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Article

Sex-Related Differences and Factors Associated with Peri-Procedural and 1 Year Mortality in Chronic Limb-Threatening Ischemia Patients from the CLIMATE Italian Registry

by
Eugenio Martelli
1,2,3,*,†,
Matilde Zamboni
4,†,
Giovanni Sotgiu
5,
Laura Saderi
5,
Massimo Federici
6,
Giuseppe M. Sangiorgi
7,
Mariangela V. Puci
5,
Allegra R. Martelli
8,
Teresa Messina
9,
Paolo Frigatti
10,
Maria Pia Borrelli
10,
Carlo Ruotolo
11,
Ilaria Ficarelli
11,
Paolo Rubino
12,
Francesco Pezzo
12,
Luciano Carbonari
13,
Andrea Angelini
13,
Edoardo Galeazzi
14,
Luca Calia Di Pinto
14,
Franco M. Fiore
15,
Armando Palmieri
15,
Giorgio Ventoruzzo
16,
Giulia Mazzitelli
16,
Franco Ragni
17,
Antonio Bozzani
17,
Enzo Forliti
18,
Claudio Castagno
18,
Pietro Volpe
19,
Mafalda Massara
19,
Diego Moniaci
20,
Elisa Pagliasso
20,
Tania Peretti
20,
Mauro Ferrari
21,‡,
Nicola Troisi
21,
Piero Modugno
22,
Maurizio Maiorano
22,
Umberto M. Bracale
23,
Marco Panagrosso
23,
Mario Monaco
24,25,
Giovanni Giordano
25,
Giuseppe Natalicchio
26,
Antonella Biello
26,
Giovanni M. Celoria
27,
Alessio Amico
27,
Mauro Di Bartolo
27,
Massimiliano Martelli
28,
Roberta Munaó
28,
Davide Razzano
29,
Giovanni Colacchio
30,
Francesco Bussetti
30,
Gaetano Lanza
31,
Antonio Cardini
31,
Bartolomeo Di Benedetto
32,
Mario De Laurentis
32,
Maurizio Taurino
33,34,
Pasqualino Sirignano
1,34,
Pierluigi Cappiello
35,
Andrea Esposito
35,
Santi Trimarchi
36,37,
Silvia Romagnoli
37,
Andrea Padricelli
3,
Giorgio Giudice
3,
Adolfo Crinisio
38,
Giovanni Di Nardo
38,
Giuseppe Battaglia
39,
Rosario Tringale
39,
Salvatore De Vivo
40,
Rita Compagna
40,
Valerio S. Tolva
41,
Ilenia D’Alessio
41,
Ruggiero Curci
42,
Simona Giovannetti
42,
Giuseppe D’Arrigo
43,
Giusi Basile
43,
Dalmazio Frigerio
44,
Gian Franco Veraldi
45,
Luca Mezzetto
45,
Arnaldo Ippoliti
7,
Fabio M. Oddi
7 and
Alberto M. Settembrini
37
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1
Department of General and Specialist Surgery Paride Stefanini, Faculty of Pharmacy and Medicine, Sapienza University of Rome, 155 viale del Policlinico, 00161 Rome, Italy
2
Medicine and Surgery School of Medicine, Saint Camillus International University of Health Sciences, 8 via di Sant’Alessandro, 00131 Rome, Italy
3
Division of Vascular Surgery, Department of Cardiovascular Sciences, S. Anna and S. Sebastiano Hospital, via F. Palasciano, 81100 Caserta, Italy
4
Division of Vascular Surgery, Saint Martin Hospital, 22 viale Europa, 32100 Belluno, Italy
5
Clinical Epidemiology and Medical Statistics Unit, Department of Medicine, Surgery and Pharmacy, University of Sassari, viale San Pietro, 07100 Sassari, Italy
6
Department of Systems Medicine, University of Rome Tor Vergata, 1 viale Montpellier, 00133 Rome, Italy
7
Department of Biomedicine and Prevention, University of Rome Tor Vergata, 1 viale Montpellier, 00133 Rome, Italy
8
Medicine and Surgery School of Medicine, Campus Bio-Medico University of Rome, 21 via À. del Portillo, 00128 Rome, Italy
9
Division of Anesthesia and Intensive Care of Organ Transplants, Umberto I Polyclinic University Hospital, 155 viale del Policlinico, 00161 Rome, Italy
10
Divisions of Vascular Surgery, S. Maria Misericordia University Hospital, 15 Piazzale Santa Maria della Misericordia, 33100 Udine, Italy
11
Divisions of Vascular Surgery, Cardarelli Hospital, 9 Via A. Cardarelli, 80131 Naples, Italy
12
Divisions of Vascular Surgery, Pugliese Ciaccio Hospital, 83 viale Pio X, 88100 Catanzaro, Italy
13
Divisions of Vascular Surgery, Riuniti University Hospitals, 71 via Conca, Torrette (AN), 60126 Ancona, Italy
14
Divisions of Vascular Surgery, Treviso Hospital, 1 piazzale del’Ospedale, 31100 Treviso, Italy
15
Divisions of Vascular Surgery, SS. Annunziata Hospital, 31 via dei Vestini, 66100 Chieti, Italy
16
Divisions of Vascular Surgery, San Donato Hospital, 20 via Pietro Nenni, 52100 Arezzo, Italy
17
Divisions of Vascular Surgery, San Matteo Polyclinic, 19 viale Camillo Golgi, 27100 Pavia, Italy
18
Divisions of Vascular Surgery, Infermi Hospital, Via dei Ponderanesi 2, 13875 Ponderano, Italy
19
Divisions of Vascular Surgery, Bianchi-Melacrino-Morelli Hospital, 21 via G. Melacrino, 89124 Reggio di Calabria, Italy
20
Divisions of Vascular Surgery, San Giovanni Bosco Hospital, 3 piazza del Donatore di Sangue, 10154 Turin, Italy
21
Divisions of Vascular Surgery, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 2 via Paradisa, 56124 Pisa, Italy
22
Divisions of Vascular Surgery, Gemelli Molise Hospital, 1 largo A. Gemelli, 86100 Campobasso, Italy
23
Divisions of Vascular Surgery, Federico II Polyclinic, Department of Public Health and Residency Program in Vascular Surgery, University of Naples Federico II, 5 via S. Pansini, 80131 Naples, Italy
24
Divisions of Vascular Surgery, Pineta Grande Hospital, Km. 30 via Domitiana, 81030 Castelvolturno, Italy
25
Divisions of Vascular Surgery, Sanatrix Clinic, 31 via S. Domenico, 80127 Naples, Italy
26
Divisions of Vascular Surgery, Venere Hospital, 1 via Ospedale di Venere, 70131 Bari, Italy
27
Divisions of Vascular Surgery, Sant’Andrea Hospital, 197 via Vittorio Veneto, 19121 La Spezia, Italy
28
Divisions of Vascular Surgery, MultiMedica Hospital, 300 via Milenese, 20099 Sesto San Giovanni, Italy
29
Divisions of Vascular Surgery, San Pio Hospital, 1 via dell’angelo, 82100 Benevento, Italy
30
Divisions of Vascular Surgery, F.Miulli Hospital, Strada Prov. 127 Acquaviva-Santeramo Km. 4, 70021 Acquaviva delle Fonti, Italy
31
Divisions of Vascular Surgery, Multimedica Hospital, 70 viale Piemonte, 21053 Castellanza, Italy
32
Divisions of Vascular Surgery, Monaldi Hospital, via L. Bianchi, 84100 Naples, Italy
33
Divisions of Vascular Surgery, Department of Molecular and Clinical Medicine, Sapienza University of Rome, Giorgio Nicola Papanicolau, 00189 Rome, Italy
34
Divisions of Vascular Surgery, Sant’Andrea University Hospital, 1035/1039 via di Grottarossa, 00189 Rome, Italy
35
Divisions of Vascular Surgery, San Carlo Hospital, via Potito Petrone, 85100 Potenza, Italy
36
Divisions of Vascular Surgery, Department of Clinical and Community Sciences, University of Milan, 19 via della Commenda, 20122 Milan, Italy
37
Divisions of Vascular Surgery, Maggiore Polyclinic Hospital Ca’ Granda IRCCS and Foundation, 35 via Francesco Sforza, 20122 Milan, Italy
38
Divisions of Vascular Surgery, Salus Clinic, 4 via F. Confalonieri, 84091 Battipaglia, Italy
39
Divisions of Vascular Surgery, San Marco Hospital, viale Carlo Azeglio Ciampi, 95121 Catania, Italy
40
Divisions of Vascular Surgery, Pellegrini Hospital, 41 via Portamedina alla Pignasecca, 80134 Naples, Italy
41
Divisions of Vascular Surgery, Niguarda Hospital, Piazza dell’Ospedale Maggiore 3, 20161 Milan, Italy
42
Divisions of Vascular Surgery, Maggiore Hospital, 10 Piazza Ospitale, 26900 Lodi, Italy
43
Divisions of Vascular Surgery, Garibaldi-Nesima Hospital, 636 via Palermo, 95122 Catania, Italy
44
Divisions of Vascular Surgery, Vimercate Hospital, 10 via Cosma e Damiano, 20871 Vimercate, Italy
45
Divisions of Vascular Surgery, University Hospital Pietro Confortini, 1 Piazzale Aristide Stefani, 37126 Verona, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Recently retired.
J. Pers. Med. 2023, 13(2), 316; https://doi.org/10.3390/jpm13020316
Submission received: 8 December 2022 / Revised: 8 February 2023 / Accepted: 9 February 2023 / Published: 11 February 2023

Abstract

:
Background: Identifying sex-related differences/variables associated with 30 day/1 year mortality in patients with chronic limb-threatening ischemia (CLTI). Methods: Multicenter/retrospective/observational study. A database was sent to all the Italian vascular surgeries to collect all the patients operated on for CLTI in 2019. Acute lower-limb ischemia and neuropathic-diabetic foot are not included. Follow-up: One year. Data on demographics/comorbidities, treatments/outcomes, and 30 day/1 year mortality were investigated. Results: Information on 2399 cases (69.8% men) from 36/143 (25.2%) centers. Median (IQR) age: 73 (66–80) and 79 (71–85) years for men/women, respectively (p < 0.0001). Women were more likely to be over 75 (63.2% vs. 40.1%, p = 0.0001). More men smokers (73.7% vs. 42.2%, p < 0.0001), are on hemodialysis (10.1% vs. 6.7%, p = 0.006), affected by diabetes (61.9% vs. 52.8%, p < 0.0001), dyslipidemia (69.3% vs. 61.3%, p < 0.0001), hypertension (91.8% vs. 88.5%, p = 0.011), coronaropathy (43.9% vs. 29.4%, p < 0.0001), bronchopneumopathy (37.1% vs. 25.6%, p < 0.0001), underwent more open/hybrid surgeries (37.9% vs. 28.8%, p < 0.0001), and minor amputations (22% vs. 13.7%, p < 0.0001). More women underwent endovascular revascularizations (61.6% vs. 55.2%, p = 0.004), major amputations (9.6% vs. 6.9%, p = 0.024), and obtained limb-salvage if with limited gangrene (50.8% vs. 44.9%, p = 0.017). Age > 75 (HR = 3.63, p = 0.003) is associated with 30 day mortality. Age > 75 (HR = 2.14, p < 0.0001), nephropathy (HR = 1.54, p < 0.0001), coronaropathy (HR = 1.26, p = 0.036), and infection/necrosis of the foot (dry, HR = 1.42, p = 0.040; wet, HR = 2.04, p < 0.0001) are associated with 1 year mortality. No sex-linked difference in mortality statistics. Conclusion: Women exhibit fewer comorbidities but are struck by CLTI when over 75, a factor associated with short- and mid-term mortality, explaining why mortality does not statistically differ between the sexes.

1. Introduction

Chronic limb-threatening ischemia (CLTI) affects 1–10% of patients with peripheral arterial disease (PAD), represents its advanced stages, and is characterized by rest pain or tissue necrosis in the foot. It generally results from involvement of at least two arterial segments (aorto-iliac, femoropopliteal, and tibiopedal) or severe tibiopedal disease. The latter is particularly involved in patients with diabetes mellitus, end-stage renal disease, or the very elderly. It represents a very broad range of severe malperfusion of the lower limb and the associated limb threat. The general and limb prognosis of these patients is adverse: they are at continuous risk of a major cardiovascular event, sudden death, and, of course, amputation [1].
The survival of female and male patients who underwent treatment for CLTI has been investigated with discordant results. For instance, some studies from Germany and the USA showed that 30 day mortality was significantly higher in females, while others from Japan and Sweden, respectively, identified female sex as a significant positive predictor of 2 year survival or reported that male sex was significantly associated with an increased risk of death [2,3,4,5,6,7,8,9,10,11].
Understanding the pathophysiological differences between the sexes is important to improving the quality of care. In this setting, it is reported that a lower rate of diagnostic angiograms and interventional procedures are performed in women compared with men [12]. This has raised the concern that the therapeutic approach to cardiovascular diseases should be sex-specific because of the existence of sex-related disparities in cardiovascular physiology [13,14]. Sex differences have been identified as additional determinants in diagnostic definitions and referral requirements for some diseases and sex-specific treatments are set including percutaneous coronary intervention, coronary artery bypass graft surgery, and PAD [15]. In particular, factors such as older age, late presentation, delayed diagnosis, smaller-size vessels, and other sex-related biases have been postulated to account, at least in part, for the portended less-favorable outcome in women with PAD. In addition, most studies on PAD have had low enrollment rates for women. Fortunately, the sex disparity in the management of PAD has been recognized, and more effort and resources have been dedicated to studying this issue. Men and women have distinct and significant biological differences. Physiologically, women differ from men in many respects (e.g., they have smaller blood vessels; their menopausal state and eventual estrogen replacement therapy can affect their cardiovascular risk; etc.) [16,17,18]. It is possible that these differences may contribute to the different presentations of the disease between the sexes and the postoperative complications of major vascular procedures.
Related to the increased awareness of sex differences, the objective of the present study is to evaluate sex-related differences in the immediate post-surgery outcome and 1 year mortality in patients affected by CLTI. Secondary endpoints consist of the identification of any demographic, risk factor for atherosclerosis, comorbidity, or treatment significantly associated with operative and 1 year mortality.

2. Materials and Methods

CLIMATE (Chronic Limb-threatening Ischemia Mortality At short-medium Term and Sex) is a multicenter and retrospective observational study.
The same ad hoc electronic questionnaire was sent by email to all 143 Italian Divisions of Vascular Surgery, which consist of 20 (14% academic) and 123 (86% non-academic) centers. The questionnaire asked to anonymously collect data regarding all the patients treated in each center from 1 January to 31 December 2019 for the first episode of CLTI on the target limb (by endovascular, surgical, hybrid revascularization, regenerative cellular therapy, or major amputation). Patients with acute lower limb ischemia or exclusively neuropathic diabetic foot (non-ischemic, i.e., with triphasic wave distal arterial blood-flow at duplex scan) were not an object of this study and were not considered in the database. Follow-up was limited to the first year after the operative treatment.
Data on demographics, risk factors for atherosclerosis, comorbidities, clinical presentation, treatment, technical and clinical success, postoperative medical therapy, limb salvage, 30 day and 1 year mortality, and cause of death were collected from clinical charts, operator reports, discharge letters, institutions’ archives, and reported on the electronic database by each division of vascular surgery. The result from each variable in the database was classified as reported in Table 1 (for instance, 0 = no, 1 = yes), that is, ready for statistical analysis. Each center provided two surgeons for this study: one deputed to data collection and the other the chief of the division, who was responsible for the accuracy and integrity of the data. All the 35 databases were checked for congruency and summarized together in the original database from the first author (E.M.). Further supervision of all the data collected from all the centers was performed by the co-first author (M.Z.) and by the statistician co-authors #3, 4, and 7 (G.S., L.S., and M.P.). Data supporting the findings of this study are available from the corresponding author upon reasonable request. Weekly web meetings were held between the authors and the study group while drafting the protocol and over the following two months of patient recruitment, to standardize data collection.
Here are some definitions we adopted; the remaining are reported in the tables. Hyperlipemia: low-density lipoprotein ≥ 70 mg/dL, total cholesterol > 135 mg/dL, or triglyceride > 150 mg/dL. Arterial hypertension is defined as having a systolic and/or diastolic blood pressure of ≥140 mmHg and ≥90 mmHg, respectively. Coronary artery disease (CAD): stable or unstable angina, ejection fraction < 30%, history of myocardial infarction or congestive heart failure. Chronic obstructive pulmonary disease (COPD): symptomatic, but sometimes with only radiological signs. Cerebrovascular disease (CVD): previous TIA or stroke. Minor amputation: toe or trans-metatarsal amputation. Limb salvage (LS): any treatment for CLTI that is successful in avoiding a major amputation. Use of antiplatelets, anticoagulants, and statins was classified as monotherapy, two medications, or three or more medications.
Institutional review board approval and patient-informed consent were waived. The current Italian legislation on observational studies (our study falls under this category) does not request the above-mentioned documents when clinical data are anonymized (Official Gazette of the Italian Republic #76, 31 March 2008).

Statistical Analysis

Sample characteristics were collected in an ad hoc dataset (Supplementary file dataset S1).
Qualitative variables were summarized with absolute and relative (percentage) frequencies; quantitative ones with medians and interquartile ranges (IQR). Pearson’s or Fisher’s exact tests were used to evaluate differences in qualitative variables between males and females, whereas the Mann–Whitney test was performed to compare quantitative variables.
Survival analysis at 30 days and at 1 year was performed by Cox proportional hazard regression. Candidate variables for multivariate analysis were chosen if they were statistically significant at univariate analysis or clinically relevant.
The Kaplan–Meier curve and log-rank tests were performed to describe survival according to gender.
A p-value of less than 0.05 was considered statistically significant. The STATA13 statistical software was used for all statistical computations.

3. Results

Thirty-six (25.2%) of the 143 divisions of vascular surgery from 17 of the 20 Italian regions replied to the invitation and joined the study. The proportion between the typology of the adhering centers, compared to the typology of the Italian Divisions of Vascular Surgery, was found to be constant: five (14.3%) academic vs. thirty-five (85.6%) non-academic. Information on 2399 cases was collected. All the data requested from the database was obtained from each vascular surgery center, and at follow-up, no patient was lost at 30 days, while 20 (0.8%) were missing at 1 year.
Table 1 shows the sample characteristics stratified by sex.
Table 1. Sample characteristics.
Table 1. Sample characteristics.
VariablesTotal Cohort
(n = 2399)
Men
(n = 1677)
Women
(n = 722)
p-Value
Median (IQR) age, yrs75 (67–81)73 (66-80)79 (71–85)<0.0001
Age > 75 yrs1128 (47.0)672 (40.1)456 (63.2)0.0001
Tobacco use:1538 (64.2)1234 (73.7)304 (42.2)<0.0001
never857 (35.8)441 (26.3)416 (57.8)<0.0001
former (stop > 10 yrs)840 (35.1)693 (41.4)147 (20.4)<0.0001
smoker698 (29.1)541 (32.3)157 (21.8)<0.0001
Overt diabetes mellitus (yes vs. no):1418 (59.2)1038 (61.9)380 (52.8)<0.0001
no978 (40.8)638 (38.1)340 (47.2)<0.0001
non-insulin dependent717 (29.9)529 (31.6)188 (26.1)0.007
insulin dependent701 (29.3)509 (30.4)192 (26.7)0.068
Hyperlipemia:1601(66.9)1160 (69.3)441 (61.3)<0.0001
no794 (33.1)515 (30.8)279 (38.6)0.001
under therapy1498 (62.6)1089 (65.0)409 (56.8)0.0001
no therapy103 (4.3)71 (4.2)32 (4.4)0.825
Arterial hypertension:2176 (90.8)1538 (91.8)638 (88.5)0.011
no221 (9.2)138 (8.2)83 (11.5)0.011
under therapy2147 (89.6)1515 (90.4)632 (87.7)0.047
no therapy29 (1.2)23 (1.4)6 (0.8)0.245
Chronic renal insufficiency:626 (26.1)453 (27.0)173 (24.0)0.123
no1769 (73.9)1222 (73.0)547 (76.0)0.125
creatinine > 2 mg/dL408 (17.0)283 (16.9)125 (17.4)0.765
hemodialysis treatment218 (9.1)170 (10.1)48 (6.7)0.006
Coronary artery disease:947 (39.6)736 (43.9)211 (29.4)<0.0001
no1447 (60.4)939 (56.0)508 (70.7)<0.0001
revascularized705 (29.5)559 (33.4)146 (20.3)<0.0001
non-revascularized242 (10.1)177 (10.6)65 (9.0)0.246
Chronic obstructive pulmonary disease:806 (33.7)622 (37.1)184 (25.6)<0.0001
no1589 (66.3)1054 (62.9)535 (74.4)<0.0001
only radiological signs479 (20.0)363 (21.7)116 (16.1)0.002
symptomatic327 (13.7)259 (15.4)68 (9.5)0.0001
Cerebrovascular disease:186 (7.8)128 (7.6)58 (8.0)0.736
no2213 (92.2)1549 (92.4)664 (92.0)0.918
previous TIA139 (5.8)95 (5.7)44 (6.1)
previous stroke47 (2.0)33 (2.0)14 (1.9)
Rutherford category:4 (rest pain)964 (40.2)697 (41.6)267 (37.0)0.107
5 (minor tissue loss)1078 (44.9)738 (44.0)340 (47.1)
6 (major tissue loss)357 (14.9)242 (14.4)115 (15.9)
Necrosis/infection of the foot:no1194 (49.9)854 (51.0)340 (47.4)0.202
dry603 (25.2)407 (24.3)196 (27.3)
wet596 (24.9)414 (24.7)182 (25.4)
First intervention:endovascular only
(rarely, regenerative cellular therapy)
1366 (57.1)922 (55.2)444(61.6)0.004
any open revascularization surgery840 (35.2)632 (37.9)208 (28.8)<0.0001
any major amputation184 (7.7)115 (6.9)69 (9.6)0.024
Any intervention below the knee1287 (53.9)912 (54.6)375 (52.3)0.313
Technical success of CLTI revascularization:no211 (9.5)152 (9.7)59 (9.0)0.611
yes2004 (90.5)1410 (90.3)594 (91.0)
Associated minor amputation467 (19.5)368 (22.0)99 (13.7)<0.0001
Postoperative antiplatelets, anticoagulants, statins:monotherapy561 (24.3)373 (23.1)188 (26.9)0.105
two medications1229 (53.2)863 (53.6)366 (52.4)
three or more medications519 (22.5)375 (23.3)144 (20.6)
Clinical success of CLTI revascularization:worsen157 (7.1)109 (7.0)48 (7.4)0.951
no change343 (15.5)142 (15.5)101 (15.5)
improved1716 (77.4)1212 (77.5)504 (77.2)
Limb salvage:1965 (82.1)1382 (82.6)583 (80.9)0.307
in Rutherford category 4882 (44.9)638 (46.2)244 (41.9)0.080
in Rutherford category 5917 (46.7)621 (44.9)296 (50.8)0.017
in Rutherford category 6166 (8.5)123 (8.9)43 (7.4)0.275
30 day mortality74 (3.1)44 (2.6) 30 (4.2)0.047
1 year mortality317 (13.5)211 (12.8)106 (14.9)0.167
Cause of death:cardiac141 (42.1)91 (41.2)50 (43.9)0.635
neurologic19 (5.7)10 (4.5)9 (7.9)0.202
pulmonary33 (9.9)31 (14.0)3 (2.6)0.001
cancer19 (5.7)13 (5.9)6 (5.3)0.822
multi-organ failure46 (13.7)25 (11.3)21 (12.4)0.074
other77 (23.0)51 (23.1)25 (21.9)0.804
Quantitative variables are expressed with a median and interquartile range (IQR), and qualitative ones as absolute and relative (percentage) frequencies, n (%). TIA, or transient ischemic attack. CLTI, chronic limb-threatening ischemia.
Among 2399 patients, 1677 (69.9%) were males; the median (IQR) age in the sample was 75 (67–81) years old, with a significant difference between men and women [73 (66–80) years vs. 79 (71–85) years, p < 0.0001, respectively]. Women were older than 75 compared to men (63.2% vs. 40.1%, p = 0.0001). The age 75 cutoff (≤75 or >75) was chosen on the basis of the median value.
The most common cardiovascular risk factor and comorbidity in the total cohort are, respectively, arterial hypertension and CAD, followed by hyperlipemia, tobacco use, diabetes mellitus, COPD, chronic renal insufficiency, and CVD.
A significantly greater proportion of men who were smokers and affected by diabetes, dyslipidemia, end-stage renal disease on hemodialysis treatment, arterial hypertension, CAD and COPD underwent significantly more open or hybrid surgeries for CLTI revascularization, and amputations of the toes or the forefoot as a complementary treatment for LS. On the contrary, a significantly greater proportion of women underwent less-invasive direct or indirect revascularizations for CLTI, mainly endovascular (cellular therapy was used in only 18, 2.5% of women, and 27, 1.6% of men) and major amputations.
CVD, the clinical presentation according to Rutherford’s classification, infection/necrosis of the foot, above the knee vs. below the knee revascularization, technical and clinical success of revascularization for CLTI, postoperative medical therapy, 1 year mortality, cardiac, neurologic, malignant, and multi-organ failure causes of death do not statistically differ between the sexes, as well as 30 day mortality, which, despite being close to being so, is not statistically significant (p = 0.047, which is approximately p = 0.05). Instead, significantly more women with limited tissue loss (Rutherford category 5) obtain LS, and significantly more males die from pulmonary causes.
Table 2 reports the Cox regression analysis to assess the relationship between demographic, epidemiological, and clinical characteristics, and 30 day mortality.
Results from multivariate analysis show that age > 75 years was the only variable associated with the 30 day mortality rate (HR = 3.69, 95%CI: 1.53–8.62; p = 0.003).
Table 3 shows the results of a Cox regression analysis to assess the relationship between demographic, epidemiological, clinical characteristics, and 1 year mortality.
Results from multivariate analysis show that the following factors were found to be associated with 1 year mortality: age > 75 years (HR = 2.14, 95%CI: 1.60–2.87; p < 0.0001); therapy for hyperlipemia (HR = 0.69, 95%CI: 0.51–0.93; p = 0.015); chronic renal insufficiency (CRI) (HR = 1.54, 95%CI: 1.28–1.84; p < 0.0001); CAD (HR = 1.26, 95%CI: 1.02–1.57; p = 0.036); dry necrosis (HR = 1.42, 95%CI: 1.02–1.98; p = 0.040); and wet necrosis (HR = 2.04, 95%CI: 1.46–2.85; p < 0.0001) of the foot.
Figure 1 and Figure 2 show the Kaplan–Meier survival curves (overall distribution and for men/women) at 30 days and 1 year, respectively. Again, no statistically significant difference is noted between the sexes.

4. Discussion

The aim of the study was to evaluate the differences between men and women in 30 days and 1 year mortality. Our findings showed that no differences were observed between the sexes.
The overall 30 day mortality rate in this study of 2399 CLTI patients is 3.1%. One-year mortality is 13.5%, which is much lower than the 23.1–28.7% reported in the COPART French registry on 411 patients treated for CLTI [19]. Differences in risk factors and comorbidities between the French and Italian populations may explain the difference in 1 year mortality between these two studies.
Notwithstanding that our male patients were significantly more smokers, affected by diabetes, end-stage renal disease on hemodialysis treatment, arterial hypertension, CAD, and COPD, and revascularized for CLTI by open surgery, they were also significantly younger, more on statin therapy, and more revascularized for CAD, potentially inducing more protection from cardiovascular risk.
Additionally, the male patients in the Medicare population affected by CLTI and analyzed from 2015 to 2017 received significantly more statin therapy compared to females [4].
The current clinical practice guidelines from the European Society for Vascular Surgery strongly recommend the use of moderate or high-intensity statin therapy to reduce all-cause and cardiovascular mortality in patients with CLTI [20].
Cardiologists from the University of Minnesota found that patients with unprotected left main coronary artery disease benefit from preoperative coronary artery revascularization before vascular surgery [21].
Our findings that some vascular beds are more affected than others when comparing men and women (i.e., the coronary district vs. the peripheral arterial district) and that some risk factors are so disparate between the groups suggest a potentially different phenotypic expression of the disease process. However, it is important to notice that this result might merely be a function of which men and women were selected for the treatment.
Anesthesiologists from Melbourne, Toronto, and Auckland have recently evaluated the effects of randomized interventions by sex in large international perioperative trials and concluded that women were healthier than men, but outcomes were similar. These authors encouraged further research to understand the reason for this discrepancy [22].
Colleagues from Auckland and Hamilton analyzed 1773 patients with CLTI in the midland region of New Zealand over a 12 year period. They found a worse long-term survival rate for women with CLTI, despite 30 day mortality not differing depending on sex [23].
A recent German study from the cardiologists at the University of Muenster on almost 200,000 unselected patients treated for CLTI over an 8 year period showed that 30 day mortality is significantly higher in women [3]. The same results were obtained from the US National Inpatient Sample database [7,10].
Other French colleagues from the University of Strasbourg demonstrated a significantly lower survival rate at 6 years, but not at 30 days, among women compared to men undergoing infra-inguinal open surgery for CLTI. They concluded that female sex was an independent factor predicting death [24].
A possible explanation for this worse long-term survival in women treated for CLTI is that they are associated with more severe disease at presentation (although in our study Rutherford categories were similar in both sexes), develop arteriosclerotic changes later in life, and require treatment at an older age [16].
On the contrary, a recent multicenter study from Japan has identified female sex as a significant positive predictor of 2 year overall survival in patients treated for CLTI [11].
Another Swedish population-based study conducted between 2008 and 2013 on over 10,000 patients who underwent revascularization for CLTI and were followed up for a median of 2.7 years reported that male sex was significantly associated with an increased risk of amputation or death at multivariate analysis [6].
This dichotomy could open a reflection on the genetic, environmental, and dietary factors implied on the outcome of CLTI patients. The Atherosclerosis Risk in Communities (ARIC) study has already focused attention on the association of race (“Blacks vs. Whites” in the ARIC study) with incident CLTI-related hospitalizations that leads to differences in clinical disease risk and presentation [25].
We have found advanced age over 75 years old to be a negative prognostic factor, both for 30 day and 1 year mortality. A Dutch study recently reported a similar result for 1 year mortality in advanced age, as did a Yale School of Medicine study [26,27].
The older population is increasing, and this knowledge of worse CLTI outcomes for the elderly population is important for clinical decision making.
Our female patients treated for CLTI are significantly older compared to males, and this is in contrast with the exception of the Italian data (females are 0.9 years younger than males) reported in the VASCUNET and International Consortium of Vascular Registries [28].
Our analysis demonstrates that females are struck by CLTI at an age >75 years, a pivotal factor associated with short- and mid-term mortality. This fact may explain why the mortality rate does not significantly differ between the sexes, although females have fewer risk factors and comorbidities associated with this condition.
Our study confirms other independent predictive factors for mortality at 1 year, namely CRI, CAD, and tissue loss.
CLTI is a terminal manifestation of systemic atherosclerosis. Therefore, it is often accompanied by clinically significant CAD, resulting in high mortality. The goal of treating patients with CLTI is not only to save a functional limb but also to improve cardiovascular outcomes. While some risk factors (age and sex) are immutable, others are (cigarette smoking, dyslipidemia, diabetes mellitus, a sedentary lifestyle, and treatable hypertension). In the absence of an efficient cardiovascular work-up and aggressive treatment of risk factors and associated comorbidities, the prognosis of CLTI is generally poor [29,30,31].
End-stage renal disease and tissue loss are established critical factors for mid-term mortality in patients undergoing revascularization for CLTI [32,33,34,35].
Interestingly, in our study, although significantly more women underwent major amputations, LS was achieved significantly more often in women with minor tissue loss. Perhaps the reason is that CLTI treatment differs between sexes, with women receiving significantly more minimally invasive therapies and men receiving significantly more open surgery.
Additionally, the US National Inpatient Sample database shows that women are more likely to undergo endovascular surgery for CLTI than men, and this is associated with a higher incidence of major amputation [10,36]. Therefore, in our series, it seems that endovascular treatment has been more successful than open or hybrid treatment in terms of LS in women with CLTI in the Rutherford category of 5.
In parallel, men had significantly undergone more open or hybrid surgeries for CLTI revascularization together with minor amputations and significantly achieved less LS in Rutherford category 5. It seems that in men, minor amputation as a complementary act of open or hybrid revascularization for CLTI does not give benefits in terms of LS.
Our study has limitations. Firstly, data were retrospectively collected, and some key clinical information might be missing or might not be recorded appropriately in the clinical records. The selection criteria for offering CLTI interventions are based on real-world data and are not systematic. For instance, we could not collect data on hormonal replacement/supplementation therapy for the two groups. Furthermore, we did not collect data on the extent of CLTI (for instance, below-the-knee vs. multi-level disease). Finally, the role played by unknown confounders can be relevant in an observational design. In order to mitigate potential documentation errors, patients’ data was collected from multiple hospital records, and several web meetings and phone calls were performed between the first author and the other authors during the writing of the study protocol and the patient’s recruitment period to standardize data collection.
Secondly, the timing of patient recruitment does not coincide with the actual appearance of the disease. This may cause an artificial extension, as the atherosclerosis and symptomology may have developed earlier. Thirdly, we evaluated only one year of patients treated for CLTI; as such, inter-annual variability cannot be excluded.
Finally, the staging of CLTI has not been performed using the current WIfI (Wound, Ischemia, and foot Infection) classification system. We have preferred to adopt the standard Rutherford classification, together with the presence/absence of necrosis/infection of the foot, and to exclude patients with only neuropathic (non-ischemic) diabetic foot, to make data collection easier and more realistic for the participating centers, which are mostly non-academic [37]. For the same reason, the current international suggested standards for reports dealing with risk factors and comorbidities have been adjusted or synthetized (for instance, asymptomatic carotid stenosis has not been included in CVD since in the real world not all patients treated for CLTI undergo a carotid duplex scan) [38].

5. Conclusions

Our observational evaluation of patients operated on for CLTI demonstrates that women are less represented and have fewer risk factors and comorbidities compared to men. However, women are struck by CLTI at an age > 75 years, a pivotal factor associated with short- and mid-term mortality, explaining why the mortality rate does not differ between the two sexes. Additionally, CRI, CAD, and tissue loss are independent negative prognostic factors for 1 year survival.
Endovascular techniques for limited tissue loss are more likely to be successful in women.
Statin therapy is an independent positive prognostic factor for 1 year survival; once again, its aggressive use in CLTI patients appears justified.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jpm13020316/s1, File S1: dataset.

Author Contributions

Conceptualization, resources, supervision, project administration, E.M., M.Z., G.S., L.S., M.F. (Massimo Federici), G.M.S., M.V.P., A.R.M., T.M., P.F., C.R., P.R., L.C., E.G., F.M.F., G.V., F.R., E.F., P.V., D.M., M.F. (Mauro Ferrari), P.M., U.M.B., M.M. (Mario Monaco), G.N., G.M.C., M.M. (Massimiliano Martelli), D.R., G.C., G.L., B.D.B., M.T., P.C., S.T., A.C. (Adolfo Crinisio), G.B. (Giuseppe Battaglia), S.D.V., V.S.T., R.C. (Ruggiero Curci), G.D., D.F., G.F.V., A.I. and A.M.S.; methodology, validation, investigation, data curation, visualization, E.M., M.Z., G.S., L.S., M.F. (Massimo Federici), G.M.S., M.V.P., A.R.M., T.M., M.P.B., I.F., F.P., A.A. (Andrea Angelini), L.C.D.P., A.P. (Armando Palmieri), G.M., A.B. (Antonio Bozzani), C.C., M.M. (Mafalda Massara), E.P., T.P., N.T., M.M. (Maurizio Maiorano), M.P. (Marco Panagrosso), G.G. (Giovanni Giordano), A.B. (Antonella Biello), A.A. (Alessio Amico), M.D.B., R.M., F.B., A.C. (Antonio Cardini), M.D.L., P.S., A.E., S.R., A.P. (Andrea Padricelli), G.G. (Giorgio Giudice), G.D.N., R.T., R.C. (Rita Compagna), I.D., S.G., G.B. (Giusi Basile), L.M., F.M.O. and A.M.S. Software, E.M., G.S., L.S., M.V.P. and A.M.S.; formal analysis, writing—original draft preparation, E.M., M.Z., G.S., L.S., M.F. (Massimo Federici), G.M.S., M.V.P., A.R.M., T.M. and A.M.S.; writing—review and editing, E.M., M.Z., G.S., L.S., M.F. (Massimo Federici), G.M.S., M.V.P., A.R.M., T.M., P.F., M.P.B., C.R., I.F., P.R., F.P., L.C., A.A. (Andrea Angelini), E.G., L.C.D.P., F.M.F., A.P. (Armando Palmieri), G.V., G.M., F.R., A.B. (Antonio Bozzani), E.F., C.C., P.V., M.M. (Mafalda Massara), D.M., E.P., T.P., M.F. (Mauro Ferrari), N.T., P.M., M.M. (Maurizio Maiorano), U.M.B., M.P. (Marco Panagrosso), M.M. (Mario Monaco), G.G. (Giovanni Giordano), G.N., A.B. (Antonella Biello), G.M.C., A.A. (Alessio Amico), M.D.B., M.M. (Massimiliano Martelli), R.M., D.R., G.C., F.B., G.L., A.C. (Antonio Cardini), B.D.B., M.D.L., M.T., P.S., P.C., A.E., S.T., S.R., A.P. (Andrea Padricelli), G.G. (Giorgio Giudice), A.C. (Adolfo Crinisio), G.D.N., G.B. (Giuseppe Battaglia), R.T., S.D.V., R.C. (Rita Compagna), V.S.T., I.D., R.C. (Ruggiero Curci), S.G., G.D., G.B. (Giusi Basile), D.F., G.F.V., L.M., A.I., F.M.O. and A.M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval were waived. Being an observational study, according to Italian law, a mandatory approval is not needed.

Informed Consent Statement

Patient consent was waived due to the retrospective and aggregate nature of the study analysis.

Data Availability Statement

Raw data were obtained from 25% of the Italian Divisions of Vascular Surgery and are readily available for presentation to the referees and the editors of the journal, if requested.

Acknowledgments

The authors gratefully acknowledge Edoardo Guarino, Meng, MSc for the English revision of this manuscript, and IMED s.r.l. for its unconditioned support in the open access of this paper.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Kaplan–Meier curves for overall survival at 30 days. (A) Distribution of overall survival (B) Overall survival for males and females.
Figure 1. Kaplan–Meier curves for overall survival at 30 days. (A) Distribution of overall survival (B) Overall survival for males and females.
Jpm 13 00316 g001
Figure 2. Kaplan–Meier curves for overall survival at 1 year. (A) Distribution of overall survival (B) Overall survival for males and females.
Figure 2. Kaplan–Meier curves for overall survival at 1 year. (A) Distribution of overall survival (B) Overall survival for males and females.
Jpm 13 00316 g002
Table 2. Cox regression analysis to assess risk factors for 30 day mortality.
Table 2. Cox regression analysis to assess risk factors for 30 day mortality.
VariablesUnivariate AnalysisMultivariate Analysis
HR (95% CI)p-ValueHR (95% CI)p-Value
Age > 75 yrs3.42 (1.93–6.01)<0.00013.63 (1.53–8.62)0.003
Men0.62 (0.38–1.03)0.0630.71 (0.34–1.48)0.359
Tobacco use1.20 (0.71–2.04)0.501--
Overt diabetes mellitus0.80 (0.49–1.32)0.386--
Hyperlipemia:noRef.Ref.Ref.Ref.
under therapy0.60 (0.36–0.98)0.0420.86 (0.39–1.86)0.693
no therapy0.26 (0.04–1.92)0.187--
Arterial hypertension1.19 (0.48–2.97)0.705--
Chronic renal insufficiency:2.01 (1.22–3.32)0.0061.37 (0.82–2.27)0.227
noRef.Ref.Ref.Ref.
creatinine > 21.78 (0.97–3.23)0.0610.96 (0.39–2.39)0.937
hemodialysis treatment2.45 (1.25–4.81)0.009--
Coronary artery disease:1.69 (1.03–2.78)0.0370.69 (0.25–1.92)0.479
noRef.Ref.Ref.Ref.
revascularized1.79 (1.06–3.03)0.0292.88 (0.90–9.17)0.074
non-revascularized1.40 (0.62–3.19)0.424--
Chronic obstructive pulmonary disease1.14 (0.68–1.90)0.624--
Cerebrovascular disease2.89 (1.54–5.41)0.0012.02 (0.80–5.06)0.136
Necrosis/infection of the foot:noRef.Ref.Ref.Ref.
dry1.37 (0.64–2.95)0.4240.88 (0.34–2.24)0.783
wet4.61 (2.56–8.31)<0.00011.71 (0.73–4.02)0.217
First intervention:endovascular only (rarely, regenerative cellular therapy)Ref.Ref.Ref.Ref.
any open revascularization1.26 (0.67–2.37)0.4741.02 (0.48–2.17)0.962
any major amputation8.96 (5.05–15.90)<0.0001--
Any intervention below the knee0.77 (0.47–1.27)0.309--
Associated minor amputation1.31 (0.64–2.69)0.460--
Technical success of CLTI revascularization0.41 (0.19–0.88)0.0230.60 (2.25–1.47)0.262
Postoperative antiplatelets, anticoagulants, statins:monotherapyRef.Ref.Ref.Ref.
two medications0.45 (0.27–0.77)0.0030.73 (0.33–1.61)0.440
three or more medications0.24 (0.10–0.57)0.0010.39 (0.12–1.27)0.118
Clinical success of CLTI revascularization:worsenRef.Ref.Ref.Ref.
no change0.34 (0.13–0.91)0.0320.50 (0.16–1.55)0.230
improved0.22 (0.10–0.47)<0.00010.53 (0.18–1.56)0.248
Limb salvage0.15 (0.09–0.25)<0.00010.51 (0.19–1.36)0.180
CLTI, chronic limb-threatening ischemia.
Table 3. Cox regression analysis to assess risk factors for 1 year mortality.
Table 3. Cox regression analysis to assess risk factors for 1 year mortality.
VariablesUnivariate AnalysisMultivariate Analysis
HR (95% CI)p-ValueHR (95% CI)p-Value
Age > 75 yrs2.50 (1.96–3.18)<0.00012.14 (1.60–2.87)<0.0001
Men 0.83 (0.65–1.06)0.1340.99 (0.72–1.34)0.928
Tobacco use0.70 (0.55–0.88)0.0020.89 (0.66–1.20)0.447
Overt diabetes mellitus0.90 (0.72–1.14)0.395--
Hyperlipemia:noRef.Ref.Ref.Ref.
under therapy0.64 (0.51–0.81)<0.00010.69 (0.51–0.93)0.015
no therapy0.86 (0.50–1.50)0.6020.97 (0.51–1.86)0.937
Arterial hypertension 1.04 (0.69–1.55)0.865--
Chronic renal insufficiency:1.92 (1.52–2.43)<.00011.54 (1.28–1.84)<0.0001
noRef.Ref.Ref.Ref.
creatinine > 21.42 (1.06–1.92)0.0210.84 (0.59–1.21)0.354
hemodialysis treatment2.89 (2.15–3.88)<0.0001--
Coronary artery disease:1.51 (1.20–1.90)<0.00011.26 (1.02–1.57)0.036
noRef.Ref.Ref.Ref.
revascularized 1.47 (1.14–1.89)0.0031.20 (0.88–1.65)0.255
non-revascularized1.64 (1.16–2.32)0.005--
Chronic obstructive pulmonary disease1.02 (0.80–1.29)0.902--
Cerebrovascular disease:1.48 (1.01–2.17)0.046--
NoRef.Ref.Ref.Ref.
previous TIA1.86 (1.25–2.76)0.0021.53 (0.95–2.46)0.084
previous stroke0.39 (0.10–1.57)0.190.38 (0.1–1.55)0.177
Necrosis/infection of the foot:noRef.Ref.Ref.Ref.
dry1.83 (1.35–2.48)<0.00011.42 (1.02–1.98)0.040
wet3.15 (2.39–4.13)<0.00012.04 (1.46–2.85)<0.0001
First intervention:endovascular only (rarely, regenerative cellular therapy)Ref.Ref.Ref.Ref.
any open revascularization0.81 (0.62–1.06)0.1220.86 (0.64–1.15)0.310
any major amputation3.05 (2.25–4.13)<0.0001--
Any intervention below the knee1.06 (0.84–1.33)0.624--
Associated minor amputation1.29 (0.96–1.73)0.091--
Technical success of CLTI revascularization0.83 (0.55–1.25)0.37--
Postoperative antiplatelets, anticoagulants, statins:monotherapyRef.Ref.Ref.Ref.
two medications0.63 (0.48–0.82)0.0010.93 (0.67–1.29)0.678
three or more medications0.52 (0.37–0.73)<0.00010.78 (0.52–1.18)0.243
Clinical success of CLTI revascularization:worsenRef.Ref.Ref.Ref.
no change0.81 (0.50–1.34)0.4151.02 (0.59–1.77)0.949
improved0.58 (0.38–0.88)0.0110.89 (0.52–1.51)0.666
Limb salvage0.41 (0.32–0.52)<0.00010.71 (0.47–1.06)0.095
TIA, transient ischemic attack. CLTI, chronic limb-threatening ischemia.
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MDPI and ACS Style

Martelli, E.; Zamboni, M.; Sotgiu, G.; Saderi, L.; Federici, M.; Sangiorgi, G.M.; Puci, M.V.; Martelli, A.R.; Messina, T.; Frigatti, P.; et al. Sex-Related Differences and Factors Associated with Peri-Procedural and 1 Year Mortality in Chronic Limb-Threatening Ischemia Patients from the CLIMATE Italian Registry. J. Pers. Med. 2023, 13, 316. https://doi.org/10.3390/jpm13020316

AMA Style

Martelli E, Zamboni M, Sotgiu G, Saderi L, Federici M, Sangiorgi GM, Puci MV, Martelli AR, Messina T, Frigatti P, et al. Sex-Related Differences and Factors Associated with Peri-Procedural and 1 Year Mortality in Chronic Limb-Threatening Ischemia Patients from the CLIMATE Italian Registry. Journal of Personalized Medicine. 2023; 13(2):316. https://doi.org/10.3390/jpm13020316

Chicago/Turabian Style

Martelli, Eugenio, Matilde Zamboni, Giovanni Sotgiu, Laura Saderi, Massimo Federici, Giuseppe M. Sangiorgi, Mariangela V. Puci, Allegra R. Martelli, Teresa Messina, Paolo Frigatti, and et al. 2023. "Sex-Related Differences and Factors Associated with Peri-Procedural and 1 Year Mortality in Chronic Limb-Threatening Ischemia Patients from the CLIMATE Italian Registry" Journal of Personalized Medicine 13, no. 2: 316. https://doi.org/10.3390/jpm13020316

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