Israel Medical Association Journal

Background: Food intake has an immediate effect on the cardiovascular system. However, the effect of a large meal as an immediate trigger for the acute coronary syndrome has not been assessed.

Objectives: To assess the relative risk for an ACS[1] within a few hours after the ingestion of a heavy meal.

Methods: In a case-crossover study 209 patients were interviewed a median of 2 days after an ACS. Ingestion of a large meal in the few hours immediately before the onset of ACS was compared with the comparable few hours the day before and with the usual frequency of large meals over the past year. Large meals were assessed by a 5 level scale.

Results: The relative risk of an acute coronary event during the first hour after a heavy meal ingestion was RR[2] = 7 (95% confidence interval 0.75–65.8) when the day before the ACS served as the control data and RR = 4 (95% CI[3] 1.9–8.6) when the usual frequency of heavy meals ingestion during the previous year served as the control data. 

Conclusions: The ingestion of heavy meals can trigger the onset of an ACS. Education of the population to avoid heavy meals, especially in people at high risk for coronary heart disease, should be included in the prevention of ACS. Research on specific nutrients that may act as potential triggers for ACS should be considered.

Background: Oral anticoagulation with warfarin can lead to life-threatening events as a result of either over-anticoagulation or undertreatment. One of the main contributors to an undesirable warfarin effect is the need to adjust its daily dose for a specific patient. The dose is adjusted empirically based on the experience of the clinician, a method that is often imprecise. There is currently no other well-accepted method for predicting the maintenance dose of warfarin.

Objective: To describe the application of an artificial neural network to the problem of warfarin maintenance dose prediction.

Methods: We designed a neural network that predicts the maintenance dose of warfarin. Data on 148 patients attending a large anticoagulant clinic were collected by file review. Using correlational analysis of the patients' data we selected the best input variables. The network was trained by using the back-propagation algorithm on a subset of our data and the results were validated against the rest of the data. We used a multivariate linear regression to create a comparable model.

Results: The neural network generated reasonable predictions of the maintenance dose (r = 0.823). The results of the linear regression model were similar (r = 0.800).

Conclusion: Neural networks can be applied successfully for warfarin maintenance dose prediction. The results are promising, but further investigation is needed.
 

Background: Hypertension is considered resistant if blood pressure cannot be reduced to <140/90 mmHg with an appropriate triple-drug regimen, including an oral diuretic, with all agents administered at maximal dosages. This definition has evolved with the development of new therapies and evidence-based data supporting treatment to lower BP[1] goals.

Objective: To assess whether vitamin C and atorvastatin improve endothelial function and blood pressure control in subjects with resistant arterial hypertension and dyslipidemia.

Methods: Forty-eight hyperlipidemic subjects with RH[2] (office systolic BP >140 mmHg and/or office diastolic BP >90 mm/Hg notwithstanding antihypertensive treatment with three medications in maximal doses) were randomized into three groups to receive additional medication for 8 weeks. Group VTC (n = 17) – mean 24 hour SBP[3] 150.6 ± 5.2 mmHg, DBP[4] 86.1 ± 3.3 mmHg, low density lipoprotein 158.1 ± 24.5 mg/dl) – received vitamin C 500 mg per day; Group ATR (n = 15) – mean 24 hour SBP 153.1 ± 4.8 mmHg, DBP 87.1 ± 6.7 mmHg, LDL[5] 162.6 ± 13.6 mg/dl) – received atorvastatin 20 mg/day; and Group PLA (n = 16) – mean 24 hour SBP 151.1 ± 7.4 mmHg, DBP 84.8 ± 5.9 mmHg, LDL 156.7 ± 26.1 mg/dl – received a placebo. High resolution ultrasound was used to calculate brachial artery flow-mediated dilation, and 24 hour ambulatory BP monitoring was performed at study entry and after 8 weeks.

Results: In the ATR group there were significant reductions of SBP (DSBP1-2: 13.7 ± 5.6 mmHg, P < 0.001), DBP (DDBP1-2: 7.8 ± 5.7 mmHg, P < 0.01), LDL (DLDL1-2: 67.7 ± 28.3 mg/dl, P < 0.001) and improvement of brachial artery FMD[6] (DFMD2-1: 4.2 ± 2.6%). No significant changes in BP, LDL and FMD were observed in the other two groups.

Conclusions: In subjects with RH and dyslipidemia, atorvastatin 20 mg/day compared to vitamin C 500 mg/day may help to achieve better BP control and improve endothelial function in a finite period. A larger trial is needed to assess the drug's efficacy in this population for longer periods.

Background: Cardiac rupture is a rare but ominous complication of myocardial infarction.

Objectives: To study the clinical presentation, medical course, outcome and echocardiographic predictors of patients with myocardial rupture.

Methods: We evaluated 15 consecutive patients with cardiac rupture during a 4 year period in our department. The current report explores the presence of potential risk factors, timing, relation to the thrombolysis, coronary interventions and outcome.

Results: The index event in all patients was first ST elevation myocardial infarction. In seven patients rupture occurred in the first 24 hours. Pericardial effusion on admission with a clot was present in three patients. Five patients received thrombolytic therapy. Only three patients underwent coronary angioplasty, but in one case it was performed late and in two patients the culprit artery could not be opened. Six patients reached the operating room, of whom three survived.

Conclusions: The lack of early mechanical reperfusion in acute myocardial infarction and thrombolytic therapy are risk factors for cardiac rupture. Pericardial effusion on admission and evidence of a clot are echocardiographic indicators of cardiac rupture and should alert the medical team to further assess the possibility of cardiac rupture.
 

Obstructive sleep apnea syndrome is a major public health hazard affecting 2–4% of the adult population; only 10% of these patients are recognized by healthcare providers. In the last decade the number of referrals for polysomnography increased threefold in Israel, compared to 12-fold worldwide, and is expected to increase even more in the coming years. This constant demand for PSG[1] studies is beyond the current capacity of sleep laboratories, thus preventing diagnosis for most patients with suspected OSAS[2]. In the current review, we examine problems facing decision-makers on how to treat the increasing flood of patients presenting with symptoms suggestive of sleep-disordered breathing. We evaluate the cost-effectiveness of current technologies for OSA diagnosis, i.e., laboratory versus at-home technologies. We conclude that no current alternative exists to the use of PSG for OSA diagnosis. When at-home technologies are suggested for OSAS diagnosis, data should be provided on factors influencing its cost-effectiveness, e.g., accuracy rates of diagnosis, relative cost of human resources, and case-mix of patients tested. Since PSG remains the gold standard for diagnosis of OSAS, in Israel resources should be allocated to increasing the volume of beds for PSG studies in order to increase access to diagnosis and treatment, which in turn provides better quality of life, saves scarce resources of the healthcare system, prevents unnecessary accidents and increases workers’ productivity.

Background: Various medical centers in Israel have recently incorporated electronic medical record systems. Knowing the EMR[1] systems’ features and pattern of use is an essential step for developing locally and nationally integrated systems.

Objectives: To evaluate the status of EMR systems in all major general hospitals in Israel in terms of the applications used and the patterns of use.

Methods: Structured questionnaires were sent to hospital directors and directors of medical informatics units of 26 general and pediatric hospitals serving the vast majority of the population in Israel. The qheuestionnaire included questions pertaining to the EMR systems, their usage and the attitude of the participants to data security issues.

Results: Of the 26 general hospitals 23 (88.4%) returned the questionnaires. Of these, 21 (91.3%) use EMR systems. Twenty-seven different types of systems are in use in Israeli hospitals, and generally more than one type is used in a hospital. [YD1] Physicians work with EMR systems in over 98% of the departments. Also, the EMR systems are used for clinical admission and discharge in over 90% of the departments and for medical daily follow-up in about 45%.

Conclusions: Most of the hospitals in Israel use EMR systems but there is no standard data model. Physicians are the main users but the amount of data entered is still limited. Adoption of standards is essential for integration of electronic patient records across Israeli healthcare organizations.

Background: Until recently trimethoprim-sulfamethoxazole was the drug recommended in the Leumit Health Fund for the empiric treatment of uncomplicated urinary tract infection in women. However, due to increased uropathogen resistance to this drug, the fund has designated nitrofurantoin as its new drug of choice.

Objectives: To evaluate the potential economic impact of implementing this new pharmaco-policy.

Methods: Using data derived from the electronic patient records of the Leumit Health Fund we identified all non-recurrent cases of women aged 18–49 with a diagnosis of acute cystitis or UTI[1] without risk factors for complicated UTI and empirically treated with antibiotics throughout 2003. The final sample comprised 5,489 physician-patient encounters. The proportion of cases treated with each individual drug was calculated, and the excess expenditure due to non-adherence to the new guideline from the perspective of the health fund was evaluated using 5 days of therapy with nitrofurantoin as the reference treatment.

Results: Ofloxacin was the most frequently prescribed drug (30.24%), followed by TMP-SMX[2] (22.43%), cephalexin (15.08%), and nitrofurantoin (12.59%). The observed net aggregate drug expenditure was 2.3 times greater than expected had all cases been treated with nitrofurantoin according to the guideline duration of 5 days. The cost of treatment in 53% of the cases exceeded the expected cost of the guideline therapy.

Conclusions: Successful implementation of the new drug policy will likely improve quality of care and reduce costs to the health fund.