デングウイルス血清型とその重症度相関:病院ベースの観察研究
1Department of Microbiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India; Department of Microbiology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Enfermedades infecciosas y microbiologia clinica (English ed.)
|February 7, 2026
まとめ
デングウイルス2型(DENV-2)は、インド北部における重症デングおよび死亡率と強く関連している。DENV血清型の特定と検査マーカーは、重症デング症例の管理に役立つ。
科学分野:
- ウイルス学、感染症、公衆衛生
背景:
- デングウイルス(DENV)感染は、臨床的重症度が様々である。
- 特定のDENV血清型が疾患の転帰に影響を与える可能性がある。
- 臨床管理のためには、血清型と疾患の相関関係の理解が不可欠である。
研究 の 目的:
- 入院患者における循環DENV血清型の特定。
- DENV血清型と臨床転帰との関連性の評価。
- 重症デングおよび死亡率の予測因子の決定。
主な方法:
- 356件の検査で確認されたデング熱患者の後ろ向き横断研究。
- ネストされた逆転写ポリメラーゼ連鎖反応(nested RT-PCR)を用いた血清型別。
- 人口統計学的、臨床的、生化学的データの分析。相対リスク分析。
主要な成果:
- DENV-2が主要な血清型(71.2%)であり、次いでDENV-3(26.9%)であった。
- DENV-2感染で最も高い割合を示し、患者の28.8%に重症デングが発生した。
- DENV-2は、血漿漏出(RR=24.73)および死亡率(21.6%)と有意に関連していた。
結論:
- DENV-2は、この地域における重症デングおよび死亡率に関連する主要な血清型である。
- 早期の血清型別と同定および検査パラメータのモニタリングにより、リスク層別化が改善される。
- 本研究結果は、デング熱のサーベイランスと公衆衛生戦略に影響を与える。
関連する概念動画
Hospitals-II
1.2K
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
Nurses that work in...
1.2K
Hospitals-I
1.7K
Hospitals offer medical and surgical care to the sick and injured, along with accommodation while they recover. At the same time, they also provide outpatient, emergency, psychiatric, and rehabilitation services to meet various community needs. In addition to providing medical care, hospitals also act as hubs for medical research and training. Hospitals use clinical procedures and evidence-based practice standards to deliver patient care. To deliver safe and efficient care, a nurse must stay up...
1.7K
Observational Studies
11.1K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
11.1K
Correlations
36.4K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.4K
Correlation and Causation
42.9K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.9K
Correlation
15.2K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.2K


