International Journal of Clinical Medicine
Vol. 3  No. 7 (2012) , Article ID: 25601 , 5 pages DOI:10.4236/ijcm.2012.37105

New Onset of Atrial Fibrillation in a Medical ICU: Prevalence and Risk Factors

S. Della Ayed, S. Ayed, R. Atig, N. Tilouche, H. Ben Sik Ali, R. Gharbi, M. Fekih Hassen, S. Elatrous*

Service de Réanimation Médicale, EPS Taher Sfar Mahdia, Mahdia, Tunisie.

Email: *Souheil.elatrous@rns.tn

Received September 25th, 2012; revised October 20th, 2012; accepted November 16th, 2012

Keywords: Atrial Fibrillation; Medical ICU; Prevalence; Risk Factors

ABSTRACT

Objectives: To evaluate the prevalence and the risk factors of new onset atrial fibrillation (AF) in a single medical ICU. Methods: A prospective observational study was conducted in a 10 bed single medical ICU over a period of 18 months. All patients with sinus rhythm admitted in the medical ICU were included. Those presenting with any arrhythmia on admission, having a PACEMAKER or having undergone a recent cardiothoracic surgery were excluded. Results: Of the 377 patients included on the study, atrial fibrillation occurred in 26 patients (7%). Patients who developed AF were older, had higher severity scores on admission, and required significantly more fluids, catecholamine, and mechanical ventilation. They had a longer ICU and hospital LOS. ICU mortality was significantly higher in AF patients. Five independent risk factors of AF were identified by multivariate analysis: advanced age, the presence of COPD, sepsis, cardiogenic shock, and hypoxemia. Conclusion: AF occurs in approximately 7% of medical critically ill patients and is associated with age, a history of COPD, the presence of sepsis, cardiogenic shock and hypoxemia. AF occurs in more critically ill patients and is associated with increased morbidity and mortality.

1. Introduction

Atrial fibrillation (AF) is the most common arrhythmia observed in whole population with an incidence of 0.5%, increasing to 1% above 75 years [1,2]. It has been well established that AF in ICU is increased after cardiothoracic surgery and is associated with a high morbidity and mortality [3,4].

In previous studies conducted in surgical or medicosurgical ICU, it was established that factors associated with AF were: severity of illness, trauma, cardiac surgery and intense inflammatory response, need for mechanical ventilation, catecholamine and fluids, and having a prolonged ICU stay [3,5,6]. When a multivariate analysis is performed, the most common risk factors associated with the development of AF are: elevated age, thoracic trauma, sepsis and severity of illness [7,8].

In Tunisia, the real prevalence and the risk factors of new onset AF in a medical ICU are in our knowledge still undefined.

This prospective study was conducted to evaluate the incidence and the risk factors of new onset AF in a single medical ICU.

2. Materials and Methods

This prospective observational study was conducted in a 10 bed medical ICU of a 500 bed Tunisian tertiary teaching hospital over a period of 18 months (from the 1st of July 2009 to the 30th of December 2010).

No informed consent was needed conforming to the decision of the local ethic committee.

Study design: All patients admitted to ICU with sinus rhythm were included. Those presenting with any arrhythmia on admission, having a Pacemaker or having undergone a recent cardiothoracic surgery were excluded.

All patients were continuously monitored (Nihon Coden monitor, Space Labs monitor).

AF was suspected if the ventricular rate was higher than 110 beats/min or lower than 110 beats/min and associated with an irregular R-R interval and confirmed by a 12-lead electrocardiogram revealing irregular, chaotic atrial activity with no apparent P waves and with irregular ventricular activity [9].

The following variables were recorded for all patients: age, sex, comorbidity factors such as cardiovascular (hypertension, history of coronary artery disease, myocardial infarction, heart failure, cardiomyopathy), chronic pulmonary disease (COPD, obstructive sleep apnea) and diabetes mellitus. Previous regular medications were also recorded: β-blocking agents, calcium channel inhibitors, angiotensin converting enzyme inhibitors, diuretics, nitrates, any antiarrhythmic drugs, and inhalative β-adrenoreceptor agonist. The cause of admission in ICU was recorded.

The APACHE II [10] and Simplified Acute Physiology Score II (SAPS II) [11] were calculated 24 hours after admission. Workload was evaluated by OMEGA scoring [12].

Medical ICU and hospital length of stay (LOS) and mortality were recorded.  

The following variables were recorded daily during the first 7 days of hospitalization in the ICU or until the onset of AF: fluid therapy if needed, mechanical ventilation, need and type of catecholamine(s), number of episodes of hypoxia, and the presence or absence of SIRS, sepsis, and acute renal failure. The presence of central venous catheter before the onset of AF and for patients who did not develop AF was recorded. The biological parameters such as serum levels of potassium, magnesium, creatinine, hematocrite and parotids were recorded during the first 7 days of hospitalization or until the AF occurred.

Systemic Inflammatory response syndrome (SIRS) was defined as the presence of at least two of the following criteria [13]: temperature above 38.0˚C or below 36.5˚C, respiratory rate higher than 20 breaths/min or arterial CO2 tension lower than 32 mmHg or need for mechanical ventilation, heart rate more than 90 beats/min, white blood cell count greater than 12 × 109/l or lower than 4 × 109/l, blood Glucose more than 7.7 mmol/l, capillary coloration time > 2 seconds, lactates more than 2 mmol/l, and impaired neurologic functions. Sepsis was defined as SIRS associated with evidence of infection and septic shock as sepsis induced hypotension persisting despite adequate fluid resuscitation [14].  

Hypoxemia was defined by pulse oximetry (SpO2) lower than 90% for more than 10 min.  

Acute renal failure was defined according to the AKIN classification [15] either by a rise on serum creatinine above 50% and/or oliguria below 0.5 ml/kg/day for more than 6 hours and/or need for dialysis.

Statistical analysis:

Statistical analysis was performed by SPSS 17 software package.

For continuous variables, the mean ± SD was reported, and for categorical variables the number of patients in each category and the corresponding percentage were given.

The characteristics of patients who developed AF and those who did not were compared using Student’s t test for continuous variables, and the χ2 or Fisher’s exact test for categorical variables.  

To identify risk factors independently associated with the occurrence of AF, variables found to be different with p < 0.2 between the two groups were entered into a forward stepwise logistic-regression model. All patients were entered in this model (no missing data).  

3. Results

During the study period, a total of 377 patients were admitted to the medical ICU. The mean age was 55 ± 20 years and 55% were male.

The severity assessed by APACHEII and SAPSII scores was respectively 15 ± 9 and 31 ± 8. The major comorbidity observed was cardiovascular. Patients’ medication history before admission includes beta-blockers in 4% of cases, calcium-channel-blockers in 15% of cases and inhibitors of angiotensin converting enzyme in 4% of cases. No patient was treated with digoxin.

Fifty per cent of patients were admitted for acute respiratory failure, 18% for shock and 12% for sepsis.

The mean ICU and hospital length of stay were 7 ± 10 days and 9 ± 10 days respectively. The overall mortality was 22.8%.

The prevalence of new onset AF was 7%. AF occurred mainly within the first three days after admission and lasted mainly for 24 hours. Patients with AF had higher SAPS II and APACHE II score (43 ± 18 and 19 ± 7 respectively versus 30.2 ± 17 and 15.1 ± 9 respectively, p < 10−3 and p < 0.021 respectively), required significantly more fluid loading, catecholamine administration and mechanical ventilation. They experienced significantly more sepsis, hypoxemia and acute renal failure. Central venous catheters were inserted more frequently in AF patients (Table 1).

At the onset of AF, the biological parameters did not differ significantly between the two groups.

Workload evaluated by OMEGA scoring was significantly greater. Patients with AF had a significant longer ICU and hospital LOS. ICU mortality was higher among patients with new onset AF when compared with non AF patients (Table 2).

The treatment of AF consisted of electrical cardioversion and Amiodarone in 42% (11/26) of patients with AF. Amiodarone alone was used in 23% (6/26) of patients. Digoxin and Diltiazem were administered along with Amiodarone in two and one patient respectively.

For four patients, AF resolved spontaneously and for four other patients, additional treatment with potassium and magnesium was administered.

AF resolved only in 56% of patients, in a mean delay of 14 hours.

The multivariate logistic regression analysis examining the independent risk factors of developing AF is illustrated in Table 3. The advanced age, the presence of

Table 1. Demographic and clinical characteristics in patients with and without atrial fibrillation (univariate analysis).

Table 2. Outcomes of patients with and without atrial fibrillation.

Table 3. Logistic regression analysis for risk factors of atrial fibrillation.

COPD, sepsis, cardiogenic shock and hypoxia were significantly associated with the occurrence of AF.

4. Discussion

To our knowledge, this is the first study conducted in a single medical ICU analysing the prevalence and the risk factors of new onset atrial fibrillation in medical patients.

Overall prevalence of new onset AF in our study was 7%.

Patients experiencing AF were more critically ill and septic, requiring more supportive therapy with mechaniccal ventilation, catecholamine and fluid loading and developing more hypoxia and acute renal failure. Length of stay in ICU and in hospital was higher in AF patients and mortality was significantly elevated. The independent risk factors of developing atrial fibrillation are advanced age, sepsis, COPD, cardiogenic shock and hypoxia.

The incidence of atrial fibrillation found in our study seems consistent with previous studies performed in non cardiac ICU’s or in medico-surgical ICU’s (1.8% to 10%) [3,5,6,8,16-20], although, many of these studies did not focus only on atrial fibrillation and have evaluated a broad variety of arrhythmias. In the study by Seguin et al. [17], AF occurred in 5.5% of all exclusively trauma patients. Annane and al [8] in a multicenter study conducted in a medico-surgical ICU with 76% of patients being medical found 6.5% of new onset AF. Knotzer and al [6] performed a study in a surgical ICU with two third of patients having undergone a cardiothoracic surgery and reported 9% of AF.

Age is a well-recognized risk factor of AF in the general population as well as in ICU. In our study, age was found to be an independent risk factor of AF. Similarly, in the study by Knotzer [6] and Reinelt [1], advanced age was an independent risk factor of AF and the mean age of patients with AF was 68 ± 12 and 65 ± 12 years respectively. Amar et al. [21] showed that some changes in the atrial configuration are observed with age including atrial dilation and fibrosis. Atrophy of the atrial muscle can be aggravated with age leading to loss of atrial contraction and conduction [22].

COPD was a second independent risk factor of AF in our study population. This may be explained by the structural changes induced in the heart including a change on the right atrium and ventricular functions [23].

SIRS and Sepsis are now well known to be associated with AF. In our study, sepsis was an independent risk factor of developing AF. Several studies showed the same conclusion: Knotzer et al. [6] found SIRS in 85% of patients with tachyarrhythmia (60% of AF). Seguin et al. [3] found SIRS in 50% of patients with AF. There is actually increasing evidence that the systemic inflammatory response is a predominant trigger of AF in critically ill patients. Some studies have demonstrated an association of elevated CRP levels with the development and maintenance of AF [14,24,25]. Chung and colleagues [26] found two-fold higher CRP levels in patients with AF than in control subjects. Furthermore, patients with persistent AF had higher CRP levels than those with paroxysmal AF, suggesting that inflammation plays an important role in the maintenance of AF [26].

We found that patients developing new onset AF experienced more cardiogenic shock. This can be in part explained by SIRS that occurs after myocardial infarction, increasing the inflammatory response and leading to the development and the maintenance of AF as described above [24]. On the other hand, acute changes of the cardiac functions may induce persistent AF.

In addition to these factors, hypoxemia was an important risk factor of AF in our study. This factor was found by Knotzer et al. [6], but in the Seguin study, no significant difference was found [3]. Hypoxemia is susceptible to produce a multitude of myocardial electro physicologic effects and a broad variety of arrhythmias including AF [27].

Hypotention and consequently the use of catecholamine were identified as risk factor only in univariate analysis in our study. In ICU patients the administration of exogenous catecholamines elicits both α- and β- adrenergic receptors that favor the risk of arrhythmia [28].

Sex and severity of illness were the other independent risk factors found in the previous studies. In our study, these factors differed significantly between patients with AF and controls, but they were not independently associated with AF.

Amiodarone the most used antiarrhythmic drug therapy used in our study, is an effective and safe drug for converting AF to sinus rhythm. Conversion of AF should not be attempted 48 h after onset without anticoagulation or transesophageal echocardiography to rule out intracardiac thrombus formation. In order to avoid thromboembolism after cardioversion, an effective anticoagulation is mandatory.

Finally, as others [3,17], we found that new onset AF result in longer ICU and hospital stay and increased mortality [18].

In conclusion, our study showed that AF occurs in approximately 7% of medical critically ill patients and is associated with age, a history of COPD, the presence of sepsis, cardiogenic shock and hypoxemia. AF occurs in more critically ill patients and is associated with increased morbidity and mortality in ICU.

REFERENCES

  1. P. Reinelt, G. D. Karth, A. Geppert and G. Heinz, “Incidence and Type of Cardiac Arrhythmias in Critically Ill Patients: A Multicenter Experience in a Medical-Cardiological ICU,” Intensive Care Medicine, Vol. 27, No. 9, 2001, pp. 1466-1473. doi:10.1007/s001340101043
  2. C. D. Furberg, B. M. Psaty, T. A. Manolio, J. M. Gardin, V. A. Smith and P. M. Rautaharju, “Prevalence of Atrial Fibrillation in Elderly Subjects (The Cardiovascular Health Study),” American Journal of Cardiology, Vol. 74, No. 3, 1994, pp. 236-241. doi:10.1016/0002-9149(94)90363-8
  3. P. Seguin, T. Signouret, B. Laviolle, B. Branger and Y. Mallédant, “Incidence and Risk Factors of Atrial Fibrillation in a Surgical Intensive Care Unit,” Critical Care Medicine, Vol. 32, No. 3, 2004, pp. 722-726. doi:10.1097/01.CCM.0000114579.56430.E0
  4. W. B. Kannel, R. D. Abbott, D. D. Savage and P. M. McNamara, “Coronary Heart Disease and Atrial Fibrillation: The Framingham Study,” American Heart Journal, Vol. 106, No. 2, 1983, pp. 389-396. doi:10.1016/0002-8703(83)90208-9
  5. H. Artucio and M. Peireira, “Cardiac Arrhythmias in Critically Ill Patients: Epidemiologic Study,” Critical Care Medicine, Vol. 18, No. 12, 1990, pp. 1383-1388. doi:10.1097/00003246-199012000-00015
  6. H. Knotzer, A. Mayr, H. Ulmer, W. Lederer, W. Schobersberger, N. Mutz and W. Hasibeder, “Tachyarrhythmias in a Surgical Intensive Care Unit: Case-Controlled Epidemiologic Study,” Intensive Care Medicine, Vol. 26, No. 7, 2000, pp. 908-914. doi:10.1007/s001340051280
  7. W. H. Maisel, J. D. Rawn and W. G. Stevenson, “Atrial Fibrillation after Cardiac Surgery,” Annals of Internal Medicine, Vol. 135, 2001, pp. 1061-1073.
  8. D. Annane, V. Sebille, D. Duboc, J. Y. LeHeuzey, N. Sadoul, E. Bouvier, et al., “Incidence and Prognosis of Sustained Arrhythmias in Critically Ill Patients,” American Journal of Respiratory and Critical Care Medicine, Vol. 178, No. 1, 2008, pp. 20-25. doi:10.1164/rccm.200701-031OC
  9. S. M. Hollenberg and R. P. Dellinger, “Non Cardiac Surgery: Post Operative Arrhythmias,” Critical Care Medicine, Vol. 28, No. 10, 2000, pp. 145-150. doi:10.1097/00003246-200010001-00006
  10. W. A. Knaus, E. A. Draper, D. P. Wagner and J. E. Zimmerman, “APACHEII. A Severity Score of Disease Classification System,” Critical Care Medicine, Vol. 13, No. 10, 1985, pp. 818-829. doi:10.1097/00003246-198510000-00009
  11. J. R. Le Gall, S. Lemeshow and F. Saulnier, “A New Simplified Acute Physiology Score (SAPSII) Based on a European/North American Multicenter Study,” Journal of the American Medical Association, Vol. 270, 1993, pp. 2957-2963. doi:10.1001/jama.270.24.2957
  12. Commission d’Evaluation de la Société de Réanimation en Langue Française. Utilisation de l’Indice de Gravité Simplifié et du Système Oméga. Mise à Jour 1986,” Réanimation Soins Intensifs Med Urgences, Vol. 2, 1986, pp. 219-221.
  13. M. M. Levy, M. P. Fink, J. C. Marshall, E. Abraham, D. Angus, D. Cook, J. Cohen, S. M. Opal, J. L. Vincent and G. Ramsay, “2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference,” Critical Care Medicine, Vol. 31, No. 4, 2003, pp. 1250-1256. doi:10.1097/01.CCM.0000050454.01978.3B
  14. M. M. Levy, J. M. Carlet, J. Bion, M. M. Parker, R. Jaeschke, et al., “Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock: 2008,” Intensive Care Medicine, Vol. 34, No. 1, 2008, pp. 17-60. doi:10.1007/s00134-007-0934-2
  15. R. L. Mehta, J. A. Kellum, S. V. Shah, B. A. Molitoris, C. Ronco, et al., “Acute Kidney Injury Network: Report of an Initiative to Improve Outcomes in Acute Kidney Injury,” Critical Care, Vol. 11, 2007, p. R31. doi:10.1186/cc5713
  16. R. Meierhenrich, E. Steinhilber, C. Eggermann, M. Weiss, et al., “Incidence and Prognostic Impact of New-Onset Atrial Fibrillation in Patients with Septic Shock: A Prospective Observational Study,” Critical Care, Vol. 14, 2010, p. R108. doi:10.1186/cc9057
  17. P. Seguin, B. Laviolle, A. Maurice, C. Leclercq and Y. Malledant, “Atrial Fibrillation in Trauma Patients Requiring Intensive Care,” Intensive Care Medicine, Vol. 32, No. 3, 2006, pp. 398-404. doi:10.1007/s00134-005-0032-2
  18. D. Brathwaite and C. Weissman, “The New Onset of Atrial Arrhythmias Following Major Noncardiothoracic Surgery Is Associated with Increased Mortality,” Chest, Vol. 114, No. 2, 1998, pp. 462-468. doi:10.1378/chest.114.2.462
  19. L. Goldman, “Supraventricular Tachyarrhythmias in Hospitalized Adults after Surgery. Clinical Correlates in Patients over 40 Years of Age after Major Noncardiac Surgery,” Chest, Vol. 73, No. 4, 1978, pp. 450-454. doi:10.1378/chest.73.4.450
  20. J. S. Bender, “Supraventricular Tachyarrhythmias in the Surgical Intensive Care Unit: An Under-Recognized Event,” American Surgeon, Vol. 62, No. 1, 1996, pp. 73-75.
  21. D. Amar, H. Zhang, D. H. Y. Leung, N. Poistacher and A. H. Kadish, “Older Age Is the Strongest Predictor of Postoperative Atrial Fibrillation,” Anesthesiology, Vol. 96, No. 2, 2002, pp. 352-356. doi:10.1097/00000542-200202000-00021
  22. B. M. Psaty, T. A. Manolio, L. H. Kuller, R. A. Kronmal, M. Cushman, L. P. Fried, et al., “Incidence and Risk Factors for Atrial Fibrillation in Older Adults,” Circulation, Vol. 96, No. 2, 1997, pp. 2455-2461. doi:10.1161/01.CIR.96.7.2455
  23. T. Liu, G. P. Li and L. J. Li, “Atrial Dilatation and Atrial Fibrillation: A Vicious Circle?” Medical Hypotheses, Vol. 65, No. 2, 2005, pp. 410-411. doi:10.1016/j.mehy.2005.03.004
  24. T. T. Issac, H. Dokainish and N. M. Lakkis, “Role of Inflammation in Initiation and Perpetuation of Atrial Fibrillation: A Systematic Review of the Published Data,” Journal of the American College of Cardiology, Vol. 50, No. 21, 2007, pp. 2021-2028. doi:10.1016/j.jacc.2007.06.054
  25. R. J. Aviles, D. O. Martin, C. Apperson-Hansen, P. L. Houghtaling, P. Rautaharju, R. A. Kronmal, R. P. Tracy, D. R. Van Wagoner, B. M. Psaty, M. S. Lauer and M. K. Chung, “Inflammation as a Risk Factor for Atrial Fibrillation,” Circulation, Vol. 108, 2003, pp. 3006-3010. doi:10.1161/01.CIR.0000103131.70301.4F
  26. M. K. Chung, D. O. Martin, D. Sprecher, O. Wazni, A. Kanderian, C. A. Carnes, J. A. Bauer, P. J. Tchou, M. J. Niebauer, A. Natale and D. R. Van Wagoner, “C-Reactive Protein Elevation in Patients with Atrial Arrhythmias: Inflammatory Mechanisms and Persistence of Atrial Fibrillation,” Circulation, Vol. 104, 2001, pp. 2886-2891. doi:10.1161/hc4901.101760
  27. K. Ramaswamy and M. H. Hamdan, “Ischemia, Metabolic Disturbances and Arrhythmogenesis: Mechanisms and Management,” Critical Care Medicine, Vol. 28, No. 10, 2000, pp. 151-157. doi:10.1097/00003246-200010001-00007
  28. S. M. Hollenberg and R. P. Dellinger, “Noncardiac Surgery: Postoperative Arrhythmias,” Critical Care Medicine, Vol. 28, No. 10, 2000, pp. 145-150. doi:10.1097/00003246-200010001-00006

NOTES

*Corresponding author.