AI Article Synopsis

  • The study aimed to create a user-friendly prediction nomogram for the survival chances of elderly patients (65+) suffering from hypertensive intracerebral hemorrhage (HICH), as previous reports on this topic were limited.
  • Data from 204 patients, including a significant number over 80 years old, revealed that larger hematoma volumes increased mortality risk, while better GCS scores at admission were linked to improved survival outcomes at both 7 and 90 days.
  • The developed nomogram was found to be accurate and could help neurosurgeons assess patient prognosis and inform families about treatment options.

Article Abstract

Background: Given that limited reports have described the survival and risk factors for elderly patients with hypertensive intracerebral hemorrhage (HICH), we aimed to develop a valid but simple prediction nomogram for the survival of HICH patients.

Methods: All elderly patients ≥65 years old who were diagnosed with HICH between January 2011 and December 2019 were identified. We performed the least absolute shrinkage and selection operator (Lasso) on the Cox regression model with the R package glmnet. A concordance index was performed to calculate the nomogram discrimination; and calibration curves and decision curves were graphically evaluated by depicting the observed rates against the probabilities predicted by the nomogram.

Results: A total of 204 eligible patients were analyzed, and over 20 % of the population was above the age of 80 (65-79 years old, n = 161; 80+ years old, n = 43). A hematoma volume ≥13.64 cm3 was associated with higher 7-day mortality (OR = 6.773, 95 % CI = 2.622-19.481; p < 0.001) and higher 90-day mortality (OR = 3.955, 95 % CI = 1.611-10.090, p = 0.003). A GCS score between 13 and 15 at admission was associated with a 7-day favorable outcome (OR = 0.025, 95 % CI = 0.005-0.086; p < 0.001) and a 90-day favorable outcome (OR = 0.033, 95 % CI = 0.010-0.099; p < 0.001).

Conclusions: Our nomogram models were visualized and accurate. Neurosurgeons could use them to assess the prognostic factors and provide advice to patients and their relatives.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590796PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e20781DOI Listing

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