메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
배치운 (가톨릭대학교)
저널정보
전남대학교 의과학연구소 전남의대학술지 전남의대학술지 제56권 제3호
발행연도
2020.1
수록면
157 - 165 (9page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Antipsychotics have been utilized as the standard treatment for schizophrenia regardless of illness phase where antipsychotic monotherapy (APM) is routinely recommended as the gold standard rather than antipsychotic polypharmacy (APP). However, approximately 20 to 40% of patients with schizophrenia do not respond to APM based on randomized controlled clinical trials and large practical clinical trials indicating that the subgroup of patients with schizophrenia would need differential treatment approaches beyond traditional treatment strategies such as APM. Numerous studies have supported the use of APP in particular for patients with certain clinical situations including: failure to show efficacy or tolerability from treatment with APM, need for different treatment for targeting specific symptom domains, severe illness, failure to treatment with clozapine, skepticism about following treatment guidelines, or cross titration periods. Furthermore, recent large cohort studies and practical clinical trials have proposed more benefits of APP rather than APM in terms of rehospitalization, mortality, and specific symptoms. APP has recently become more widely utilized and recognized as one of the next treatment strategies to clinicians for patients with schizophrenia. Some experts have already proposed the revision of treatment guidelines incorporating APP as evidence-based treatment option for certain patients with schizophrenia. Taken together, APP now deserves an evidence-based and acceptable treatment strategy, not an empirical or preferential treatment approach for treatment of schizophrenia in contemporary clinical practice.

목차

등록된 정보가 없습니다.

참고문헌 (67)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0