Evidence Hub

Integrative personalized medicine care for adjustment disorder of a post-COVID-19 patient: A CARE-compliant case report

Moon WK, Jeong JY, Park SW, Yun SY, Lee E, Shin S

Medicine, 2024

1 citation

Abstract

Rationale: Depression is a common symptom in post-coronavirus disease 2019 (COVID-19) patients, which can be diagnosed with post-COVID-19 depression or adjustment disorder (AD) of post-COVID-19 syndrome. Recently, there have been reports of treating post-COVID-19 syndrome with herbal interventions. However, there are no studies of AD of post-COVID-19 syndrome treated with an integrative approach. This is a CARE-compliant case report of a patient diagnosed with AD of post-COVID-19 syndrome and improved with integrative personalized medicine care (IPMC).

Patient concerns: An 84-year-old female patient presented symptoms of depression, insomnia, palpitations, and dyspepsia after COVID-19 diagnosis.

Diagnoses: The patient was diagnosed with AD due to COVID-19 according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.

Interventions: The patient was treated with the IPMC approach: conventional Western drugs for symptom improvements with herbal medicine, acupuncture, and moxibustion therapies of traditional Korean medicine to enhance her general conditions.

Outcomes: Depression, insomnia, palpitations, dyspepsia, and overall quality of life were assessed through various questionnaires before and after treatment. Scores notably decreased across depression scales, and insomnia severity improved significantly. After treatment, gastrointestinal symptoms vanished, and autonomic nervous system balance improved. Quality of life metrics also showed remarkable…

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free