| Literature DB >> 34554406 |
Khaled Ezzedine1, Viktoria Eleftheriadou2, Heather Jones3, Kristen Bibeau3, Fiona I Kuo3, Daniel Sturm3, Amit G Pandya4,5.
Abstract
BACKGROUND: Patients with vitiligo experience reduced quality of life.Entities:
Mesh:
Year: 2021 PMID: 34554406 PMCID: PMC8566637 DOI: 10.1007/s40257-021-00631-6
Source DB: PubMed Journal: Am J Clin Dermatol ISSN: 1175-0561 Impact factor: 7.403
Fig. 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram
Summary of study characteristics
| Characteristic | Number of studies, |
|---|---|
| Year of publication | |
| 1979–1999 | 13 (7.7) |
| 2000–2009 | 33 (19.6) |
| 2010–2021 | 122 (72.6) |
| Study type | |
| Observational | 162 (96.4) |
| Clinical trial | 6 (3.6) |
| Geographic regiona | |
| Africa | 4 (2.4) |
| Europe | 48 (28.6) |
| Eastern Asiab | 18 (10.7) |
| Southern Asia | 26 (15.5) |
| Middle East | 50 (29.8) |
| North America | 20 (11.9) |
| South America | 6 (3.6) |
| Age group of patients with vitiligo, yearsc | |
| Child only (< 12) | 1 (0.6) |
| Adolescent only (12–17) | 1 (0.6) |
| Adult only (≥ 18) | 87 (51.8) |
| Child and adolescent (≤ 17) | 13 (7.7) |
| Adolescent and adult (≥ 12) | 42 (25.0) |
| All age groups (≥ 0) | 15 (8.9) |
| Number of patients with vitiligod | |
| ≤ 25 | 15 (8.9) |
| 26–100 | 77 (45.8) |
| 101–200 | 38 (22.6) |
| > 200 | 30 (17.9) |
aMultinational studies conducted in 2 geographic regions are listed under both regions
bIncludes East (Northeast) Asia and Southeast Asia
cPatient age groups were not reported for 9 (5.4%) studies
dThe number of patients with vitiligo was not available for 8 studies, which reported on the perceptions of others toward patients with vitiligo (n = 5) and caregiver burden (n = 3)
Fig. 2Number of patients with vitiligo in included studies by country and number of studies. * Number of patients is the sum of patients across studies from each country with multiple populations from the same patient population excluded; the number of unique studies is shown in parentheses after the name of each country. † Includes three studies with populations in the USA and a European country (France, one study [n = 442]; Germany, two studies [n = 85 and n = 74]). Within each study, the number of patients in each country was not available in the published studies; thus, the full population is included in both countries on this map. ‡ Includes one study with a population in France and the USA (n = 442). The number of patients in each country was not available in the published study; thus, the full population is included in both countries on this map. § Includes two studies with populations in Germany and the USA (n = 85 and n = 74) and one study with a population in Germany and Jordan (n = 167). Within each study, the number of patients in each country was not available in the published studies; thus, the full population is included in both countries on this map. || Includes one study with a population in Jordan and Germany (n = 167). The number of patients in each country was not available in the published study; thus, the full population is included in both countries on this map
Prevalence of psychosocial comorbidity in patients with vitiligo
| Psychosocial comorbidity | Comorbidity screening tool | Number of patients with vitiligo | Prevalence, % | Country |
|---|---|---|---|---|
| Depression or depressive disorders | Any | 6–7104 | 0.1–62.3 | Egypt [ |
| Depression | BDI | 100–308 | 30.3–54.5 | Germany [ |
| CES-D | 54–222 | 16.2–27.8 | Japan [ | |
| HADS | 15–102 | 7.8–60.0 | Georgia [ | |
| PHQ-9 | 6–104 | 37.5–50.0 | Thailand [ | |
| Othera | 22–3962 | 2.7–62.3 | Egypt [ | |
| Bipolar disorder | Diagnosed during screening | 53 | 7.6 | India [ |
| Diagnosis on file | 1432 | 0.1 | Taiwan [ | |
| Dysthymic disorder | Diagnosed during screening | 113 | 0.9–1.8 | India [ |
| SCID-I | 42–50 | 4.8–26.0 | Turkey [ | |
| MDD | Othera | 42–7104 | 3.5–56.6 | India [ |
| Unspecified depressive disorder | K-SADS-PL | 30 | 23.4 | Turkey [ |
| Anxiety or anxiety-related disorders | Any | 15–1432 | 1.9–67.9 | Egypt [ |
| Anxiety | BAI | 100–150 | 60.0–66.0 | Iran [ |
| HADS | 15–102 | 18.6–66.7 | Georgia [ | |
| Othera | 30–1432 | 3.3–57 | Egypt [ | |
| Agoraphobia | PAS | 100 | 2.0 | India [ |
| GAD | Othera | 30–42 | 4.8–10.0 | Turkey [ |
| Panic disorder | Othera | 53–95 | 1.9–11.3 | Estonia [ |
| Social phobia | Othera | 42–181 | 2.4–67.9 | Estonia [ |
| Depression and anxiety | Any | 15–102 | 4.9–33.3 | Georgia [ |
| HADS | 15–102 | 4.9–33.3 | Georgia [ | |
| Othera | 30–100 | 5–10.0 | India [ | |
| Stigmatization | Othera | 7–326 | 17.3–100 | Germany [ |
| Adjustment disorders | Any | 22–326 | 4–93.9 | Egypt [ |
| Adjustment disorder | Diagnosed during screening | 113 | 10.6–11.5 | India [ |
| Helplessness | VIS | 22 | 9.1 | Nepal [ |
| Hopelessness | BHS | 100 | 60.0 | Iran [ |
| Stress | Holmes and Rahe Social Readjustment Rating Scale | 30–32 | 65.6–93.9 | Egypt [ |
| Freiburger Personality Inventory | 117 | 28.2 | Germany [ | |
| Unhappiness | Self-report | 22 | 68.2 | Nepal [ |
| Worry about others’ thoughts | VitiQoL | 22–29 | 31.8–40.9 | Nepal [ |
| Worry about spread | VitiQoL | 22–29 | 68.2–75.9 | Nepal [ |
| Othera | 22–326 | 4–88.0 | India [ | |
| Sleep disturbances | Othera | 30–116 | 4.6–89.0 | Egypt [ |
| Behavioral impairment | Any | 22–1432 | 0.1–76 | Egypt [ |
| ADHD | K-SADS-PL | 30 | 20.0 | Turkey [ |
| Binge-eating disorder | PRIME-MD PHQ | 95 | 7.4 | India [ |
| Obsessive disorders | Diagnosed during screening | 53–113 | 7.6–19.5 | Egypt [ |
| Diagnosis on file | 1432 | 0.1 | Taiwan [ | |
| Not specified | 53 | 3.8 | India [ | |
| Social and situational avoidance/restriction | Participation Scale | 100–150 | 17.3–48.0 | India [ |
| Othera | 22–442 | 12.5–76 | France [ | |
| Self-consciousness | Any | 22–326 | 6.2–72.7 | Germany [ |
| Embarrassment | VitiQoL | 22–29 | 27.3–55.5 | Nepal [ |
| Othera | 22–326 | 24–66.7 | India [ | |
| Low self-esteem | RSES | 145–222 | 6.2–6.8 | Singapore [ |
| Othera | 22–117 | 30–72.7 | Germany [ | |
| Emotional impairment | Any | 22–1432 | 6–65.0 | Germany [ |
| VitiQoL | 22–29 | 18.2–55.2 | Nepal [ | |
| Othera | 61–1432 | 6–65.0 | Germany [ | |
| Cognitive impairment | Any | 53–1432 | 0.3–50.8 | India [ |
| Schizophrenia | Diagnosed during screening | 53 | 3.8 | India [ |
| Diagnosis on file | 1432 | 0.3 | Taiwan [ | |
| Unspecified | Skindex-61 | 61 | 50.8 | India [ |
| Relationship difficulties and sexual dysfunction | Any | 22–326 | 2.0–81.8 | Egypt [ |
| Relationships | Othera | 22–326 | 4.5–81.8 | Nepal [ |
| Sexual | Othera | 32–167 | 2.0–48.2 | Egypt [ |
| Alexithymia | TAS-20 | 30–181 | 23.8–46.7 | Iran [ |
| Anger | Any | 61–181 | 14–36.9 | Germany [ |
| IPQ | 100–164 | 29.0–34 | Saudi Arabia [ | |
| Othera | 61–181 | 14–36.9 | Germany [ | |
| Suicidality | Any | 30–326 | 3–28.3 | Egypt [ |
| Attempts | Diagnosed during screening | 30–108 | 3.3–3.7 | Egypt [ |
| Ideation | Othera | 22–326 | 3–25.0 | Egypt [ |
| Unspecified | Not specified | 53 | 28.3 | India [ |
| Somatoform disorder | Othera | 30–95 | 6.3–9.4 | India [ |
| Alcohol dependence or abuse | Othera | 42–95 | 2.4–7.6 | India [ |
ACS Adjustment to Chronic Skin Disorders Questionnaire, ADHD attention-deficit/hyperactivity disorder, ASEX Arizona Sexual Experience Scale, BAI Beck Anxiety Inventory, BDI Beck Depression Inventory, BHS Beck Hopelessness Scale, CES-D Center for Epidemiologic Studies Depression Scale, DLQI Dermatology Life Quality Index, ES-Q Emotional State Questionnaire, GAD generalized anxiety disorder, GHQ General Health Questionnaire, GHQ-H Hindi version of the General Health Questionnaire, HADS Hospital Anxiety and Depression Scale, HDRS Hamilton Depression Rating Scale, IPQ Illness Perception Questionnaire, K-SADS-PL Schedule for Affective Disorders and Schizophrenia for School Age Children-Present and Lifetime Version, MDD major depressive disorder, PAS Psychiatric Assessment Schedule, PHQ-9 Patient Health Questionnaire-9, PRIME-MD PHQ Primary Care Evaluation of Mental Disorders–Patient Health Questionnaire, QIDS-SR-16 Quick Inventory of Depressive Symptomatology-Self Report, RSES Rosenberg Self-Esteem Scale, SCID-I Structured Clinical Interview for DSM-IV Axis I Disorders, SDS Sheehan Disability Scale, SRE Schedule of Recent Experience, TAS-20 Toronto Alexithymia Scale-20, VIS Vitiligo Impact Scale, VIS-22 Vitiligo Impact Scale 22, VitiQoL Vitiligo-specific Quality of Life
aReporting based on diagnosis or self-report, an unspecified tool, or a tool used in only 1 study for each comorbidity; if a comorbidity only included data from 1 study, the specific tool (including diagnosis or self-report) was listed. For “diagnosis on file” and “diagnosed during screening,” formal diagnosis or diagnostic criteria/codes (i.e., Diagnostic and Statistical Manual of Mental Disorders IV/V or International Classification of Diseases 9/10) suggestive of a formal diagnosis were provided in the article. Tools used in only 1 study per comorbidity include ACS (stigmatization, social and situational avoidance/restriction), ASEX (sexual dysfunction), DLQI (sleep disturbances), ES-Q (depression, anxiety, panic disorder, social phobia, sleep disturbances), Freiburger Personality Inventory (social and situational avoidance/restriction, low self-esteem, emotional impairment, anger), GHQ-H (sleep disturbances, somatoform disorder), HDRS (depression, MDD, suicidal ideation), Holmes and Rahe Social Readjustment Rating Scale (sleep disturbances, social and situational avoidance/restriction, sexual dysfunction), IPQ (depression, emotional impairment), K-SADS-PL (GAD, depression and anxiety), Participation Scale (stigmatization), PAS (MDD, anxiety, social phobia, depression and anxiety, sexual dysfunction), PRIME-MD PHQ (depression, MDD, anxiety, panic disorder, somatoform disorder, alcohol dependence or abuse), QIDS-SR-16 (depression, suicidal ideation), SCID-I (MDD, anxiety, GAD, social phobia, alcohol dependence or abuse), SDS (social and situational avoidance/restriction), Skindex-29 (depression, social phobia, worry about spread, embarrassment, emotional impairment, anger), Skindex-61 (depression, embarrassment, emotional impairment, anger), SRE (sleep disturbances, sexual dysfunction), VIS (depression, worry about spread, social and situational avoidance/restriction, embarrassment, relationship difficulties, suicidal ideation), VIS-22 (worry about spread, social and situational avoidance/restriction), and VitiQoL (social and situational avoidance/restriction). Additional details are available in Table 1 of the ESM
Psychosocial comorbidity burden in patients with vitiligo compared with other skin diseases
| Psychosocial comorbidity, % | Vitiligo vs acne | Vitiligo vs alopecia areata | Vitiligo vs atopic dermatitis | Vitiligo vs psoriasis | Vitiligo vs urticaria | Vitiligo vs eczema |
|---|---|---|---|---|---|---|
| Depression | ||||||
| Anxiety | ||||||
( | ||||||
| 3.3 vs 3.3 [ | ||||||
| Depression and anxiety | ||||||
| Sleep disturbances | ||||||
| Suicide | ||||||
| Ideation | ||||||
| Attempt | [ | [ | ||||
| Sexual dysfunction | ||||||
| Somatoform disorder | ||||||
| Adjustment disorder | [ | |||||
| Obsessive-compulsive disorder | ||||||
| Bipolar affective disorder | ||||||
| Schizophrenia | ||||||
| Alcohol dependence syndrome | ||||||
| Dysthymia | ||||||
| Stigma | ||||||
| Stressa | ||||||
| Participation restriction | ||||||
| Unspecified psychiatric comorbidity |
Bolded cells indicate a higher prevalence in vitiligo; italics cells indicate a lower prevalence in vitiligo
aStress includes stressful events that stem from family, personal, work, and financial problems
Fig. 3Heat map showing the references that report factors significantly associated with psychosocial comorbidity. Significance was conferred at p ≤ 0.05. Darker red shading indicates a larger number of studies reporting significant associations
| Vitiligo has been associated with depression and anxiety; however, other psychosocial comorbidities have not been comprehensively investigated. |
| A wide variety of psychosocial comorbidities are prevalent in patients with vitiligo; multidisciplinary treatment strategies and education about vitiligo are vital to addressing the burden of this disease. |