Skip to content
naulon
Not checkedNot checked for notices yet.

Prevalence and factors associated with lower limb amputation in individuals with type II diabetes mellitus in a referral hospital in Fortaleza, Ceará, Brazil: A hospital-based cross-sectional study

Francisca Lesse Mary Teixeira Alves, Gabriel Zorello Laporta

Heliyon · 2020

doi:10.1016/j.heliyon.2020.e04469 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Aims: To analyze the association between demographic, socioeconomic, clinical, epidemiological, and primary healthcare factors with the severity of lower limb amputations (LLAs) in individuals with type II diabetes mellitus (DM-II) at a reference hospital in Fortaleza, Ceará, in Northeast Brazil. Methods: A cross-sectional study was performed with a representative sample of individuals hospitalized with DM-II and the degree of LLA severity: (1) toes; (2) transmetatarsal or infrapatellar; (3) suprapatellar; (4) disarticulation or bilateral. Potentially associated factors with the outcome degree of amputation severity were identified in a semi-structured evaluation during hospitalization. The prevalence ratios of the degree of amputation severity as a function of associated factors were calculated with robust variance Poisson regression models. Results: The prevalence of high degree of severity in amputations (suprapatellar, with disarticulation or bilateral) was high in the total sample of 385 patients, revealing to be 49% (187/385). Prevalence ratios (PR) indicated a higher prevalence of DM-II amputation severity in patients who lacked of specific guidance on DM-II amputation in primary care (PR = 1.52, 95% CI: 1.05–2.21). Conclusions: LLAs in DM-II were associated with age above 67 years, male gender, cardiovascular disease, and low support for guidance at the primary healthcare level.

Abstract licence: CC BY-NC

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.