The Prognostic Value of Anion Gap in Predicting Mortality Among Patients With Acute Pulmonary Embolism
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Anion Gap.
- Who it may be relevant to
- Registry conditions: Acute Pulmonary Embolism (PE). Basic parameters: 18 years — 70 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Indonesia
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
This study aims to evaluate the prognostic value of the anion gap in predicting mortality among patients with acute pulmonary embolism. Researchers will collect information based on hospital registry as secondary data of in patient who had diagnosed as acute pulmonary embolism by using computed tomography scan (CT scan). The data consist of demographic data, clinical presentation, laboratory, and CT scan were collected from hospital registry by reviewing medical record. Then, the data was analyzed by using IBM SPSS Statistics v26.
Interventions
- Diagnostic test Anion Gap
Patient with acute pulmonary embolism who not survive after hospitalization
Primary outcome measures
- In-hospital mortality [Time frame: During hospitalization, up to 1 weeks]
Eligibility criteria
Inclusion criteria
- age: 18 - 70 years old
- patient with acute pulmonary embolism
Exclusion Criteria -- patient with history of:
- heart failure
- valvular heart disease
- chronic obstructive pulmonary disease
- congenital heart disease
- sepsis
- chronic kidney disease
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Case-control
Study locations
Indonesia · 1 center
- Dr. Kariadi Central General Hospital — Semarang
Identifiers
NCT: NCT06583616 · Undip_Kardio_1