在马萨诸塞州最初的COVID-19封锁期间,与酒精有关的住院治疗:一个中断的时间序列分析
Matthew V Ronan1,2, Kenneth J Mukamal2,3, Rahul B Ganatra1,2
1Veterans Affairs Boston Healthcare System, West Roxbury, Massachusetts.
概括
由于COVID-19的封锁,与酒精有关的住院病例显著减少. 这一趋势凸显了在公共卫生危机期间为弱势群体提供有针对性的支持的需要.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- COVID-19封锁对与酒精有关的住院治疗的影响尚未得到充分了解.
- 这项研究检查了来自美国退伍军人事务部 (VA) 马萨诸塞州的住院数据.
研究的目的:
- 为了比较最初的COVID-19封锁之前,期间和之后与酒精有关的住院治疗情况.
- 分析封锁措施与住院率之间的关联.
主要方法:
- 在VA波士顿医疗保健系统进行了中断时间序列分析.
- 数据包括2017年1月1日至2020年12月31日的所有住院病例,不包括观察状态.
- 与酒精有关的住院病例是使用国际疾病统计分类第十次修订 (ICD-10) 代码来确定的.
主要成果:
- 总共有27,508例住院病例被分析.
- 与酒精有关的住院病例从锁定前每10万个患者月的72人减少到锁定期间每10万个患者月的10人.
- 封锁后,这一比例增加到每10万个患者月的46%,在封锁期间的调整率比率为0.20,在封锁后的调整率比率为0.72,相比于封锁前的调整率.
结论:
- COVID-19封锁措施与与酒精有关的住院病例的显著减少有关.
- 在所有原因的住院治疗中观察到类似的模式.
- 建议在封锁期间主动向弱势群体进行宣传.
相关概念视频
Hypothesis Test for Test of Independence
3.6K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
3.6K
Mass Spectrometry: Alcohol Fragmentation
3.5K
Alcohols (R-OH) ionize to lose one non-bonded electron from the oxygen atom, forming molecular ions. Due to their tendency to fragment rapidly, the intensity of the molecular ion peak in the mass spectrum is weak or sometimes absent. The fragmentation patterns for alcohols occur in two ways, i.e. ⍺-cleavage and dehydration. During ⍺-cleavage, the bond at the ⍺-position adjacent to the hydroxyl group cleaves to give a resonance-stabilized cation and a radical. However,...
3.5K
Statistical Methods for Analyzing Epidemiological Data
385
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
385
Alcohols from Carbonyl Compounds: Reduction
10.5K
Reduction is a simple strategy to convert a carbonyl group to a hydroxyl group. The three major pathways to reduce carbonyls to alcohols are catalytic hydrogenation, hydride reduction, and borane reduction.
Catalytic hydrogenation is similar to the reduction of an alkene or alkyne by adding H2 across the pi bond in the presence of transition metal catalysts like Raney Ni, Pd–C, Pt, or Ru. Aldehydes and ketones can be reduced by this method, often under mild to moderate heat (25–100°C) and...
Catalytic hydrogenation is similar to the reduction of an alkene or alkyne by adding H2 across the pi bond in the presence of transition metal catalysts like Raney Ni, Pd–C, Pt, or Ru. Aldehydes and ketones can be reduced by this method, often under mild to moderate heat (25–100°C) and...
10.5K
CNS Depressants: Alcohol and Nicotine
220
Ethanol, a clear colorless alcohol, has been consumed by humans for millennia, but its effects on the body are far from benign. At lower doses, it induces decreased inhibitions and loquaciousness, leading to its social appeal. However, it can cause severe consequences at higher doses, such as coma and respiratory depression, due to its zero-order elimination kinetics. Chronic ethanol abuse wreaks havoc on multiple organ systems, particularly the CNS and the liver. Abrupt cessation of ethanol...
220
Introduction to Test of Independence
2.3K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
2.3K


