Amputation and mortality rates of patients undergoing upper or lower limb surgical embolectomy and their predictors Article Swipe
Ákos Bérczi
,
Dat Tin Nguyen
,
Hunor Sarkadi
,
Balázs Bence Nyárádi
,
Piroska Beneda
,
Ádám Szőnyi
,
Márton Philippovich
,
Zoltán Szeberin
,
Edit Dósa
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0279095
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0279095
Purpose To provide information on the outcomes of upper and lower limb surgical embolectomies and the factors influencing amputation and mortality. Methods A retrospective, single-center analysis of 347 patients (female, N = 207; male, N = 140; median age, 76 years [interquartile range {IQR}, 63.2–82.6 years]) with acute upper or lower limb ischemia due to thromboembolism who underwent surgery between 2005 and 2019 was carried out. Patient demographics, comorbidities, medical history, the severity of acute limb ischemia (ALI), preoperative medication regimen, embolus/thrombus localization, procedural data, in-hospital complications/adverse events and their related interventions, and 30-day mortality were reviewed in electronic medical records. Statistical analysis was performed using the Mann–Whitney U test and Fisher’s exact test; in addition, univariate and multivariate logistic regression was conducted. Results The embolus/thrombus was localized to the upper limb in 134 patients (38.6%) and the lower limb in 213 patients (61.4%). The median length of hospital stay was 3.8 days (IQR, 2.1–6.6 days). The in-hospital major amputation rates for the upper limb, lower limb, and total patient population were 2.2%, 14.1%, and 9.5%, respectively, and the in-hospital plus 30-day mortality rates were 4.5%, 9.4%, and 7.5%, respectively. In patients with lower limb embolectomy, the predictor of in-hospital major amputation was the time between the onset of symptoms and embolectomy (OR, 1.78), while the predictor of in-hospital plus 30-day mortality was previous stroke (OR, 7.16). In the overall patient cohort, there were two predictors of in-hospital major amputation: 1) the time between the onset of symptoms and embolectomy (OR, 1.92) and 2) compartment syndrome (OR, 3.51). Conclusion Amputation and mortality rates after surgical embolectomies in patients with ALI are high. Patients with prolonged admission time, compartment syndrome, and history of stroke are at increased risk of limb loss or death. To avoid amputation and death, patients with ALI should undergo surgical intervention as soon as possible and receive close monitoring in the peri- and postprocedural periods.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0279095
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279095&type=printable
- OA Status
- gold
- Cited By
- 3
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4311606583
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4311606583Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0279095Digital Object Identifier
- Title
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Amputation and mortality rates of patients undergoing upper or lower limb surgical embolectomy and their predictorsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-12-15Full publication date if available
- Authors
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Ákos Bérczi, Dat Tin Nguyen, Hunor Sarkadi, Balázs Bence Nyárádi, Piroska Beneda, Ádám Szőnyi, Márton Philippovich, Zoltán Szeberin, Edit DósaList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0279095Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279095&type=printableDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279095&type=printableDirect OA link when available
- Concepts
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Medicine, Embolectomy, Amputation, Interquartile range, Population, Surgery, Retrospective cohort study, Exact test, Univariate analysis, Medical record, Internal medicine, Multivariate analysis, Pulmonary embolism, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
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18Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.syndrome, | 278 |
| abstract_inverted_index.underwent | 57 |
| abstract_inverted_index.Amputation | 259 |
| abstract_inverted_index.Conclusion | 258 |
| abstract_inverted_index.Fisher’s | 111 |
| abstract_inverted_index.amputation | 18, 159, 201, 294 |
| abstract_inverted_index.conducted. | 122 |
| abstract_inverted_index.electronic | 98 |
| abstract_inverted_index.medication | 79 |
| abstract_inverted_index.monitoring | 311 |
| abstract_inverted_index.mortality. | 20 |
| abstract_inverted_index.population | 170 |
| abstract_inverted_index.predictors | 235 |
| abstract_inverted_index.procedural | 83 |
| abstract_inverted_index.regression | 120 |
| abstract_inverted_index.univariate | 116 |
| abstract_inverted_index.63.2–82.6 | 44 |
| abstract_inverted_index.Statistical | 101 |
| abstract_inverted_index.amputation: | 239 |
| abstract_inverted_index.compartment | 254, 277 |
| abstract_inverted_index.embolectomy | 211, 249 |
| abstract_inverted_index.in-hospital | 85, 157, 179, 199, 218, 237 |
| abstract_inverted_index.influencing | 17 |
| abstract_inverted_index.information | 3 |
| abstract_inverted_index.embolectomy, | 195 |
| abstract_inverted_index.intervention | 303 |
| abstract_inverted_index.multivariate | 118 |
| abstract_inverted_index.preoperative | 78 |
| abstract_inverted_index.demographics, | 67 |
| abstract_inverted_index.embolectomies | 13, 265 |
| abstract_inverted_index.localization, | 82 |
| abstract_inverted_index.respectively, | 176 |
| abstract_inverted_index.respectively. | 189 |
| abstract_inverted_index.single-center | 24 |
| abstract_inverted_index.Mann–Whitney | 107 |
| abstract_inverted_index.[interquartile | 41 |
| abstract_inverted_index.comorbidities, | 68 |
| abstract_inverted_index.interventions, | 91 |
| abstract_inverted_index.postprocedural | 316 |
| abstract_inverted_index.retrospective, | 23 |
| abstract_inverted_index.thromboembolism | 55 |
| abstract_inverted_index.embolus/thrombus | 81, 125 |
| abstract_inverted_index.complications/adverse | 86 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5081633018, https://openalex.org/A5071306876, https://openalex.org/A5023429272, https://openalex.org/A5021614927, https://openalex.org/A5089577588, https://openalex.org/A5027786090, https://openalex.org/A5075666731, https://openalex.org/A5024633275, https://openalex.org/A5038122589 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I101202996 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8999999761581421 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.71319718 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |