怀孕和哺乳期关联的关节骨质疏松症:系统性审查
Madison L Weckerly1, Cailan L Feingold2, Naitik K Singh2
1New York Medical College, New York, USA. mweckerl@student.nymc.edu.
Calcified tissue international
|February 12, 2026
概括
怀孕和哺乳期关联的部骨质疏松症 (PLO) 是罕见但严重的. 本综述强调了PLO的症状发作,传递方法和治疗方法,强调了进一步研究的必要性.
科学领域:
- 产科和妇科 产科和妇科
- 整形外科 整形外科 整形外科
- 内分泌学 在内分泌学.
背景情况:
- 怀孕和哺乳期涉及显著的代谢变化.
- 怀孕和哺乳相关的骨质疏松症 (PLO) 是一种罕见的疾病,导致骨矿物质密度下降.
- 这是第一个专注于部PLO的系统性审查.
研究的目的:
- 系统地审查关于影响部的怀孕和哺乳相关骨质疏松症 (PLO) 的现有文献.
- 分析患者的人口统计,临床表现,输送方法和部PLO的治疗策略.
主要方法:
- 在 Embase,PubMed 和 Web of Science 的综合文献搜索.
- 包括关于部PLO的孕妇患者的案例研究和案例系列.
- 从64项研究中提取数据,共计149例患者病例.
主要成果:
- 患者平均年龄为33.5岁;平均BMI为26.5kg/m2.
- 症状发作发生在50%的怀孕期间 (69%的怀孕期,25%的怀孕期).
- 剖腹产率 (44%) 比全国平均水平 (32.1%) 高;治疗包括修改的承重,维生素D/酸和手术.
结论:
- 部PLO主要发生在怀孕期间,可能会使诊断和护理复杂化.
- 在PLO患者中剖腹产率较高,因此需要进一步研究对孕产妇和胎儿健康的影响.
- 需要进一步研究PLO病例中代谢疾病的作用.
相关概念视频
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.6K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Random and Systematic Errors
15.3K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.3K
Systematic Sampling Method
13.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.4K
Propagation of Uncertainty from Systematic Error
1.5K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K
Systematic Error: Methodological and Sampling Errors
11.1K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.1K


