Dermatitis, Atopic

Topical Therapies for Atopic Dermatitis

Rowan Hutchins — Sun, 12 Nov 2023 21:20:37 +0000

Date Added:

November 12, 2023

Journal/Publication:

JAMA

Publisher:

AMA

Publication Date:

October 27, 2023

URL:

Topical Therapies for Atopic Dermatitis

Type:

Meta-analyses, Reviews, and Guidelines

Format:

Article

DOI (1):

10.1001/jama.2023.17719

Keywords

Atopic Dermatitis

guidelines

allergy and clinical immunology

PMID (1):

37889498

MeSH

Dermatitis, Atopic

dermatology

Practice Guidelines as Topic / standards*

clinical decision-making

A summary of current topical treatment options for atopic dermatitis. James W. Mold, MD, MPH

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Atopic dermatitis (AD) is a chronic inflammatory skin condition affecting approximately 10% of the US population. AD often occurs as a childhood disease in conjunction with allergies and asthma, but it can also persist into or arise de novo in adulthood. AD negatively affects quality of life, social interactions, and work productivity, with annual US health care costs exceeding $5.3 billion.1 The current guideline provides recommendations on the management of AD in adults with both nonpharmacologic and pharmacologic topical therapies

Author/s:

Amy Z. Xu, Jason T. Alexander

Incidence, co-occurrence, and evolution of long-COVID features: A 6-month retrospective cohort study of 273,618 survivors of COVID-19

Bethie Seay — Tue, 05 Oct 2021 05:00:00 +0000

Date Added:

October 5, 2021

Journal/Publication:

PLOS Medicine

Publication Date:

September 28, 2021

Issue:

Volume:

Type:

Clinical Research Results

DOI (1):

10.1371/journal.pmed.1003773

An assessment of the epidemiology and characteristics of long COVID syndrome from nearly 275,000 linked electronic records.

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Background
Long-COVID refers to a variety of symptoms affecting different organs reported by people following Coronavirus Disease 2019 (COVID-19) infection. To date, there have been no robust estimates of the incidence and co-occurrence of long-COVID features, their relationship to age, sex, or severity of infection, and the extent to which they are specific to COVID-19. The aim of this study is to address these issues.

Methods and findings
We conducted a retrospective cohort study based on linked electronic health records (EHRs) data from 81 million patients including 273,618 COVID-19 survivors. The incidence and co-occurrence within 6 months and in the 3 to 6 months after COVID-19 diagnosis were calculated for 9 core features of long-COVID (breathing difficulties/breathlessness, fatigue/malaise, chest/throat pain, headache, abdominal symptoms, myalgia, other pain, cognitive symptoms, and anxiety/depression). Their co-occurrence network was also analyzed. Comparison with a propensity score–matched cohort of patients diagnosed with influenza during the same time period was achieved using Kaplan–Meier analysis and the Cox proportional hazard model. The incidence of atopic dermatitis was used as a negative control.

Among COVID-19 survivors (mean [SD] age: 46.3 [19.8], 55.6% female), 57.00% had one or more long-COVID feature recorded during the whole 6-month period (i.e., including the acute phase), and 36.55% between 3 and 6 months. The incidence of each feature was: abnormal breathing (18.71% in the 1- to 180-day period; 7.94% in the 90- to180-day period), fatigue/malaise (12.82%; 5.87%), chest/throat pain (12.60%; 5.71%), headache (8.67%; 4.63%), other pain (11.60%; 7.19%), abdominal symptoms (15.58%; 8.29%), myalgia (3.24%; 1.54%), cognitive symptoms (7.88%; 3.95%), and anxiety/depression (22.82%; 15.49%). All 9 features were more frequently reported after COVID-19 than after influenza (with an overall excess incidence of 16.60% and hazard ratios between 1.44 and 2.04, all p < 0.001), co-occurred more commonly, and formed a more interconnected network. Significant differences in incidence and co-occurrence were associated with sex, age, and illness severity. Besides the limitations inherent to EHR data, limitations of this study include that (i) the findings do not generalize to patients who have had COVID-19 but were not diagnosed, nor to patients who do not seek or receive medical attention when experiencing symptoms of long-COVID; (ii) the findings say nothing about the persistence of the clinical features; and (iii) the difference between cohorts might be affected by one cohort seeking or receiving more medical attention for their symptoms.

Conclusions
Long-COVID clinical features occurred and co-occurred frequently and showed some specificity to COVID-19, though they were also observed after influenza. Different long-COVID clinical profiles were observed based on demographics and illness severity.

Author summary
Why was this study done?
Long-COVID has been described in recent studies. But we do not know the risk of developing features of this condition and how it is affected by factors such as age, sex, or severity of infection.
We do not know if the risk of having features of long-COVID is more likely after Coronavirus Disease 2019 (COVID-19) than after influenza.
We do not know about the extent to which different features of long-COVID co-occur.
What did the researchers do and find?
This research used data from electronic health records of 273,618 patients diagnosed with COVID-19 and estimated the risk of having long-COVID features in the 6 months after a diagnosis of COVID-19. It compared the risk of long-COVID features in different groups within the population and also compared the risk to that after influenza.
The research found that over 1 in 3 patients had one or more features of long-COVID recorded between 3 and 6 months after a diagnosis of COVID-19. This was significantly higher than after influenza.
For 2 in 5 of the patients who had long-COVID features in the 3- to 6-month period, they had no record of any such feature in the previous 3 months.
The risk of long-COVID features was higher in patients who had more severe COVID-19 illness, and slightly higher among females and young adults. White and non-white patients were equally affected.
What do these findings mean?
Knowing the risk of long-COVID features helps in planning the relevant healthcare service provision.
The fact that the risk is higher after COVID-19 than after influenza suggests that their origin might, in part, directly involve infection with SARS-CoV-2 and is not just a general consequence of viral infection. This might help in developing effective treatments against long-COVID.
The findings in the subgroups, and the fact that the majority of patients who have features of long-COVID in the 3- to 6-month period already had symptoms in the first 3 months, may help in identifying those at greatest risk.

Author/s:

Taquet, M., Dercon, Q., Luciano, S., Geddes, J. R., Husain, M., Harrison, P. J.

Acupuncture Treatment for Symptom Management in Atopic Dermatitis: A Study Protocol for a Randomized, Participant- and Assessor-Blind, Sham-Controlled Trial

Saige Blanchard — Wed, 05 May 2021 05:00:00 +0000

Date Added:

May 5, 2021

Journal/Publication:

Evidence-based Complementary and Alternative Medicine

Publication Date:

May 2, 2019

URL:

Acupuncture Treatment for Symptom Management in Atopic Dermatitis: A Study Protocol for a Randomized, Participant- and Assessor-Blind, Sham-Controlled Trial

Type:

Clinical Research Results

Format:

Article

DOI (1):

https://doi.org/10.1155/2019/1907578

Keywords

PMID (1):

31186656

MeSH

I would never have imagined that acupuncture could help patients with atopic dermatitis, but it looks like it can.

James W. Mold, MD, MPH

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Atopic dermatitis (AD) is a chronic inflammatory skin disease with persistent itching, which impairs quality of life (QoL). Although various conventional treatments for AD exist, patients with AD often seek complementary and alternative therapies when conventional therapy has failed to relieve their AD symptoms or has had adverse effects. Acupuncture treatment may relieve AD symptoms, but controlled trials are needed to confirm this. Following our pilot study, which found that acupuncture treatment improves AD symptoms in mild-to-moderate AD patients, we will assess the effect of acupuncture treatment for symptom relief of AD using a trial with a complemented protocol. This is a two-arm, randomized, participant- and assessor-blinded, sham-controlled trial. A total of 36 mild-to-moderate AD patients will be randomly assigned in a 1:1 ratio to receive eight sessions twice weekly of either verum acupuncture (VA) or nonpenetrating sham acupuncture (SA) over four weeks. The primary outcome measured will be the change in the total Scoring Atopic Dermatitis (SCORAD) score. Secondary outcomes will be (1) changes in AD symptoms, QoL, dyspepsia symptoms, and electroencephalography (EEG) between baseline and week 4 and (2) changes in AD symptoms and QoL at baseline and at weeks 2, 4, and 8. This study will assess acupuncture treatment for the alleviation of AD symptoms in patients with mild-to-moderate AD. This clinical trial gas been registered in Korean Clinical Trial Registry (registration number: KCT0002796; date of registration: April 13, 2018).

Author/s:

Park. J. G., Park, H.J., Chae, Y., Kim, Y., Lee, H., Kim, K.