The authors sought to explore whether hypertension classification was risk factor for lobar and non-lobar hypertensive intracerebral hemorrhage (HICH) and the prognosis in patients with hematoma. This retrospective cohort study was conducted on HICH patients admitted at the First Affiliated Hospital of Soochow University. Observations with first-ever intracerebral hemorrhage (ICH) were recruited. The authors divided the brain image into three groups according to the location of ICH to predict whether there were significant differences between lobar and non-lobar ICH. A Mann-Whitney U test was used and this retrospective trial also compared the operation and mortality rates. Our cohort included 209 patients (73.7% male; median age:60.5±16.7). The overall incidence of lobar HICH was less than non-lobar HICH (24.4% vs. 68.4%), 7.2% cases of mixed HICH was included in this analysis. In a Mann-Whitney U test analyze, it indicated that there were significant differences in hypertension classification between lobar and non-lobar HICH (Z = -3.3, p<.05). And the percentage of hematoma in lobar areas with relatively slightly high blood pressure (BP) (high normal and grade 1 hypertension) accounts for 52.9% versus 30.1% in non-lobar areas. The increasing trends of the prevalent rate of lobar ICH with BP rising were not remarkable. The non-lobar HICH showed a sharper increase in the condition of grade 3 hypertension compared with lobar HICH. During the period of research, the fatality of lobar hemorrhage was 2.9% versus 7.7% (non-lobar). Besides, the fatality incidence of HICH with relatively slightly high BP (high normal and grade 1 hypertension) was lower than poorly controlled hypertensive patients (grade 2 and grade 3 hypertension). (8.0% vs. 15.7%). The increase of hypertension classification will aggravate the occurrence of non-lobar ICH and positively corrected with BP, but not in lobar areas. It is essential to understand the distinction influence of hypertension classification between lobar and non-lobar ICH.
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http://dx.doi.org/10.1111/jch.14367 | DOI Listing |
Cureus
December 2024
Department of Cardiovascular Medicine, Khyber Medical Institute of Medical Sciences, Kohat, PAK.
Background: Percutaneous nephrolithotomy (PCNL) is the preferred treatment for large renal stones, yet variability in outcomes arises from patient-specific factors and institutional practices. Understanding complications and predictors of success is essential to improving procedural efficacy.
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Cardiovasc Diagn Ther
December 2024
Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou, China.
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January 2025
Interventional Radiology, Hospital Sírio Libanês, São Paolo, Brazil.
Purpose: This study assesses the efficacy and safety of Portal Vein Recanalization with Intrahepatic Portosystemic Shunt (PVR-TIPS) in non-cirrhotic patients with chronic portal vein occlusion (CPVO), cavernomatous transformation, and symptomatic portal hypertension (PH) and/or portal vein thrombotic progression.
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J Biomech
January 2025
Department of Gastroenterology and Hepatology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, PR China; Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan 610041, PR China. Electronic address:
Portal hypertension (PH) is the initial and main consequence of liver cirrhosis. Hepatic venous pressure gradient (HVPG) measurement has been widely used to estimate portal pressure gradient (PPG) and detect portal hypertension. However, some clinical studies have found poor correlation between HVPG and PPG, which may lead to the misdiagnosis of portal hypertension.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Ohio State University, Columbus, OH, USA
Background: Alzheimer’s disease and related dementias (ADRD) prevalence varies geographically in the US. The Appalachian region has lower educational attainment and health care access barriers compared to non‐Appalachian regions. The objective of this proposal is to assess whether the geographic variation of ADRD in Central Appalachia is explained by county‐level sociodemographic factors or access to care.
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