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Zecchin M, Trevisan B, Baggio C, Bessi R, Saitta M, Salvatore L, Cappelletto C, Gregorio C, Bianco E, Longaro F, Carriere C, Zorzin-Fantasia A, Piccinin F, Dal Monte G, Sinagra G. Short- and long-term survival in patients over 90 years old undergoing pacemaker implantation. J Cardiovasc Med (Hagerstown) 2023; 24:625-630. [PMID: 37605954 DOI: 10.2459/jcm.0000000000001527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
AIMS In Italy, 12-month survival in the general population between 90 and 94 years old is 26%. In very old patients, the benefit of pacemaker implantation in terms of quality and duration of life is unclear. The aim of our study was to analyse clinical characteristics, outcome and factors associated with survival in patients at least 90 years old at the time of the first pacemaker implant. METHODS Clinical parameters, device characteristics, survival and predictors of outcome in patients at least 90 years old treated with a pacemaker in our centre in 2019-2020 were evaluated. RESULTS Among the 554 patients undergoing pacemaker implantation in our centre during the study interval, 69 (12%) were at least 90 years old; a complete/advanced atrioventricular block was present in 65%. A cardiological comorbidity (excluding atrial fibrillation) was present in 22 patients (32%). Oncological, pulmonary and neurological comorbidities were present in 12 (17%), 19 (28%) and 32 (46%), respectively. Renal impairment was present in 25 patients (36%). After pacemaker implantation, a pneumothorax developed in two patients and lead dislodgment in one. During follow-up (median 17 months, interquartile range: 13-24), 32 patients died (46%), with a 12-month mortality probability of 24.6%. At multivariate analysis, the presence of oncological (hazard ratio (HR) 5.31; P < 0.001) and neurological (HR 6.44; P < 0.001) comorbidities was associated with mortality. Truncating the outcome at 6 months, renal impairment (HR 8.01; P = 0.003), anticoagulant therapy (HR 8.14; P = 0.003), oncological comorbidities (HR 14.1; P < 0.001) and left ventricular function (5% increase of left ventricular ejection fraction: HR 0.66; P < 0.001) were significantly associated with outcome. CONCLUSION At our centre, patients at least 90 years old underwent pacemaker implantation mainly for advanced atrioventricular block. One-year survival was excellent, even better than expected in the general population.
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Affiliation(s)
- Massimo Zecchin
- Cardiovascular Department, Azienda Sanitaria Universitaria Integrata Giuliano Isontina, University of Trieste, Trieste, Italy
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Boriani G, Imberti JF, Bonini N, Carriere C, Mei DA, Zecchin M, Piccinin F, Vitolo M, Sinagra G. Remote multiparametric monitoring and management of heart failure patients through cardiac implantable electronic devices. Eur J Intern Med 2023; 115:1-9. [PMID: 37076404 DOI: 10.1016/j.ejim.2023.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/07/2023] [Accepted: 04/11/2023] [Indexed: 04/21/2023]
Abstract
In this review we focus on heart failure (HF) which, as known, is associated with a substantial risk of hospitalizations and adverse cardiovascular outcomes, including death. In recent years, systems to monitor cardiac function and patient parameters have been developed with the aim to detect subclinical pathophysiological changes that precede worsening HF. Several patient-specific parameters can be remotely monitored through cardiac implantable electronic devices (CIED) and can be combined in multiparametric scores predicting patients' risk of worsening HF with good sensitivity and moderate specificity. Early patient management at the time of pre-clinical alerts remotely transmitted by CIEDs to physicians might prevent hospitalizations. However, it is not clear yet which is the best diagnostic pathway for HF patients after a CIED alert, which kind of medications should be changed or escalated, and in which case in-hospital visits or in-hospital admissions are required. Finally, the specific role of healthcare professionals involved in HF patient management under remote monitoring is still matter of definition. We analyzed recent data on multiparametric monitoring of patients with HF through CIEDs. We provided practical insights on how to timely manage CIED alarms with the aim to prevent worsening HF. We also discussed the role of biomarkers and thoracic echo in this context, and potential organizational models including multidisciplinary teams for remote care of HF patients with CIEDs.
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Affiliation(s)
- Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy.
| | - Jacopo F Imberti
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Niccolò Bonini
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy
| | - Cosimo Carriere
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Davide A Mei
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy
| | - Massimo Zecchin
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Francesca Piccinin
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Marco Vitolo
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Gianfranco Sinagra
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
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Zecchin M, Trevisan B, Bessi R, Baggio C, Salvatore L, Cappelletto C, Gregorio C, Bianco E, Carriere C, Longaro F, Zorzin-Fantasia A, Saitta M, Piccinin F, Dal Monte G, Sinagra G. Medium term survival in patients over ninety years-old undergoing pacemaker implantation. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
According to the Italian National Statistical Institute, the 12-month probability of survival in the general population between 90 and 94 years-old is 26%. Pacemaker (PM) implantation is often an urgent and necessary intervention, but in these patients the benefit in terms of quality and duration of life is unclear.
Purpose
To analyze characteristics, outcome and factors associated with survival in patients who had turned 90 at the time of PM implant.
Methods
All the PM implants performed in patients ≥90 from 1/1/2019 to 12/31/2020 were analyzed. Clinical parameters, device characteristics and follow-up data were extrapolated from the SuitEstensa Ebit reporting system; the exitus was verified by analyzing data from the Regional Health System.
Results
During the study interval, among the 554 patients undergoing PM implantation in our Center, 69 (12%) were ≥90 years-old (mean age 92±2 years, 46% male; complete/advanced AV block in 76%). Twenty-six (38%) patients had history of atrial fibrillation and 19 (28%) ischemic heart disease. A cardiological co-morbidity (excluding AF) was present in 23 patients (33%). Oncological, pneumological and neurological comorbidities were present in 12 (18%), 19 (28%) and 32 (46%) respectively. Renal impairment was present in 25 patients (36%). In 47 patients (68%) there were at least 2 co-morbidities. After implantation (single-chamber in 36, dual-chamber in 25 and VDD single-lead dual-chamber in 8 patients) complications occurred in 3 patients (2 pneumothorax and 1 lead dislodgment). Remote monitoring was activated in 57 patients (83%).
Within August 31st 2021 (mean follow-up 288±193 days) 24 patients died (35%, 219±241 days after implant). Five patients (19% of patients implanted in 2019) died within 12 months. No patients died for device malfunction. Three patients died because of COVID-19 pneumonia.
Renal dysfunction (Hazard Ratio-HR 8.05, p=0.002) and the presence of 2 or more co-morbidities (HR 6.03; p=0.015) were associated with a higher risk of death at univariate analysis; other significant variables were diabetes (HR 2.34; p=0.038), left ventricular ejection fraction (LVEF) (HR 0.70 for 5% variation; p=0.005), walking impairment (HR 2.99, p=0.006), the presence of oncological (HR 2.21; p=0.003), pneumological (HR 2.55; p=0.024) and neurological (HR 1.90, p=0.007) comorbidities. At multivariable analysis the only significant parameter associated with survival was LVEF (0.76 for 5% difference; p=0.043)
Conclusions
At our Center, patients ≥90 years-old undergo PM implantation mainly for advanced AVB. The good survival in the medium term, even better than expected in the general population, does not justify a too conservative attitude especially, but exclusively, in patients with less comorbidities.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- M Zecchin
- Cattinara Hospital , Trieste , Italy
| | | | - R Bessi
- Cattinara Hospital , Trieste , Italy
| | - C Baggio
- Cattinara Hospital , Trieste , Italy
| | | | | | | | - E Bianco
- Cattinara Hospital , Trieste , Italy
| | | | - F Longaro
- Cattinara Hospital , Trieste , Italy
| | | | - M Saitta
- Cattinara Hospital , Trieste , Italy
| | | | | | - G Sinagra
- Cattinara Hospital , Trieste , Italy
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