Evidence map›Paper›PMID 38966029›Full record

ArticleActa clinica Croatica2023

CHARACTERISTICS AND TREATMENT OUTCOMES OF UROLOGIC PATIENTS ADMITTED TO THE INTENSIVE CARE UNIT, OSIJEK UNIVERSITY HOSPITAL CENTER.

Ana Cicvarić, Josipa Glavaš Tahtler, Oliver Pavlović, Ivana Mikić, Ivan Kelrajter, Slavica Kvolik

Abstract read
In one paragraph

Article in Acta clinica Croatica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ana CicvarićDepartment of Anesthesiology, Resuscitation, and ICU, Osijek University Hospital Center, Osijek, Croatia.
Josipa Glavaš TahtlerDepartment of Anesthesiology, Resuscitation, and ICU, Osijek University Hospital Center, Osijek, Croatia.
Oliver PavlovićFaculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Ivana MikićFaculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Ivan KelrajterDepartment of Anesthesiology, Resuscitation, and ICU, Osijek University Hospital Center, Osijek, Croatia.
Slavica KvolikDepartment of Anesthesiology, Resuscitation, and ICU, Osijek University Hospital Center, Osijek, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The postoperative care unit at the Department of Urology has significantly improved treatment of patients undergoing surgical procedures and reduced admission of urologic patients to the Intensive Care Unit (ICU). We examined the characteristics of urologic patients, time on mechanical ventilation, most common complications, and mortality in the period from January 2017 to March 2022. A total of 84 admissions to ICU were recorded, accounting for 1.5% of all patients having undergone surgical, therapeutic or diagnostic interventions under general or regional anesthesia at the Department of Urology. The most common reasons for admission to ICU were respiratory failure (79 patients), hemodynamic instability, and bleeding. The median time on mechanical ventilation was 9.7 [2.4-58.2] hours in urology patients vs. 6 [3-14.7] hours in the rest of surgical ICU patients (p=0.058). Hypertension and renal failure were more common in urologic than in the rest of surgical ICU patients (p<0.05). The overall mortality of urologic patients was lower than in the rest of surgical ICU patients (10.7% vs. 18.99%, p=0.08) but the difference did not reach statistical significance. Independently of the lower mortality, improvements in the outcome of urologic patients admitted to the ICU are feasible. Early identification of patients at risk of infections, postoperative respiratory failure, cardiovascular incidents, and bleeding may further reduce mortality and improve outcomes.

Indexed as

Intensive Care UnitsRespiration, ArtificialAdultAgedFemaleHospital MortalityHospitals, UniversityHumansMaleMiddle AgedPostoperative ComplicationsRespiratory InsufficiencyRetrospective StudiesTreatment OutcomeUrologic DiseasesCardiopulmonary resuscitationIntensive care unitMechanical ventilation, Critical care outcomesUrologic surgical procedures

Identifiers

PMID38966029
PMCPMC11221221

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.