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Olsen T, Jørgensen OD, Nielsen JC, Thøgersen AM, Philbert BT, Frausing MHJP, Sandgaard NCF, Johansen JB. Risk factors for cardiac implantable electronic device infections: a nationwide Danish study. Eur Heart J 2022; 43:4946-4956. [PMID: 36263789 PMCID: PMC9748591 DOI: 10.1093/eurheartj/ehac576] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/05/2022] [Accepted: 09/29/2022] [Indexed: 01/12/2023] Open
Abstract
AIMS Cardiac implantable electronic device (CIED) infection is a severe complication to modern management of cardiac arrhythmias. The CIED type and the type of surgery are recognized as risk factors for CIED infections, but knowledge of patient-related risk factors is scarce. This study aimed to identify lifelong patient-related risk factors for CIED infections. METHODS AND RESULTS Consecutive Danish patients undergoing a CIED implantation or reoperation between January 1996 and April 2018 were included. The cohort consisted of 84 429 patients undergoing 108 494 CIED surgeries with a combined follow-up of 458 257 CIED-years. A total of 1556 CIED explantations were classified as either pocket (n = 1022) or systemic CIED infection (n = 534). Data were cross-linked with records from the Danish National Patient Registry and the Danish National Prescription Registry. Using multiple-record and multiple-event per subject proportional hazard analysis, specific patient-related risk factors were identified but with several variations amongst the subtypes of CIED infection. CIED reoperations were associated with the highest risk of pocket CIED infection but also CIED type, young age, and prior valvular surgery [hazard ratio (HR): 1.62, 95% confidence interval (CI): 1.29-2.04]. Severe renal insufficiency/dialysis (HR: 2.40, 95% CI: 1.65-3.49), dermatitis (HR: 2.80, 95% CI: 1.92-4.05), and prior valvular surgery (HR: 2.09, 95% CI: 1.59-2.75) were associated with the highest risk of systemic CIED infections. Congestive heart failure, ischaemic heart disease, malignancy, chronic obstructive pulmonary disease, and temporary pacing were not significant at multivariate analysis. CONCLUSION Specific comorbidities and surgical procedures were associated with a higher risk of CIED infections but with variations amongst pocket and systemic CIED infection. Pocket CIED infections were associated with CIED reoperations, young age and more complex type of CIED, whereas systemic CIED infections were associated with risk factors predisposing to bacteraemia.
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Affiliation(s)
- Thomas Olsen
- Corresponding author. Tel: +45 2635 1337, Fax: +45 6541 3003,
| | - Ole Dan Jørgensen
- Department of Heart, Lung and Vascular Surgery, Odense University Hospital, J. B. Winsløws Vej 4, 5000 Odense, Region of Southern Denmark, Denmark,Danish Pacemaker and ICD Register, Department of Cardiology, Odense University Hospital, J. B. Winsløws Vej 4, 5000 Odense, Region of Southern Denmark, Denmark
| | - Jens Cosedis Nielsen
- Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus, Central Denmark Region, Denmark,Danish Pacemaker and ICD Register, Department of Cardiology, Odense University Hospital, J. B. Winsløws Vej 4, 5000 Odense, Region of Southern Denmark, Denmark
| | - Anna Margrethe Thøgersen
- Department of Cardiology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, North Denmark Region, Denmark
| | - Berit Thornvig Philbert
- Department of Cardiology, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Capital Region of Denmark, Denmark,Danish Pacemaker and ICD Register, Department of Cardiology, Odense University Hospital, J. B. Winsløws Vej 4, 5000 Odense, Region of Southern Denmark, Denmark
| | - Maria Hee Jung Park Frausing
- Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus, Central Denmark Region, Denmark
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Wang H, Song Y, Sun S, Gao L, Liu L, Meng G, Wu H, Xia Y, Bao X, Gu Y, Shi H, Su Q, Fang L, Yang H, Wang X, Zhou M, Jia Q, Song K, Zhang Q, Niu K. The association between immunoglobulin concentrations and prediabetes prevalence in a large Chinese cohort. Metabolism 2017; 73:77-84. [PMID: 28732573 DOI: 10.1016/j.metabol.2017.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 05/18/2017] [Accepted: 05/24/2017] [Indexed: 01/16/2023]
Abstract
AIMS Prediabetes has received public attention owing to the increasing prevalence worldwide. Mounting evidence has indicated that inflammation directly contributed to the etiology of glucose metabolism disorders. Although immunoglobulins play a crucial role in immune responses, little research has been done on the link between immunoglobulins and prediabetes in adults. Hence, the aim of the present study was to explore the associations between immunoglobulins levels and prevalence of prediabetes in a general adult population. METHODS A cross-sectional study was conducted among 8856 adults (mean±standard deviation age: 48.4±10.7years) in Tianjin, China. The serum immunoglobulins concentrations were measured by the immunonephelometric technique. Prediabetes was diagnosed using the following parameters in accordance with the American Diabetes Association: fasting plasma glucose, postprandial glucose and glycosylated hemoglobin. The associations between concentrations of immunoglobulins and the prevalence of prediabetes were assessed using multiple logistic regression models. RESULTS Overall, the prevalence of prediabetes was 37.4% (3311/8856). After controlling for confounders, compared with the lowest quintile, the odds ratios (95% confidence interval) of prediabetes for the highest quintile of immunoglobulins (immunoglobulin G, immunoglobulin E, immunoglobulin M and immunoglobulin A) were as follows: 1.06 (0.91-1.23), 1.31 (1.13-1.52), 0.86 (0.74-1.01), and 1.19 (1.03-1.38) (P for trend were 0.35, <0.0001, 0.04 and 0.02), respectively. CONCLUSIONS Elevated immunoglobulin E and immunoglobulin A levels were independently and positively associated with prediabetes prevalence. There was also a trending association between immunoglobulin M concentrations and prediabetes prevalence. Further studies are necessary to clarify if there is a causal association of immunoglobulins in prediabetes or if they reflect early immunologic disturbances in these patients.
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Affiliation(s)
- Honglei Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yanqi Song
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Gao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yang Xia
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xue Bao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongbin Shi
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qian Su
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Liyun Fang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huijun Yang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
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Herrinton LJ, Demers PA, Koepsell TD, Weiss NS, Daling JR, Taylor JW, Lyon JL, Swanson GM, Greenberg RS. Epidemiology of the M-component immunoglobulin types of multiple myeloma. Cancer Causes Control 1993; 4:83-92. [PMID: 8481497 DOI: 10.1007/bf00053148] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The purpose of this population-based case-control study was to learn whether risk factors differ for the individual immunoglobulin types of multiple myeloma. In particular, we sought to determine whether IgA and IgG myeloma were related to a history of exposure to reported IgA- and IgG-stimulating conditions, respectively, or to a history of selected occupational and physicochemical exposures. The M-component immunoglobulin type was determined from immunoelectrophoresis as reported in medical records, and exposure status was obtained through in-person interviews. IgG (56 percent) and IgA (22 percent) M-components predominated. For 17 percent of cases, no peak was found on immunoelectrophoresis; they were presumed to have light-chain myeloma. Persons with these three types of myeloma did not differ with respect to distributions of age or race, but a somewhat higher proportion of light-chain cases were women (58 percent cf 45 percent of all other cases). Detailed analysis of the IgA and IgG subtypes provided little evidence that they differ with respect to prior immune stimulation or employment in several specific jobs. IgA myeloma, but not IgG myeloma, was associated modestly with a history of exposure to chest and dental X-rays. Our study provides little evidence that IgA and IgG myeloma differ with respect to the risk factors examined.
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Affiliation(s)
- L J Herrinton
- Department of Epidemiology, University of Washington, Seattle
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