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1
Objectives: To identify
predictive
factors
for mortality caused by HyOb in children.
2
Patients with these
predictive
factors
may require a prolonged course of therapy.
3
Methods: We conducted a literature review to identify
predictive
factors
of frailty.
4
Univariate and multivariate analysis were used to assess
predictive
factors
of LNM.
5
Univariate and multivariate analyses were carried out to determine the
predictive
factors
.
6
Purpose: To assess how often non-infectious anterior scleritis remits and identify
predictive
factors
.
7
Proteomics methods were used to search for
predictive
factors
or combinations of factors.
8
The secondary end point was to find
predictive
factors
of success of DPe.
9
Regression models were used to identify
predictive
factors
for HCRU and healthcare costs.
10
Logistic regression models were constructed to identify
predictive
factors
of primary technical success.
11
Logistic regression analysis was used to identify
predictive
factors
for mortality after PICH.
12
There have been few reports on
predictive
factors
for biochemical response.
13
Male gender, tonsillectomy, and body mass index were significant
predictive
factors
.
14
This study aimed to identify
predictive
factors
associated with prognostic benefits of gefitinib.
15
Univariate and multivariate analysis were used to analyze the
predictive
factors
for TLI.
16
Larger studies will be required to further elucidate etiologic mechanisms and
predictive
factors
.
predictive
factors
predictive
factor