Unique ID issued by UMIN | UMIN000042518 |
---|---|
Receipt number | R000048533 |
Scientific Title | Prediction of 72-hour mortality in patients with extremely high serum C-reactive protein levels using a novel weighted average of risk scores |
Date of disclosure of the study information | 2020/11/21 |
Last modified on | 2020/11/21 18:24:58 |
Prediction of 72-hour mortality in patients with extremely high serum C-reactive protein levels using a novel weighted average of risk scores
Prediction of 72-hour mortality in patients with extremely high serum C-reactive protein levels using a novel weighted average of risk scores
Prediction of 72-hour mortality in patients with extremely high serum C-reactive protein levels using a novel weighted average of risk scores
Prediction of 72-hour mortality in patients with extremely high serum C-reactive protein levels using a novel weighted average of risk scores
Japan |
Patients with C-reactive protein levels out of40 mg/dL
Medicine in general |
Others
NO
We aimed to elucidate the risk variables for predicting 72-hour mortality among patients with extremely high CRP levels under heterogeneous pathological conditions.
Others
We primarily applied multivariate logistic regression analysis to explore the variables for predicting mortality. Furthermore, we devised a flexible method of predicting mortality by using a novel score, called weighted average of risk scores as an alternative approach.
Exploratory
Explanatory
Not applicable
The primary outcome was 72-hour mortality following the CRP test, regardless of whether the patient was hospitalized or in an outpatient setting.
Observational
18 | years-old | <= |
Not applicable |
Male and Female
Patients with very high serum C-reactive protein levels out of 40 mg/dL
We excluded 113 records metachronous duplicates from the same patient (only one highest value of CRP from each of these patients was considered), cardiopulmonary arrest at arrival, and unknown outcomes.
275
1st name | Hitoshi |
Middle name | |
Last name | Sugawara |
Saitama Medical Center, Jichi Medical University
Division of General Medicine, Department of Comprehensive Medicine 1
3308503
1-847, Amanuma, Omiya, Saitama, Saitama, Japan
+81486472111
hsmdfacp@jichi.ac.jp
1st name | Hitoshi |
Middle name | |
Last name | Sugawara |
Saitama Medical Center, Jichi Medical University
Division of General Medicine, Department of Comprehensive Medicine 1
3308503
1-847, Amanuma, Omiya, Saitama, Saitama, Japan
+81486472111
hsmdfacp@jichi.ac.jp
Jichi Medical University
JSPS KAKENHI (Grant Number: 26460916)
Non profit foundation
Saitama Medical Center, Jichi Medical University
1-847, Amanuma, Omiya, Saitama, Saitama, Japan
0486472111
m.kuroda@jichi.ac.jp
NO
2020 | Year | 11 | Month | 21 | Day |
https://www.jichi.ac.jp/center/sinryoka/n_sougou/%E7%A0%94%E7%A9%B6%E6%88%90%E6%9E%9C%E5%A0%B1%E5%91
Partially published
https://www.jichi.ac.jp/center/sinryoka/n_sougou/%E7%A0%94%E7%A9%B6%E6%88%90%E6%9E%9C%E5%A0%B1%E5%91
275
2020 | Year | 04 | Month | 01 | Day |
Completed
2020 | Year | 06 | Month | 11 | Day |
2020 | Year | 06 | Month | 11 | Day |
2020 | Year | 06 | Month | 11 | Day |
2020 | Year | 11 | Month | 21 | Day |
MLRA using Dataset-A (n = 275; 44 dead, 231 alive) was performed to determine a regression model for predicting 72-hour mortality. An optimal regression model was derived by stepwise selection of risk variables, which consisted of four risk variables: age, albumin, inorganic phosphate, and CVD as follows:
p = 1/[1+exp(-4.97+0.058(age)-0.853(ALB)+0.615(IP0.5)+1.498(CVD)]
2020 | Year | 11 | Month | 21 | Day |
2020 | Year | 11 | Month | 21 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048533