UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000054580
Receipt number R000062368
Scientific Title Development of a prediction model of infectious disease among patients with undiagnosed fever: A single-hospital-based retrospective study
Date of disclosure of the study information 2024/06/05
Last modified on 2026/01/01 21:12:25

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Basic information

Public title

Development of a prediction model of infectious disease among patients with undiagnosed fever: A single-hospital-based retrospective study

Acronym

Development of a prediction model of infectious disease among patients with undiagnosed fever: A single-hospital-based retrospective study

Scientific Title

Development of a prediction model of infectious disease among patients with undiagnosed fever: A single-hospital-based retrospective study

Scientific Title:Acronym

Development of a prediction model of infectious disease among patients with undiagnosed fever: A single-hospital-based retrospective study

Region

Japan


Condition

Condition

fever of unknown origin

Classification by specialty

Medicine in general Gastroenterology Hepato-biliary-pancreatic medicine
Cardiology Pneumology Hematology and clinical oncology
Neurology Clinical immunology Infectious disease
Dermatology Urology Emergency medicine
Adult

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

Serum ferritin levels may show a possible disease specificity depending on their value and may be useful in differentiating the causative disease of fever. Indeed, one report has shown that the AUC of serum ferritin levels on admission to hospital for infectious diseases was 0.75. However, another report has shown that the AUC of serum ferritin levels alone for infectious diseases was as low as 0.64. These suggest that serum ferritin levels alone may not be sufficient for predicting infectious diseases. Several models have been proposed to differentiate infectious and non-infectious diseases as causes of unknown fever. One of these models includes serum ferritin levels as a predictive factor. However, many other factors are required, such as gender, shivering chills, LDH, procalcitonin levels, ANA, presence of lymphadenopathy or pleural ascites, hepatosplenomegaly and interferon gamma release assay, which do not provide rapid results. Another model consists of three factors: serum amyloid protein levels and neutrophil percentage in addition to serum ferritin levels. However, serum amyloid protein levels is tested less frequently in routine practice in Japan. Therefore, it is desirable to develop a simple model with items that can be more easily tested and rapidly identified. In the present study, we aimed to develop a model for predicting infectious diseases using only blood test items commonly measured on admission, including serum ferritin levels.

Basic objectives2

Safety,Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

The AUC, shrinkage coefficient and stratified likelihood ratio of the predictive model for infectious diseases to be constructed in this study.

Key secondary outcomes



Base

Study type

Observational


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

18 years-old <=

Age-upper limit

120 years-old >=

Gender

Male and Female

Key inclusion criteria

Patients aged 18 years or older who were admitted to Saga University Hospital between 1 January 2013 and 31 December 2022 and had ICD-10 code R-50-9 (fever of unknown cause) during their hospital admission were included.

Key exclusion criteria

-Cases in which serum ferritin levels have not been measured from the day before admission to three days after admission
-Cases in which the diagnosis was definitly confirmed before admission
-Cases in which chest radiographs, blood tests and urinalysis were not performed at the time of admission

Target sample size

143


Research contact person

Name of lead principal investigator

1st name Shun
Middle name
Last name Yamashita

Organization

Faculty of Medicine, Saga University

Division name

Education and Research Center for Community Medicine

Zip code

849-8501

Address

5-1-1 Nabeshima, Saga, Japan

TEL

0952342249

Email

sy.hospitalist.japan@gmail.com


Public contact

Name of contact person

1st name Shun
Middle name
Last name Yamashita

Organization

Saga University Hospital

Division name

Department of General Medicine

Zip code

849-8501

Address

5-1-1 Nabeshima, Saga, Japan

TEL

0952343238

Homepage URL


Email

sy.hospitalist.japan@gmail.com


Sponsor or person

Institute

Department of General Medicine, Saga University Hospital, Japan

Institute

Department

Personal name



Funding Source

Organization

Japanse Society of Hospital General Medicine

Organization

Division

Category of Funding Organization

Other

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Clinical Research Center, Saga University Hospital

Address

5-1-1 Nabeshima, Saga 849-8501, Japan

Tel

0952343400

Email

kenkyu-shinsei@ml.cc.saga-u.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2024 Year 06 Month 05 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled

143

Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

No longer recruiting

Date of protocol fixation

2024 Year 02 Month 02 Day

Date of IRB

2024 Year 02 Month 02 Day

Anticipated trial start date

2024 Year 02 Month 03 Day

Last follow-up date

2027 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded

2026 Year 01 Month 30 Day


Other

Other related information

The following will be investigated in the target cases: age; sex; admission and discharge dates; number of days in hospital; whether there was an emergency transfer; mortality rate during hospitalisation; rate of various tests performed for diagnosis (blood culture, sputum culture, spinal fluid culture, echocardiography, head CT scan, head MRI scan, chest X-ray, chest contrast CT scan, spine MRI, upper gastrointestinal endoscopy, lower gastrointestinal endoscopy, cytology, pathology, determination of TB interferon-gamma and syphilis test, beta-D glucan levels); blood tests on admission (white blood cell count, neutrophil fraction, platelet count, C-reactive protein, D dimmer, FDP, lactate dehydrogenase level, Albumin level, Total bilirubin level, aspartate aminotransferase level, alanine aminotransferase level, blood urea nitrogen level, creatinine level, Sodium level (blood urea nitrogen level, creatinine level, Sodium level, Potasium level, Chrolide level, serum ferritin level). The proportion of antimicrobials administered prior to blood cultures being taken should also be investigated, unless the patient has been taking antimicrobials for a long period of time, e.g. for chronic bronchitis. Neutrophil fractions are included in the survey as they have been reported to be useful in previous studies. For serum ferritin levels, measurements from the day before admission to within three days of admission should be adopted, as it is difficult to measure serum ferritin levels at night and on holidays. Factors affecting serum ferritin levels, such as the presence or absence of iron administration and transfusion of concentrated red blood cells, will also be investigated.


Management information

Registered date

2024 Year 06 Month 05 Day

Last modified on

2026 Year 01 Month 01 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000062368