Five-Year Trends of Vascular Disease-Related Amputations in Romania: A Retrospective Database Study.
Horațiu F ComanBogdan StancuOctavian A AndercouRazvan CiocanClaudia D GhermanAdriana RusuNorina A GavanCosmina I BondorAlexandru D GavanCornelia Gabriela BalaAlexandru NeculaTrif AnaTrif TatianaPeter L HaldenwangPublished in: Journal of clinical medicine (2024)
Background/Objectives: Lower extremity amputations (LEAs) are a burdensome complication of peripheral artery disease (PAD) and/or arterial embolism and thrombosis (AET). We assessed the trends in PAD- and/or AET-related LEAs in Romania. Methods: This retrospective study (2015-2019) analyzed data on minor and major LEAs in hospitalized patients recorded in the National School for Public Health, Management, and Health Education database. The absolute numbers and incidences of LEAs were analyzed by diagnosis type, year, age, sex, and amputation level. Results: Of 38,590 vascular disease-related amputations recorded nationwide, 36,162 were in PAD and 2428 in AET patients. The average LEA incidence in the general population was 34.73 (minimum: 31.96 in 2015; maximum: 36.57 in 2019). The average incidence of major amputations, amputations above the knee, hip amputations, amputations below the knee, and minor amputations was 16.21 (15.62 in 2015; 16.84 in 2018), 13.76 (13.33 in 2015; 14.28 in 2018), 0.29 (0.22 in 2017; 0.35 in 2019), 2.15 (2.00 in 2015; 2.28 in 2019), and 18.52 (16.34 in 2015; 20.12 in 2019), respectively. Yearly PAD- and/or AET-related amputations were significantly higher in men versus women. The overall number of LEAs increased with age, particularly in patients ≥ 70 years. The increase in the total number of amputations was mainly due to a constant rise in minor amputations for both groups, regardless of gender. Conclusions : PAD- and/or AET-related LEAs in Romania increased from 2015 to 2019, with men having a greater incidence than women. Raising awareness and effective management strategies are needed to prevent LEAs.
Keyphrases
- public health
- end stage renal disease
- healthcare
- risk factors
- mental health
- peripheral artery disease
- newly diagnosed
- ejection fraction
- total knee arthroplasty
- polycystic ovary syndrome
- emergency department
- type diabetes
- machine learning
- pregnant women
- adipose tissue
- skeletal muscle
- metabolic syndrome
- middle aged
- deep learning
- cross sectional
- artificial intelligence
- lower limb