Unique ID issued by UMIN | UMIN000036025 |
---|---|
Receipt number | R000040875 |
Scientific Title | Applicability of in-hospital mortality prediction score for patients with hypothermia in a Japanese community hospital setting |
Date of disclosure of the study information | 2019/02/27 |
Last modified on | 2020/08/15 17:38:26 |
Applicability of in-hospital mortality prediction score for patients with hypothermia in a Japanese community hospital setting
Applicability of in-hospital mortality prediction score for patients with hypothermia
Applicability of in-hospital mortality prediction score for patients with hypothermia in a Japanese community hospital setting
Applicability of in-hospital mortality prediction score for patients with hypothermia
Japan |
hypothermia
Medicine in general | Emergency medicine | Adult |
Others
NO
This study aims to clarify the accuracy of in-hospital mortality prediction scores for patients with hypothermia in a Japanese community hospital setting.
Others
accuracy of the in-hospital mortality prediction
30 day mortality after admission
Observational
20 | years-old | <= |
100 | years-old | > |
Male and Female
Patients aged 20 and more than 20 with principal diagnosis of hypothermia admitted to our hospital were included in the study.
Hypothermia was defined as core temperature less than 35 degrees Celsius, based on the definition by the International Classification of Diseases, Tenth Revision (ICD-10).
Patients without data on age, blood pressure, pH, or creatinine level. Patients with any incidences of mental confusion.
39
1st name | Naoto |
Middle name | |
Last name | Ishimaru |
Akashi Medical Center
Department of General Internal Medicine
6740063
Akashi
0789361101
maru-tkb@umin.ac.jp
1st name | Naoto |
Middle name | |
Last name | Ishimaru |
Akashi Medical Center
Department of General Internal Medicine
6740063
743-33 Yagi, Ohkubo-cho, Akashi, Hyogo 674-0063, Japan
0789361101
maru-tkb@umin.ac.jp
Akashi Medical Center
None
Other
Akashi Medical Center
743-33 Yagi, Ohkubo-cho, Akashi, Hyogo 674-0063, Japan
0789361101
kawata@amc1.jp
NO
2019 | Year | 02 | Month | 27 | Day |
Published
https://onlinelibrary.wiley.com/doi/full/10.1002/jgf2.323
69
We recruited 69 patients, 67 of which had analyzable data. The C-statistics of the in-hospital mortality prediction score was 0.703 (95% confidence interval, 0.55-0.84) for thirty-day survival prediction. After adjustment of the cutoff point of each item with ROC analysis and selection of the variants, the C-statistics of the in-hospital mortality prediction score rose to 0.81 (95% confidence interval, 0.69-0.92).
2020 | Year | 08 | Month | 15 | Day |
2020 | Year | 04 | Month | 27 | Day |
Completed
2019 | Year | 02 | Month | 20 | Day |
2019 | Year | 02 | Month | 26 | Day |
2019 | Year | 02 | Month | 28 | Day |
2019 | Year | 12 | Month | 30 | Day |
Using medical records from initial hospital visits, we retrospectively calculated in-hospital mortality prediction scores along with discriminative value for in-hospital mortality.
Severity of hypothermia was further defined as either mild (between 32 degrees Celsius and 35 degrees Celsius), moderate (28 degrees Celsius to 32 degrees Celsius) or severe (less than 28 degrees Celsius) following classifications used by Durrer et al.
Demographic data, the presence of bacteremia, blood pressure, pH, creatinine level and any incidences of mental confusion were obtained from patient's charts.
2019 | Year | 02 | Month | 27 | Day |
2020 | Year | 08 | Month | 15 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000040875