Machine Learning Models in Sepsis Outcome Prediction for ICU Patients: Integrating Routine Laboratory Tests-A Systematic Review.

Sepsis presents significant diagnostic and prognostic challenges, and traditional scoring systems, such as SOFA and APACHE, show limitations in predictive accuracy. Machine learning (ML)-based predictive survival models can support risk assessment and treatment decision-making in the intensive care unit (ICU) by accounting for the numerous and complex factors that influence the outcome in the septic patient. A systematic literature review of studies published from 2014 to 2024 was conducted using the PubMed database.

[Marjolin's ulcer on burn scar, a curable but neglected disease].

We discuss 9 consecutive carcinomas developed on postburn scars. Our interest was focused on surgery, recurrence, metastasis and long-term survival. The delay between burn trauma and the first clinical manifestation was 25-63 years.

[A microsurgical patient, a procedural dilemma].

We are presenting a case which had five operations with the central point being the microsurgery. The patient is admitted in our unit 48 ours after sustaining a complex trauma of the left forearm with cvasicomplete destruction of the volar muscles, defects on cubital and radial vasculo-nervous axes and the median nerve. Upon arrival we performed the staged surgical debridement, ligature of the radial and ulnar vessels, anchoring of the ends of the nerves, forearm volar and dorsal fasciotomies, followed by skin grafting.

[The treatment of superficial burns of the hands under controlled microclimate conditions].

In the treatment of the superficial burns of the hands, since October 1996, we have used exclusively the method of the controlled microclimate, verified in different variants starting early sixties. At the end of the usual primary wound treatment, the hand covered with the chosen topic is an ordinary new polyethylene bag. The bags are not pre-sterilized but the test showed no pathogen germs.

Cell line specific radiosensitizing effect of zalcitabine (2',3'-dideoxycytidine).

The potential of zalcitabine (ddC) to act as an ionizing radiation response modifier was tested on exponentially growing human cancer cells in vitro. Two human cell lines, WiDr (colon) and MCF-7 (breast) were exposed to ddC at 10 microM concentration for various lengths of time (18, 24, 48 and 72 h). On the WiDr cell line the dual effect of concentration and duration of exposure prior to irradiation was investigated.

Azidothymidine (AZT) as a potential modifier of radiation response in vitro.

The potential effect of AZT as a thymidine analogue on radiation response in vitro was investigated. Two human cell lines (WiDr and HeLa) were used. The effect of 10 microM AZT on exponentially growing cells was studied after different exposure times (24, 48 and 72 h).