List of candidate features in APAT study for predicting remission.

NIAID Data Ecosystem2026-05-01 收录

数据链接：

https://figshare.com/articles/dataset/List_of_candidate_features_in_APAT_study_for_predicting_remission_/25501653 数据链接链接失效反馈

官方服务：

资源简介：

List of candidate features in APAT study for predicting remission.

创建时间：

2024-03-28

Comparison of the anthropometric and biochemical characteristics of remitters and non-remitters.

疾病缓解预测

生物标志物分析

Comparison of the anthropometric and biochemical characteristics of remitters and non-remitters.

Figshare2017-05-02 更新20

Main baseline characteristics of the men with non remittent asthma and with remittent asthma at follow-up and adjusted Odds Ratios* (CI95%) for the effects of these variables reported at baseline on asthma remission at follow-up.

哮喘研究

疾病缓解预测

*Also adjusted for the type of interview (telephone vs face to face).£ Overall adjusted p-value for smoking = 0.5896.§IQR, Interquartile Range: (1st quartile–3rd quartile).‡Overall adjusted p-value fo

Figshare2015-12-02 更新00

Number of subjects with asthma and asthma remissions, crude incidence and risk ratios (RR) of asthma remission adjusted by sex, presence of hay fever, age at onset, birth cohort, and time since onset.

哮喘流行病学

疾病缓解预测

CI: confidence intervalNumber of subjects with asthma and asthma remissions, crude incidence and risk ratios (RR) of asthma remission adjusted by sex, presence of hay fever, age at onset, birth cohort

Figshare2015-12-03 更新00

List of candidate features in APAT study for predicting remission.

疾病缓解预测

临床特征选择

List of candidate features in APAT study for predicting remission.

Figshare2024-03-28 更新10

Table 1_Transitioning from Lupus Low Disease Activity State to remission in systemic lupus erythematosus: real-world evidence.docx

风湿免疫学

疾病缓解预测

ObjectivesTo identify predictors and barriers to achieving remission in systemic lupus erythematosus (SLE) patients after attaining Lupus Low Disease Activity State (LLDAS). MethodsThis study included

NIAID Data Ecosystem00

List of candidate features in APAT study for predicting remission.

资源简介：

相关数据集