 | 37 (58.7) | 64 (48.9) | .197 | 23 (44.2) | 78 (54.9) | .186 |
| Blood pressure, n (%) | |||||||
| Normal blood pressure | 64 | 27 (42.9) | 37 (28.2) | 19 (36.5) | 45 (31.7) | ||
| Grade 1 hypertension | 79 | 17 (27) | 62 (47.3) | 27 (51.9) | 52 (36.6) | ||
| Grade 2 hypertension | 16 | 6 (9.5) | 10 (7.6) | 1 (1.9) | 15 (10.6) | ||
| Grade 3 hypertension | 35 | 13 (20.6) | 22 (16.8) | .055 | 5 (9.6) | 30 (21.1) | .034∗ |
| Cardiovascular events, n (%) | 24 | 8 (12.7) | 16 (12.2) | .924 | 2 (3.8) | 22 (15.5) | .028∗ |
| Neurological complications, n (%) | 152 | 50 (79.4) | 102 (77.9) | .812 | 42 (80.8) | 110 (77.5) | .621 |
| Tobacco use, n (%) | 12 | 6 (9.5) | 6 (4.6) | .181 | 4 (7.7) | 8 (5.6) | .598 |
| Alcohol use, n (%) | 14 | 8 (12.7) | 6 ((4.6) | .041 | 4 (7.7) | 10 (7) | .877 |
| Duration of symptoms, n (%) | |||||||
| >1 yr | 39 | 23 (36.5) | 16 (12.2) | 16 (30.8) | 23 (16.2) | ||
| ≦1 yr | 155 | 40 (63.5) | 115 (87.8) | .000∗ | 36 (69.2) | 119 (83.8) | .025∗ |
Logistic regression for variables associated with depression.
Logistic regression for variables associated with anxiety.