Development and validation of a new method for potential use of Psoriasis Area and Severity Index in teledermatology.
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ABSTRACT:
SUBMITTER: Wu J
PROVIDER: S-EPMC7891613 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Publications
Development and validation of a new method for potential use of Psoriasis Area and Severity Index in teledermatology.
Wu Jason J Petto Helmut H Dutronc Yves Y Burkhardt Nicole N Gebauer Kurt K Gooderham Melinda M
The Australasian journal of dermatology 20200816 1
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Project description:BackgroundThe self-assessment psoriasis area severity index (SAPASI) is a patient-administered psoriasis assessment tool for which we present a validated translation from English to Swedish.MethodsValidity was evaluated in this single-centre study using the psoriasis area severity index (PASI) as the standard. Test-retest reliability was assessed using repeated SAPASI measurements.ResultsSignificant correlations (p < 0.0001) using Spearman's correlation coefficient (r) were found between PASI and SAPASI scores (r = 0.60) for 51 participants (median baseline PASI 4.4, interquartile range [IQR]: 1.8-5.6) and repeated SAPASI measurements (r = 0.70) among 38 participants (median baseline SAPASI 4.0, IQR: 2.5-6.1). Bland-Altman plots showed generally higher SAPASI scores than PASI scores.ConclusionThe translated version of SAPASI is valid and reliable, although patients generally tend to overrate their disease severity compared to PASI. Keeping this limitation in mind, SAPASI has the potential of being implemented as a time- and cost-efficient assessment tool in a Scandinavian context.
| S-EPMC10614249 | biostudies-literature
Project description:BackgroundThe Psoriasis Area and Severity Index (PASI) score is commonly used in clinical practice and research to monitor disease severity and determine treatment efficacy. Automating the PASI score with deep learning algorithms, like Convolutional Neural Networks (CNNs), could enable objective and efficient PASI scoring.ObjectivesTo assess the performance of image-based automated PASI scoring in anatomical regions by CNNs and compare the performance of CNNs to image-based scoring by physicians.MethodsImaging series were matched to PASI subscores determined in real life by the treating physician. CNNs were trained using standardized imaging series of 576 trunk, 614 arm and 541 leg regions. CNNs were separately trained for each PASI subscore (erythema, desquamation, induration and area) in each anatomical region (trunk, arms and legs). The head region was excluded for anonymity. Additionally, PASI-trained physicians retrospectively determined image-based subscores on the test set images of the trunk. Agreement with the real-life scores was determined with the intraclass correlation coefficient (ICC) and compared between the CNNs and physicians.ResultsIntraclass correlation coefficients between the CNN and real-life scores of the trunk region were 0.616, 0.580, 0.580 and 0.793 for erythema, desquamation, induration and area, respectively, with similar results for the arms and legs region. PASI-trained physicians (N = 5) were in moderate-good agreement (ICCs 0.706-0.793) with each other for image-based PASI scoring of the trunk region. ICCs between the CNN and real-life scores were slightly higher for erythema (0.616 vs. 0.558), induration (0.580 vs. 0.573) and area scoring (0.793 vs. 0.694) than image-based scoring by physicians. Physicians slightly outperformed the CNN on desquamation scoring (0.580 vs. 0.589).ConclusionsConvolutional Neural Networks have the potential to automatically and objectively perform image-based PASI scoring at an anatomical region level. For erythema, desquamation and induration scoring, CNNs performed similar to physicians, while for area scoring CNNs outperformed physicians on image-based PASI scoring.
| S-EPMC9298301 | biostudies-literature
Project description:BackgroundIn practice, the goal of treatment for patients with psoriasis is to achieve almost clear or clear skin and maintain disease control, regardless of baseline disease severity. However, identifying absolute Psoriasis Area and Severity Index (PASI) values for new treatment goals is challenging, as most clinical trials report relative PASI 50, 75, 90 or 100 improvements but rarely absolute PASI values achieved.ObjectiveOur objective was to illustrate a statistical conversion method that was developed to derive absolute PASI values from available clinical trial data on relative PASI improvements. The results of network meta-analyses (NMAs) based on these derived data were then compared with those of NMAs based on the corresponding relative PASI improvement data for selected biologics for moderate-to-severe psoriasis.MethodsThe PASI statistical conversion method was applied to relative PASI improvement data for 11 biologic treatment regimens and placebo at 12 weeks using data from 50 published studies. The respective proportions of patients reaching absolute PASI values ≤1, 2, 3 or 5 were then calculated. Frequentist NMAs (Rücker method) were subsequently used to compare efficacy results across relative and absolute PASI data.ResultsThe ranking of included treatment regimens for patients achieving absolute PASI 0 to 8 was aligned with results for relative PASI scores (from 100 to 60) at end of induction therapy. Across the range of PASI scores considered, the most effective treatment regimens based on both absolute and relative PASI NMAs were brodalumab 210 mg every 2 weeks and ixekizumab 80 mg every 2 weeks, followed by guselkumab 100 mg every 8 weeks and risankizumab 150 mg every 12 weeks.ConclusionData generated using this mathematical model will be useful to inform ongoing scientific discussions on treatment goals in the absence of primary absolute PASI data for all available treatments for moderate-to-severe plaque psoriasis.
| S-EPMC8248394 | biostudies-literature
Project description:Objective:To determine the measurement properties of the Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) and the paediatric adaptation of the Skindex29 (pSkindex27) when used in childhood-onset SLE (cSLE). Methods:Patients with mucocutaneous involvement of cSLE were evaluated at the study entry and 6 months later. Besides the CLASI and pSkindex27, the Pediatric Quality of Life Inventory Generic Core scale (PedsQL-GC), its Rheumatology Module (PedsQL-RM), the SLE Disease Activity Index (SLEDAI) and the SLE Damage Index (SDI) were completed. Results:The CLASI and pSkindex27 had high internal consistency (both Cronbach ? >0.82). Children were able to complete the pSkindex27, with self-report and caregiver proxy-reports showing excellent agreement (intraclass correlation coefficient=0.97). The CLASI Activity Score (CLASI-A) was strongly correlated with the mucocutaneous domain score of the SLEDAI as was the CLASI Damage Score (CLASI-D) with that of the SDI (both: Spearman correlation coefficients (rs) >0.68). pSkindex27 summary scores were moderately correlated with those of the PedsQL-GC and PedsQL-RM (all: rs >|0.51|), the CLASI-A and CLASI-D (both: rs > 0.64), respectively. Patients who experienced a >50% improvement of the CLASI-A between study visits had significantly higher PedsQL-GC and pSkindex27 scores than those without improvement of mucocutaneous features. Conclusion:Both CLASI and pSkindex27 are useful assessment tools in cSLE, active and chronic mucocutaneous lesions and their changes over time can be measured using the CLASI and the pSkindex27 can capture the impact of mucocutaneous involvement on patient health-related quality of life.
| S-EPMC6257379 | biostudies-other
Project description:BI 730357 is investigated as an oral treatment of plaque psoriasis. We analyzed the impact of three dosage regimens on the Psoriasis Area and Severity Index (PASI) response with modeling based on phase I and II data from 109 healthy subjects and 274 patients with moderate-to-severe plaque psoriasis. The pharmacokinetics (PK) was characterized by a two-compartment model with dual absorption paths and a first-order elimination. Higher baseline C-reactive protein was associated with lower clearance and patients generally had lower clearance compared with healthy subjects. A bounded integer PK/pharmacodynamic model characterized the effect on the observed PASI. The maximum drug effect was largest for patients with no prior biologic use, smaller for patients with prior use of non-interleukin-17 inhibitors, and smallest for patients with prior interleukin-17 inhibitor use. The models allowed robust simulation of large patient populations, predicting a plateau in PASI outcomes for BI 730357 exposure above 2000 nmol/L.
| S-EPMC10272300 | biostudies-literature
Project description:IntroductionPatients with psoriasis (PsO) experience impaired health-related quality of life due to physical and psychosocial burdens. The objective of this study was to assess the correlation between change in Psoriasis Area and Severity Index (PASI) score and selected Dermatology Life Quality Index (DLQI) domain scores in patients with moderate-to-severe PsO and those with PsO and comorbid psoriatic arthritis (PsA).MethodsThis post hoc analysis of four phase 3 clinical trials included patients with moderate-to-severe PsO randomized to secukinumab 150/300 mg, etanercept, or placebo. Pairwise latent growth models were applied to assess the longitudinal correlation between change in PASI scores and changes in three DLQI domain scores (daily activities, leisure activities, and symptoms/feelings). The initial (baseline to week 12) and sustained (week > 12 to week 52) treatment exposures were analysed by population type (total, PsO only, and PsO with comorbid PsA) and treatment arm (secukinumab, etanercept, or placebo).ResultsAmong the total population (N = 2401), PASI change was positively correlated with change in each assessed DLQI domain; correlations were weak to moderate over the initial treatment exposure period (β range, 0.20-0.29; all P < 0.001) and moderate to strong over the sustained exposure period (β range, 0.63-0.69; all P < 0.001). Similar trends were observed regardless of the presence of comorbid PsA. These relationships were confirmed among patients treated with secukinumab, etanercept, or placebo.ConclusionsImprovements in PASI scores were directly moderately related to improvements in DLQI domain scores from initiation of treatment and extended over time, regardless of presence of comorbid PsA or treatment received.Clinical trial registrationERASURE (NCT01365455), FIXTURE (NCT01358578), FEATURE (NCT01555125), and JUNCTURE (NCT01636687).
| S-EPMC8322374 | biostudies-literature
Project description:ObjectiveTo develop, validate and apply a generic clinical severity index applicable to all adult patients with inflammatory bowel disease (IBD).DesignA review of the literature and an expert focus group consultation were carried out in order to draw out relevant items from existing literature. The new index was called the IBD Index (IBDEX). Standard psychometric analysis was carried out. The construct validity was assessed against biochemical markers, clinical and endoscopic indices. The new index was completed again within 6 weeks to check responsiveness and reproducibility.ResultsIBDEX was used to assess 255 adult patients with IBD (125 with Crohn's disease and 130 with ulcerative colitis), and 64 patients were re-evaluated within 6 weeks. It had good internal consistency (Cronbach's α=0.79) and correlated very well with the Harvey Bradshaw Index (r=0.94), the Simple Clinical Colitis Activity Index (r=0.92), the Mayo Clinic Index (r=0.87) and the Simple Endoscopic Score (r=0.76), all with p values <0.05. IBDEX had a moderate but positive correlation with C reactive protein (r=0.51) and erythrocyte sedimentation rate (r=0.36) p values both <0.05. The test-retest reliability was good (intraclass correlation coefficient 0.97) and responsiveness ratio was 2.27.ConclusionsIBDEX is the first properly validated Clinical Disease Severity Index in IBD. Our results showed that it is valid, reliable and reproducible and has the potential to be used in clinical practice.
| S-EPMC5369573 | biostudies-literature
Project description:Since nail psoriasis restricts the patient's daily activities, therapeutic intervention based on reliable and reproducible evaluation is critical. The Nail Psoriasis Severity Index (NAPSI) is a validated scoring tool, but its usefulness is limited by interobserver variability. This study aimed to develop a reliable and accurate NAPSI scoring tool using deep learning. The tool "NAPSI calculator" includes two parts: nail detection from images and NAPSI scoring. NAPSI was annotated by nine nail experts who are board-certified dermatologists with sufficient experience in a specialized clinic for nail diseases. In the final test set, the "NAPSI calculator" correctly located 137/138 nails and scored NAPSI with higher accuracy than the compared six non-board-certified residents: 83.9% vs 65.7%; P = 0.008 and four board-certified non-nail expert dermatologists: 83.9% vs 73.0%; P = 0.005. The "NAPSI calculator" can be readily used in a clinical situation, contributing to raising the medical practice level for nail psoriasis.
| S-EPMC11544089 | biostudies-literature
Project description:BackgroundThe product of Physician Global Assessment and Body Surface Area (PGA × BSA) is a new outcome measure for psoriasis severity and response to therapy. The objective of this study was to evaluate PGA × BSA as an alternative to Psoriasis Area and Severity Index (PASI) for psoriasis assessments.MethodsThe relationship between PASI and PGA × BSA was assessed in a post hoc analysis of pooled data from the PRISTINE (NCT00663052) and PRESTA (NCT00245960) trials in patients with moderate-to-severe psoriasis who received etanercept 50 mg/week. Data were analyzed using Spearman and intra-class correlation coefficients, effect sizes, scatterplots, Bland-Altman plots, and Kappa statistics.ResultsSpearman correlations at baseline, week 12, and week 24 were strong for PGA × BSA versus PASI (r=0.78, 0.87, and 0.90, respectively; all P<0.0001) as were intra-class correlations (0.76 [95% confidence interval 0.73-0.80], 0.80 [0.76-0.83], and 0.85 [0.82-0.87], respectively). The effect size was -1.53 for PASI and -0.94 for PGA × BSA (baseline to week 24). Scatterplots and Bland-Altman plots detected a trend across the range of measurement. Kappa statistics (at 12 and 24 weeks) between PASI50/75/90 and 50/75/90% improvement in PGA × BSA showed good agreement (0.58-0.69 at week 12 and 0.63-0.67, respectively; all P<0.0001). At baseline, the Spearman correlation coefficients were 0.96, 0.51, 0.19, and 0.17 for PGA × BSA versus BSA, PGA, Patient Global Assessment, and Dermatology Life Quality Index, respectively (all P<0.001).ConclusionPGA × BSA has advantages over PASI for measuring moderate-to-severe psoriasis; it is intuitive, sensitive, and easy to use.
| S-EPMC6181091 | biostudies-literature
Project description:Psoriasis is an immune-mediated skin disorder. Imbalance of gut microbial populations has been implicated in many diseases. We aimed to investigate whether there were differences in gut microbiota in psoriasis patients vs non-psoriasis controls and between psoriasis severity groups. 55 psoriasis patients and 27 controls were included. V3-V4 regions of the 16S rRNA gene of fecal samples were analyzed using Illumina MiSeq. Bioinformatic analysis was performed. We found changes in gut microbiome composition depending on their psoriasis status as determined by weighted unifrac (p < 0.05), in particular an increase in Firmicutes and depletion of Bacteroidetes in psoriasis patients. Additionally, the Faecalibacterium and Blautia genus were higher in psoriasis patients while Bacteroides and Paraprevotella in non-psoriasis controls (p < 0.05, LDA score > 2). Moderate-to-severe psoriasis patients had lower biodiversity than mild psoriatic patients (p = 0.049). No differences for beta-diversity were found. We developed a Psoriasis-Microbiota Index (PMI), which discriminated among psoriasis patients and controls with sensitivity: 0.78 and specificity: 0.79. Furthermore, we performed a meta-analysis with published data to validate this index. We demonstrated gut dysbiosis in psoriasis patients, suggesting a role in psoriasis pathophysiology. Furthermore, we developed a PMI with the potential to discriminate between psoriasis patients and controls across different populations, which could be used as a biomarker in the clinical practice.
| S-EPMC7391695 | biostudies-literature