ORIGINAL REPORT
Akimichi MORITA1*
, Yukari OKUBO2
, Ryuhei OKUYAMA3
, Yoko MIZUTANI4
, Nobuo KANAZAWA5
, Atsushi OTSUKA6
, Takuya MIYAGI7
, Masao SHIONOYA8, Reina MIZUNO9
, Morihisa SAITOH9
and Shinichi IMAFUKU10
on behalf of the study investigators
1Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan, 2Department of Dermatology, Tokyo Medical University, Tokyo, Japan, 3Department of Dermatology, Shinshu University School of Medicine, Matsumoto, Japan, 4Department of Dermatology, Gifu University Graduate School of Medicine, Gifu, Japan, 5Department of Dermatology, Hyogo Medical University, Nishinomiya, Japan, 6Department of Dermatology, Faculty of Medicine, Kindai University, Osaka, Japan, 7Department of Dermatology, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan, 8Statistical Analysis Department, Mebix, Inc., Tokyo, Japan, 9Nippon Boehringer Ingelheim Co. Ltd, Tokyo, Japan, and 10Department of Dermatology, Fukuoka University Faculty of Medicine, Fukuoka, Japan
Corr: Akimichi Morita, Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan. *Email: amorita@med.nagoya-cu.ac.jp
Key words: Diabetes mellitus; Fever; Infections; Psoriasis; Risk factors; Symptom flare up.
Citation: Acta Derm Venereol 2026; 106: adv-2025-0024. DOI: https://doi.org/10.2340/actadv.v106.adv-2025-0024.
Copyright: © 2026 The Author(s). Published by MJS Publishing, on behalf of the Society for Publication of Acta Dermato-Venereologica. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/).
Submitted: Sept 10, 2025. Accepted after revision: Dec 29, 2025.
Published: Apr 20, 2026.
Competing interests and funding: The study was supported and funded by Nippon Boehringer Ingelheim.
To ensure independent interpretation of clinical study results and enable authors to fulfil their role and obligations under the ICMJE criteria, Nippon Boehringer Ingelheim grants all external authors access to relevant clinical study data. In adherence with the Boehringer Ingelheim Policy on Transparency and Publication of Clinical Study Data, scientific and medical researchers can request access to clinical study data, typically one year after the approval has been granted by major Regulatory Authorities or after termination of the development program. Researchers should use https://vivli.org/ to request access to study data and visit https://www.mystudywindow.com/msw/datasharing for further information.
Approved by the Institutional Review Board of Takahashi Clinic on 08/June/2023.
AM declares receiving research grants, consultancy fees and/or speaker fees from AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly Japan, Janssen, Kyowa Kirin, LEO Pharma, Maruho, Sun Pharma Japan, Taiho Pharmaceutical, Torii Pharmaceutical, UCB Japan and Ushio. YO declares receiving grants or contracts from Eisai, Maruho and Shiseido Torii; consulting fees from AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eisai, Eli Lilly, Janssen, JIMRO, Kyowa Kirin, LEO Pharma, Maruho, Mitsubishi Tanabe, Novartis, Pfizer, Sanofi, Sun Pharma, Taiho Pharmaceutical, Torii Pharmaceutical and UCB. RO declares receiving research grants, consulting fees and/or speaker's fees from AbbVie, Amgen, Boehringer Ingelheim, Eisai, Eli Lilly, Janssen, Kyowa Kirin, LEO Pharma, Maruho, Mitsubishi Tanabe, Novartis, Pfizer, Sun Pharma, Taiho Pharmaceutical, Torii Pharmaceutical and UCB. YM declares receiving speaker fees from Eli Lilly, Maruho and UCB. NK declares receiving research grants, consulting fees and/or speaker's fees from AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Maruho, Taiho Pharmaceutical and UCB. AO and TM declare no conflicts of interest that are directly relevant to the content of this article. MS is an employee of Mebix, Inc., the contract research organization that supported this study. RM and MS are employees of Nippon Boehringer Ingelheim. SI declares receiving research grants, consultancy fees and/or speaker fees from, and/or participation in clinical trials sponsored by AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Daiichi Sankyo, Eisai, Eli Lilly, GSK, Janssen, Kyowa Kirin, LEO Pharma, Maruho, Meiji Seika, Novartis, Pfizer, Sun Pharma, Taiho Pharmaceutical, Torii Pharmaceutical, Toyo Seiyaku Kasei and UCB Japan.
Generalized pustular psoriasis (GPP) is a rare, systemic inflammatory disease characterized by a heterogeneous and often unpredictable clinical course involving chronic symptoms and recurrent flares. Due to the rarity of GPP, our understanding of factors associated with flare recurrence remains unclear. Using an existing data set of adult patients with GPP in Japan, we performed univariate and multivariate analyses to investigate potential factors related to GPP flare recurrence, including patient demographics, treatment and severity of baseline flare. In total, 150 patients with a baseline flare were included in this analysis; 27.3% (n=41) experienced flare recurrence during the follow-up period (mean duration: 4.16 years). For the overall population, 56.0% of patients were male (n=84), the mean age at baseline was 55.5 years, and the mean body mass index was 24.3 kg/m2. Based on the Cox proportional hazards model, comorbid diabetes mellitus, a fever of ≥38.5°C at baseline flare, experience of flare(s) prior to baseline and certain respiratory infections were associated with a higher risk of flare recurrence, similar to previously published findings. These results could help identify patients at risk of GPP flares; however, clinically applicable prediction of GPP flares requires further research in a wider population.
By analysing a population of adult patients with GPP in Japan, this study highlights several factors that could help physicians better manage and monitor patients with GPP who are potentially at higher risk of experiencing recurrence of GPP flares. These factors include a diagnosis of diabetes mellitus, high fever (≥38.5°C) at baseline flare, previous flare experience and certain respiratory infections. These results could help improve patient care for those affected by GPP, a rare and unpredictable disease with potentially fatal outcomes.
Generalized pustular psoriasis (GPP) is a rare, systemic inflammatory skin disease with a reported prevalence of 7.5–15 patients per million people in Japan (1, 2, 3). The clinical course of GPP is unpredictable and heterogeneous, characterized by chronic symptoms and recurrent, painful flares of macroscopically visible, sterile pustules on a background of erythema (2, 4, 5, 6, 7, 8, 9). During a flare, patients with GPP can also present with systemic symptoms such as fever, arthralgia and fatigue (2, 4, 5, 6, 10); flare-related systemic complications may become life-threatening, most commonly from sepsis/septic shock and cardiovascular complications (11, 12). In addition to their significant clinical burden, GPP flares are associated with a considerable impact on patients’ quality of life (13, 14, 15), as well as increased healthcare resource utilization compared with the general population or patients with plaque psoriasis (16, 17, 18). Furthermore, patients with GPP often present with multiple comorbidities, such as hypertension, diabetes mellitus and obesity (18, 19 ,20), which further contribute to the overall disease burden on patients and healthcare systems.
While some patients may experience multiple flares per year, others may only experience a flare once every few years. Intra-patient variability is also observed regarding the extent, severity and characteristics of flares (7, 21). The unpredictability of GPP is also reflected by the wide variation of flare triggers reported in the literature, including infections, medication withdrawal, stress, menstruation and pregnancy (9, 13, 14, 21). However, identifiable triggers are not always reported; the proportion of patients with unknown triggers is estimated to be 15–62% (10). Even in larger-scale studies of patients with GPP, patterns of flare triggers are heterogeneous (1, 14, 20, 22, 23).
In summary, the rarity and heterogeneity of GPP mean that our understanding of GPP flare triggers and the factors related to flare recurrence remains limited. This study aimed to identify factors related to flare recurrence, which may in turn facilitate tailored management strategies for patients who are more at risk of experiencing a flare.
A retrospective, longitudinal, medical chart review of patients with GPP in Japan was conducted in 2023 to describe patient characteristics, treatment patterns, and the frequency and severity of GPP flares (24). The present analysis was carried out via secondary use of the existing data from this study, which included the medical records of patients with a documented history of GPP as the primary data source and the clinical survey form submitted annually to the Ministry of Health, Labour and Welfare as the secondary data source (24, 25). Patients were included if they were diagnosed with GPP (based on the 2006 Japanese Dermatological Association diagnostic criteria) within 10 years of the approval of the study protocol by the Ethics Review Committee (Table SI) and had medical records for ≥6 months of continuous observation (Fig. S1). Patients with baseline GPP flares were investigated for recurrence of flares during the follow-up period (refer to Supplemental Material for details on the definition and time frame of flare recurrence). Several potential factors related to recurrence of GPP flares were investigated, including patient demographics, severity of the baseline flare, types of treatment, previous experience of flares before baseline and time-dependent covariates (e.g. infections during the follow-up period). Univariate and multivariate time-to-event analyses using the Cox proportional hazards model were performed to identify factors associated with recurrence of GPP flares. Covariates for the multivariate analyses were determined based on the univariate analyses and medical experts’ recommendations, focusing on patient demographics and minimizing the inclusion of time-dependent variables. Variables with a p-value of <0.1 from univariate analyses were included in the multivariate analysis.
The hazard ratio (HR), 95% confidence interval (CI) and p-values were calculated to estimate the relationship between GPP flare recurrence and covariates. p-values of <0.05 were considered statistically significant (not adjusted for multiplicity).
A total of 205 patients diagnosed with GPP in Japan were included in the original data set (24), and 150 patients were eligible for inclusion in this analysis (Fig. S2). Of these, 41 patients (27.3%) experienced recurrence of GPP flares during the follow-up period (mean duration of follow-up: 4.16 [standard deviation (SD): 2.56] years). The proportion of male patients was similar between the overall population (84/150; 56.0%) and the population that experienced a recurrence of GPP flare (25/41; 60.0%). The mean (SD) age at baseline was also similar: 55.5 (17.1) years in the overall population and 54.5 (16.7) years in patients with recurrent flares. The mean (SD) body mass index (BMI) at baseline was 24.3 (4.5) kg/m2 in the overall population and 24.0 (5.0) kg/m2 in patients with recurrent flares. In the overall population, comorbidities were observed in 106 patients (70.7%), with plaque psoriasis being the most common, reported in 65 patients (43.3%). This pattern was reflected in the recurrent flare population: 30 patients (73.2%) and 20 patients (48.8%) reported comorbidities and plaque psoriasis, respectively. In terms of treatment, a similar proportion of patients received biologics during the follow-up period: 121/150 (80.7%) in the overall population and 36/41 (87.8%) in patients with recurrent flares (Table SII). Retrospective data on GPP-related genetic mutations (IL36RN and CARD14) was available for 35 patients (23.3%) (Table SIII).
In the univariate analyses, no difference was observed in the risk of GPP flare recurrence by patients’ sex or age (as a categorical or continuous variable). There was a trend towards a lower risk of flare recurrence for patients with a BMI ≥20 vs those with a BMI <20 (HR: 0.50; 95% CI: 0.23–1.08). However, no trend in flare recurrence was observed when BMI was analysed as a continuous variable, i.e. measured in 1-unit increments (Table I). Furthermore, there was no difference observed in the risk of GPP flare recurrence based on the presence or absence of IL36RN and CARD14 mutations, although the number of patients with retrospective genetic testing data available was limited (Table I).
Table I. Potential factors associated with flare recurrence: baseline demographics
| Number of patients | Recurrence of GPP flare (%) | Hazard ratio | 95% CI | p-value* | ||||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Sex | Male | 84 | 25 (29.8) | 0.8189 | ||||
| Female | 66 | 16 (24.2) | 0.9290 | 0.4945 | 1.7451 | |||
| Age (years) | ≤57 (median) | 79 | 22 (27.8) | 0.6681 | ||||
| >57 (median) | 71 | 19 (26.8) | 1.1440 | 0.6184 | 2.1163 | |||
| <65 | 99 | 28 (28.3) | 0.9590 | |||||
| ≥65 | 51 | 13 (25.5) | 0.9829 | 0.5088 | 1.8987 | |||
| Per 1 year increase | 150 | 41 (27.3) | 1.0008 | 0.9823 | 1.0197 | 0.9303 | ||
| BMIa (kg/m2) | <30 | 100 | 26 (26.0) | 0.4001 | ||||
| ≥30 | 14 | 5 (35.7) | 1.5101 | 0.5782 | 3.9443 | |||
| <25 | 70 | 19 (27.1) | 0.8722 | |||||
| ≥25 | 44 | 12 (27.3) | 1.0611 | 0.5149 | 2.1867 | |||
| <20 | 19 | 9 (47.4) | 0.0788 | |||||
| ≥20 | 95 | 22 (23.2) | 0.4986 | 0.2294 | 1.0835 | |||
| Per 1-unit increase | 114 | 31 (27.2) | 0.9830 | 0.9063 | 1.0663 | 0.6797 | ||
| Presence of GPP‐associated genetic mutationsb | IL36RN mutation | Yes | 8 | 2 (25.0) | 0.7807 | |||
| No | 15 | 4 (26.7) | 0.7843 | 0.1418 | 4.3374 | |||
| CARD14 mutation | Yes | 2 | 0 (0.0) | 0.9986 | ||||
| No | 10 | 2 (20.0) | >999.9999 | <0.0001 | – | |||
|
*The Cox proportional hazards model was used to calculate the p-value (p-values of <0.05 were considered statistically significant); aInformation on BMI was available for 114 patients, of whom 31 (27.2%) experienced a flare recurrence; bData derived retrospectively from patients with genetic test results. BMI:body mass index; CI:confidence interval; GPP:generalized pustular psoriasis. |
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There was no difference in the risk of GPP flare recurrence by psoriasis-related comorbidities (e.g. plaque psoriasis). However, patients with diabetes mellitus or immunological disorders exhibited a significantly higher risk of flare recurrence (HR: 2.89 [95% CI: 1.44–5.81] and 8.49 [95% CI: 2.00–36.05], respectively). Twenty-six patients had concomitant diabetes mellitus, of whom 11 (42.3%) experienced flare recurrence. In contrast, among the 124 patients without concomitant diabetes mellitus, 30 (24.2%) experienced flare recurrence. The number of patients with comorbid immunological disorders was very limited in this population (n=2); both patients had rheumatoid arthritis and were treated with topical corticosteroids (Table II).
Table II. Potential factors associated with flare recurrence: comorbidities
| Number of patients | Recurrence of GPP flare (%) | Hazard ratio | 95% CI | p-value* | |||
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Plaque psoriasis | No | 85 | 21 (24.7) | 0.8186 | |||
| Yes | 65 | 20 (30.8) | 1.0748 | 0.5805 | 1.9900 | ||
| Psoriasis arthritis | No | 111 | 27 (24.3) | 0.3718 | |||
| Yes | 39 | 14 (35.9) | 1.3428 | 0.7032 | 2.5642 | ||
| Erythrodermic psoriasis | No | 149 | 41 (27.5) | 0.9892 | |||
| Yes | 1 | 0 (0.0) | <0.0001 | <0.0001 | – | ||
| Focal infection | No | 140 | 37 (26.4) | 0.1725 | |||
| Yes | 10 | 4 (40.0) | 2.0629 | 0.7288 | 5.8387 | ||
| Immunological disordersa | No | 148 | 39 (26.4) | 0.0037 | |||
| Yes | 2 | 2 (100.0) | 8.4949 | 2.0016 | 36.0539 | ||
| Renal and urinary tract disorders | No | 129 | 36 (27.9) | 0.8848 | |||
| Yes | 21 | 5 (23.8) | 0.9332 | 0.3659 | 2.3800 | ||
| Diabetes mellitus | No | 124 | 30 (24.2) | 0.0029 | |||
| Yes | 26 | 11 (42.3) | 2.8879 | 1.4356 | 5.8093 | ||
| Cardiovascular disorders | No | 137 | 38 (27.7) | 0.7729 | |||
| Yes | 13 | 3 (23.1) | 0.8404 | 0.2581 | 2.7369 | ||
| Malignancy | No | 145 | 40 (27.6) | 0.6205 | |||
| Yes | 5 | 1 (20.0) | 0.6055 | 0.0831 | 4.4119 | ||
|
*The Cox proportional hazards model was used to calculate the p-value (p-values of <0.05 were considered statistically significant); aRheumatoid arthritis (both patients were treated with topical corticosteroids). CI:confidence interval; GPP:generalized pustular psoriasis. |
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The severity of the baseline flare was confirmed by the Data Review Committee based on the Japanese Dermatological Association criteria (26) – a 17-point numerical score for classifying the severity of GPP as mild (0–6), moderate (7–10), or severe (11–17) based on skin and systemic symptoms and laboratory findings. Among these criteria, high fever (≥38.5°C) was identified as a potential factor associated with a significantly increased risk of flare recurrence. Recurrence of GPP flares was observed in 8/25 patients (32.0%) with a high fever of ≥38.5°C, 23/61 patients (37.7%) with a mild fever between 37°C and <38.5°C (HR: 0.79; 95% CI: 0.35–1.78), and 9/58 patients (15.5%) with a temperature of <37°C (HR: 0.28; 95% CI: 0.11–0.74) (Table III).
Table III. Potential factors associated with flare recurrence: symptoms and findings at baseline
| Number of patients | Recurrence of GPP flare (%) | Hazard ratio | 95% CI | p-value* | ||||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Evaluation of skin symptomsa | Erythema area (overall) | ≥75% | 70 | 18 (25.7) | 0.6618 | |||
| ≥25 to <75% | 52 | 15 (28.8) | 1.1909 | 0.5983 | 2.3701 | |||
| <25% | 21 | 5 (23.8) | 0.7445 | 0.2737 | 2.0252 | |||
| None | 0 | |||||||
| Erythema area with pustules | ≥50% | 27 | 6 (22.2) | 0.4428 | ||||
| ≥10 to <50% | 68 | 22 (32.4) | 1.6921 | 0.6853 | 4.1780 | |||
| <10% | 32 | 7 (21.9) | 1.2229 | 0.4096 | 3.6508 | |||
| None | 13 | 3 (23.1) | 0.7583 | 0.1877 | 3.0632 | |||
| Area of oedema | ≥50% | 21 | 6 (28.6) | 0.7661 | ||||
| ≥10 to <50% | 55 | 18 (32.7) | 1.1057 | 0.4351 | 2.8098 | |||
| <10% | 22 | 3 (13.6) | 0.6432 | 0.1604 | 2.5801 | |||
| None | 23 | 7 (30.4) | 0.7780 | 0.2532 | 2.3911 | |||
| Systemic symptoms and laboratory findingsa | Fever (℃) | ≥38.5 | 25 | 8 (32.0) | 0.0136 | |||
| ≥37 to <38.5 | 61 | 23 (37.7) | 0.7895 | 0.3495 | 1.7835 | |||
| <37 | 58 | 9 (15.5) | 0.2793 | 0.1060 | 0.7359 | |||
| White blood cell (/µL) | ≥15,000 | 41 | 10 (24.4) | 0.7765 | ||||
| ≥10,000 to <15,000 | 52 | 15 (28.8) | 1.2667 | 0.5683 | 2.8235 | |||
| <10,000 | 54 | 15 (27.8) | 1.0063 | 0.4510 | 2.2451 | |||
| C-reactive protein (mg/dL) | ≥7.0 | 50 | 13 (26.0) | 0.9890 | ||||
| ≥0.3 to <7.0 | 69 | 19 (27.5) | 0.9503 | 0.4687 | 1.9266 | |||
| <0.3 | 28 | 8 (28.6) | 0.9525 | 0.3943 | 2.3009 | |||
| Serum albumin (g/dL) | <3.0 | 37 | 7 (18.9) | 0.2312 | ||||
| ≥3.0 to <3.8 | 40 | 15 (37.5) | 1.7867 | 0.7256 | 4.3993 | |||
| ≥3.8 | 65 | 16 (24.6) | 1.0174 | 0.4159 | 2.4890 | |||
| GPP severity classification (based on JDA criteria)b | Mild (0–6) |
25 | 8 (32.0) | 0.4138 | ||||
| Moderate (7–10) |
31 | 6 (19.4) | 0.6300 | 0.2176 | 1.8240 | |||
| Severe (11–17) |
58 | 18 (31.0) | 1.1795 | 0.5077 | 2.7400 | |||
| Severity of baseline GPP flare (confirmed by the Data Review Committee) | Mild | 22 | 9 (40.9) | 0.0661 | ||||
| Moderate | 44 | 6 (13.6) | 0.3459 | 0.1227 | 0.9751 | |||
| Severe | 84 | 26 (31.0) | 0.9577 | 0.4437 | 2.0669 | |||
| Experience of flare before baselinea | No | 96 | 22 (22.9) | 0.0348 | ||||
| Yes | 42 | 17 (40.5) | 1.9793 | 1.0500 | 3.7308 | |||
|
aExcluding unknown values; *The Cox proportional hazards model was used to calculate the p-value (p-values of <0.05 were considered statistically significant); bAnalysis by GPP severity at baseline (confirmed by the Data Review Committee) was performed on the patient population for whom the severity of baseline GPP flare was grouped based on the sum of the scores of skin symptoms (0–9) and the scores of systemic symptoms and laboratory findings (0–8), excluding patients for whom any of the scores were unknown. CI:confidence interval; GPP:generalized pustular psoriasis; JDA:Japanese Dermatological Association. |
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There was no significant difference in the risk of flare recurrence associated with any type of medication use, either up to 2 months after the onset of the baseline flare or during the follow-up period (Table IV). Among patients who received biologics within 2 months of baseline flare onset, the class of biologics – such as tumour necrosis factor inhibitors, interleukin (IL)-17, IL-23 or IL-12/23 inhibitors – was not associated with a significant difference in the risk of flare recurrence (Table SIV). Of the 41 patients who experienced GPP flare recurrence, none of the 9 patients with a mild baseline flare received biologics, whereas 4/6 patients (66.7%) with a moderate baseline flare and 17/26 patients (65.4%) with a severe baseline flare received biologics (Table SV).
Table IV. Potential factors associated with flare recurrence: types of treatment
| Number of patients | Recurrence of GPP flare (%) | Hazard ratio | 95% CI | p-value* | ||||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Treatment for GPP up to 2 months after the onset of the baseline flare | Biologicsa | No | 85 | 29 (34.1) | 0.0837 | |||
| Yes | 65 | 12 (18.5) | 0.5509 | 0.2804 | 1.0826 | |||
| Non-biologic systemic therapy (Category 1)b | No | 59 | 18 (30.5) | 0.5801 | ||||
| Yes | 91 | 23 (25.3) | 0.8401 | 0.4532 | 1.5574 | |||
| Non-biologic systemic therapy (Category 2)c | No | 61 | 19 (31.1) | 0.4479 | ||||
| Yes | 89 | 22 (24.7) | 0.7883 | 0.4265 | 1.4570 | |||
| Systemic steroids | No | 126 | 35 (27.8) | 0.7553 | ||||
| Yes | 24 | 6 (25.0) | 1.1486 | 0.4805 | 2.7454 | |||
| Granulocyte and monocyte adsorption apheresis | No | 122 | 33 (27.0) | 0.2492 | ||||
| Yes | 28 | 8 (28.6) | 1.5862 | 0.7237 | 3.4766 | |||
| Treatment during follow-up periodd | Systemic steroids | No | – | – | 0.6224 | |||
| Yes | – | – | 0.8234 | 0.3800 | 1.7842 | |||
| Antibacterial drugs | No | – | – | 0.5231 | ||||
| Yes | – | – | 1.2642 | 0.6156 | 2.5959 | |||
| Topical steroidse (strongest) | No | – | – | 0.7933 | ||||
| Yes | – | – | 1.0928 | 0.5626 | 2.1228 | |||
|
*The Cox proportional hazards model was used (p-values of <0.05 were considered statistically significant); aBiologics comprised TNF inhibitors (adalimumab, certolizumab pegol and infliximab); IL-17 inhibitors (brodalumab, ixekizumab and secukinumab); IL-23 inhibitors (guselkumab and risankizumab); and IL-12/23 inhibitor (ustekinumab); bCategory 1 included cyclosporine MEPC, etretinate, methotrexate, apremilast, sulfasalazine and azathioprine; cCategory 2 included cyclosporine MEPC, etretinate and methotrexate; dFrom the date of onset of the baseline GPP flare to the date of GPP flare recurrence, or to the end of the follow-up period for patients without recurrence of GPP flares; the Cox proportional hazards model with time-dependent covariates was used to calculate the p-values, eIncluding steroids for the scalp. CI:confidence interval; GPP:generalized pustular psoriasis. |
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Data on infections were collected from the date of onset of the baseline GPP flare to the date of flare recurrence, or to the end of the follow-up period for patients who did not experience flare recurrence. In the univariate analysis for infections that occurred in ≥2 patients within this time frame, nasopharyngitis (HR: 3.68; 95% CI: 1.43–9.46) and pneumonia (HR: 3.34; 95% CI: 1.17–9.57) were identified as factors associated with a significantly higher risk of flare recurrence (Table V).
Table V. Potential factors associated with flare recurrence: infections during follow-up
| Infection and infestation* | Case (n=150) | Hazard ratio | 95% CI | p-value† | |
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Nasopharyngitis | 11 (7.3%) | 3.6783 | 1.4299 | 9.4623 | 0.0069 |
| Pneumonia | 8 (5.3%) | 3.3408 | 1.1661 | 9.5714 | 0.0247 |
| Tinea pedis | 7 (4.7%) | 2.2157 | 0.5133 | 9.5649 | 0.2863 |
| Cellulitis | 6 (4.0%) | 0.6787 | 0.0920 | 5.0044 | 0.7038 |
| Dermatophytosis of nail | 4 (2.7%) | <0.0001 | <0.0001 | – | 0.9904 |
| Herpes zoster | 3 (2.0%) | <0.0001 | <0.0001 | – | 0.9889 |
| Oral herpes | 3 (2.0%) | <0.0001 | <0.0001 | – | 0.9908 |
| Herpes simplex | 2 (1.3%) | <0.0001 | <0.0001 | – | 0.9899 |
| Oral candidiasis | 2 (1.3%) | 1.5931 | 0.2142 | 11.8483 | 0.6492 |
| Otitis media | 2 (1.3%) | <0.0001 | <0.0001 | – | 0.9912 |
| Periodontitis | 2 (1.3%) | <0.0001 | <0.0001 | – | 0.9891 |
| Pulmonary tuberculosis | 2 (1.3%) | 3.0971 | 0.4131 | 23.2210 | 0.2714 |
| Sepsis | 2 (1.3%) | 1.2634 | 0.1732 | 9.2160 | 0.8176 |
| Tonsillitis | 2 (1.3%) | 4.6893 | 0.6299 | 34.9104 | 0.1314 |
| Viral infection | 2 (1.3%) | 2.2559 | 0.3009 | 16.9136 | 0.4287 |
| Tinea versicolor | 2 (1.3%) | <0.0001 | <0.0001 | – | 0.9898 |
| Candida infection | 2 (1.3%) | 5.8551 | 0.7567 | 45.3059 | 0.0905 |
|
*Data on infections were collected from the date of onset of the baseline GPP flare to the date of recurrence of a GPP flare, or to the end of the follow-up (for patients without flare recurrence); †The Cox proportional hazards model with time-dependent covariates was used (p-values of <0.05 were considered statistically significant). CI:confidence interval; GPP:generalized pustular psoriasis. |
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Based on the univariate analyses and clinical experience from the medical experts, potential factors associated with recurrence of GPP flares included comorbid diabetes mellitus, experience of GPP flare(s) before baseline, and fever of ≥38.5°C at baseline flare. Multivariate analysis identified diabetes mellitus (HR: 5.10; 95% CI: 1.84–14.19) and experience of GPP flare(s) before baseline (HR: 2.87; 95% CI: 1.32–6.26) as factors related to recurrence of GPP flares (Table VI; refer to Table SVI for the full results of the multivariate analysis).
Table VI. Potential factors associated with flare recurrence: multivariate analysis
| Hazard ratio | 95% CI | p-value* | |||
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Diabetes mellitus | No | 0.0018 | |||
| Yes | 5.1045 | 1.8361 | 14.1910 | ||
| Experienced GPP flare before baseline | No | 0.0080 | |||
| Yes | 2.8714 | 1.3176 | 6.2575 | ||
|
*The Cox proportional hazards model was used to calculate the p-value for covariates or time-dependent covariates (p-values of <0.05 were considered statistically significant). CI:confidence interval; GPP:generalized pustular psoriasis. |
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This large-scale analysis of over 150 patients with GPP in Japan supports previous findings on the association between patient characteristics and GPP flare recurrence. For example, Ohn et al. identified diabetes mellitus as a predictor of patients with GPP requiring admission to the intensive care unit (27). Interestingly, higher levels of IL-36α and/or IL-36γ have been observed in the serum of patients with diabetes mellitus compared with individuals without (28, 29). As IL-36 cytokines are considered key mediators of inflammation in GPP (30), this inflammatory status in patients with diabetes mellitus may have contributed to the observed increased risk of GPP flares. The presence of high fever, reflecting severe systemic inflammation, was also associated with an increased risk of GPP flare recurrence in our analysis. A fever of >38.5°C during a GPP flare may increase the risk of flare recurrence, according to a predictive model developed by Xu et al. (31). With the exception of fever, we did not observe a link between the severity of the baseline flare and the risk of flare recurrence. Severity of the baseline flare was based on skin symptoms (e.g. surface area of erythema) and systemic inflammation as assessed by fever and certain laboratory findings (e.g. white blood cell count) (26). It is likely that temperature was recorded more frequently than laboratory tests, and therefore fever may be a more sensitive and reliable measure of flare severity. However, practices for recording temperature may have varied across participating centres (e.g. using the highest recorded value vs an average of multiple readings). In addition, the reason why the risk of flare recurrence was not lower in patients who experienced a mild flare at baseline may be because biologics were not prescribed for these patients. Consistent with our analysis, previous studies have found that infections are a trigger for GPP flares (9, 13, 14, 21).
There was no association between the presence of concomitant plaque psoriasis and the risk of GPP flare recurrence in this study. However, a population-based, retrospective cohort study by Choon et al. observed that GPP patients without concomitant plaque psoriasis experience more flares compared with those with plaque psoriasis (32). A possible explanation for this difference in results is that 80% of the patients in our analysis were receiving biologics in specialized centres, whereas Choon et al. utilized electronic health records from primary and secondary care settings (32). Therefore, the presence or absence of plaque psoriasis may not have had much impact on the risk of flare recurrence.
There were some limitations to our study. Some of the subgroups analysed (e.g. patients with certain comorbidities) may have been too small to identify the factors related to flare recurrence risk. Additionally, due to the retrospective nature of the study, the length of the follow-up period depended on when patients were enrolled in the original data set (24), resulting in a biased distribution that could have affected the analyses. Furthermore, certain variables could have changed over time and failed to be captured. For instance, information on infections during the follow-up period was collected from medical chart review; therefore, mild or potential infections may not have been reported.
The original data set mainly included patients who were diagnosed in medical institutions that specialized in psoriasis. Therefore, the generalizability of the study results may be limited to patients who were diagnosed with the von Zumbusch subtype of GPP and treated in such institutions. In order to minimize the impact of this bias, the locations of the facilities where patients’ medical records were reviewed and extracted from in the original study were dispersed throughout Japan (24).
In conclusion, this study of adult patients with GPP in Japan suggests that the presence of comorbid diabetes mellitus, high fever at baseline flare, experience of flare(s) prior to baseline and certain infections may be risk factors for GPP flare recurrence. These insights could aid physicians in identifying patients with GPP who are at higher risk of experiencing a flare, thus requiring careful monitoring and management to control their disease. Further research is needed to achieve clinically applicable predictions of GPP flares.
The authors would like to thank the Japanese Society for Psoriasis Research for endorsing the study on which this retrospective analysis is based and the participating investigators, as listed in the Supporting Information file, for their contribution to the original study. Yuheng Ouyang, BSc, of Nucleus Global (London, UK), provided writing, editorial and formatting support, which was contracted and funded by Nippon Boehringer Ingelheim. The authors meet criteria for authorship as recommended by the International Committee of Medical Journal Editors (ICMJE). The authors did not receive payment related to the development of this manuscript. Nippon Boehringer Ingelheim was given the opportunity to review the manuscript for medical and scientific accuracy as well as intellectual property considerations. The authors accept and agree with the UN’s Declaration of Human Rights.
The following investigators also participated in this study: Kenji Kabashima, Yukie Yamaguchi, Koji Masuda, Keiichi Yamanaka, Takuro Kanekura, Shigeto Yanagihara, Chiharu Tateishi, Yayoi Tada, Tetsuya Honda, Satoshi Fukushima, Kazuki Yatsuzuka, Masahito Yasuda, Emi Yokoyama, Mayumi Komine, Kazumitsu Sugiura, Masahiro Amano, Daisuke Watabe, Koremasa Hayama, Hitoshi Tsuchihashi, Masaru Honma, Masatoshi Abe, Hajime Iizuka and Akihiko Asahina.