Person:
Villaverde González, Ramón

Profile Picture
Name
Villaverde González, Ramón
publication.page.department
Universidad de Murcia. Departamento de Medicina
Repository logoRepository logoRepository logoRepository logoRepository logo

Filters

20241
1
1
Reset filters

Settings

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Publication
    Open Access
    Clinical prediction scale approach derived from a retrospective study to reduce the number of urgent, low-value cranial CT scans
    (Springer, 2024-07-26) Plasencia Martínez, Juana María; Otón González, Elena; Sánchez Canales, Marta; Ortiz Mayoral, Herminia; Cotillo Ramos, Estefanía; Casado‑Alarcón, Nuria Isabel; Ballesta Ruiz, Mónica; Villaverde González, Ramón; García Santos, José María; Ciencias Sociosanitarias; Facultades de la UMU::Facultad de Enfermería
    Purpose: Fifty percent of cranial CT scans performed achieve no benefit and entail risks. Our aim is to determine the yield of non-traumatic urgent cranial-CT and develop a pretest clinical probability scale approach. Methods: Adult patients seen in our emergency department between 2017–2021 and referred for urgent cranial-CT for non-traumatic reasons were retrospectively recruited and randomly selected. Presenting complaint (PC), demographic variables, Relevant radiological findings (RRF) on the urgent cranial-CT and Relevant clinical-radiological findings (RCRF: admission need or RRF detection on the urgent cranial-CT or cranial CT/MRI in the following three months) were recruited. Results: We recruited 702 patients, with median age 62 [47–76] years, 363 (51.7%) females. RCRF were observed in 404 (57.55%); of these, 352 (50.1%) required admission. RRF were detected in 190 (27.06%): 36 acute ischemic and 27 acute hemorrhagic lesions, 115 masses, 9 edema, and 27 hydrocephalus. Predictive PC for urgent cranial-CT were motor, speech, sensory deficits, sudden alteration of mental status, epileptic seizure, cognitive impairment, neurological symptoms in cancer patients, acute headache without a prior history and with meningeal signs; nausea, vomiting, or hypertensive crisis; visual deficits, and dizziness. This algorithm provided sensitivity, specificity, positive predictive value, and negative predictive value (NPV, 95%CI in brackets) of 92.1% (89–94.5%), 27.5% (22.5–33.0%), 63.3% (59.2–67.2%), and 71.9% (62.7–80.0%), to diagnose RCRF, and 97.4% (93.4–99.1%), 21.3% (17.8–25.1%), 31.5% (27.7–35.4%), and 95.6% (90.1–98.6%), to diagnose RRF. In patients not requiring admission (n = 350), the NPV for RRF was 98.8% (93.6–100%); the negative likelihood ratio 0.08 (0.01–0.57), and sensitivity remained at 97.8% (82.2–99.9%). Applying it would have avoided performing 85/350 urgent cranial-CT (24.29%). To find one RRF, we would have gone from performing 7.8 (350/45) to 5.9 (265/45) CTs, failing to diagnose 1/45 (2.2%) RRF. Conclusions: This proposed clinical scale could potentially decrease 24% of urgent cranial-CT.
Ir a Estadísticas