Israel Medical Association Journal

Background: Diabetic ketoacidosis (DKA) is an acute metabolic, life-threatening complication of diabetes mellitus with a mortality rate that now stand at less than 1%. Although mortality is coupled with the etiology of DKA, literature on the influence of DKA etiology on patient outcome is scarce.

Objectives: To study different triggers for DKA and their effect on outcomes.

Methods: We conducted a retrospective study that include 385 DKA patients from 2004 to 2017. The study compared demographics, clinical presentation, and mortality rates by different precipitating factors.

Results: Patients with DKA due to infections had a higher risk to develop in-hospital mortality after controlling for age and sex (odds ratio 4.40, 95% confidence interval 1.35–14.30), had a higher Charlson Comorbidity Index score, a higher risk of being mechanical ventilated (14% vs. 3%, P < 0.01), and a longer duration of hospitalization (5 days vs. 3 days, P < 0.001).

Conclusions: It is crucial to find the triggers that precipitate DKA and start the treatment as early as possible in addition to the metabolic aspect of the treatment especially when the trigger is an infectious disease.

Background: Physiotherapy can help treat of trigger fingers (TF).

Objectives: To compare efficacy of fascial manipulation (FM) and traditional physiotherapy (TP) techniques in treatment of TF.

Methods: Nineteen patients were randomized in the FM group and 15 in the TP group. All patients underwent eight physiotherapy sessions. The Disabilities of the Arm, Shoulder, and Hand (QuickDASH) and visual analogue scale (VAS) scores, staging of stenosing tenosynovitis (SST) classification, triggering frequency, grip and pinch strength were recorded before and after treatment. We surveyed participants at 6 months for recurrence, further treatment, and the VAS and QuickDASH scores. The primary outcome measure was reduction in QuickDASH and VAS scores.

Results: Both FM and TF improved the QuickDASH and VAS scores at 6 months follow-up, without a significant difference. The QuickDASH score in the FM group improved from 28.4 ± 17.1 to 12.7 ± 16.3; TF scores improved from 27 ± 16.7 to 18.8 ± 29.4 (P = 0.001). The VAS score improved from 5.7 ± 2.1 to 1.2 ± 2.1 and from 4.8 ± 1.8 to 2 ± 2.6 for both groups, respectively (P < 0.001). SST and grip strength also improved following treatment, regardless of modality. At 6 months, four patients (22%) with an SST score of 1, three (30%) with a score of 2, and two (40%) with a score of 3A underwent additional treatment.

Conclusions: Both FM and TP techniques are effective for the treatment of TF and should be considered for patients who present with SST scores of 1 or 2.

Background: Adverse drug events (ADEs) are a major cause of morbidity and mortality worldwide. Hence, identifying and monitoring ADEs is of utmost importance. The Trigger Tool introduced by the Institute of Healthcare Improvement in the United States has been used in various countries worldwide, but has yet to be validated in Israel.

Objective: To validate the international Trigger Tool in Israel and to compare the results with those generated in various countries.

Methods: A retrospective descriptive correlative analysis surveying four general hospitals in Israel from different geographical regions was conducted. Patient medical charts (n=960) were screened for 17 established triggers and confirmed for the presence of an ADE. Trigger incidence was compared to the actual ADE rate. Further comparison among countries was conducted using published literature describing Trigger Tool validation in various countries.

Results: A total of 421 triggers in 279 hospitalizations were identified, of which 75 ADEs in 72 hospitalizations (7.5%) were confirmed. In addition, two ADEs were identified by chart review only. Mean positive predictive value was 17.81% and overall sensitivity was 97%. We found 1.54 ADEs for every 100 hospitalization days, 7.8 ADEs per 100 admissions, and 1.81 ADEs for every 1000 doses of medication. Of the 77 ADEs identified, 22.7% were defined as preventable.

Conclusions: Our results support the Trigger Tool validity in Israel as a standardized method. Further studies should evaluate between hospital and region differences in ADE rate, in particular for the preventable events.

Background: The TANTALUS^™ System (MetaCure Ltd.) is a minimally invasive implantable device for the treatment of type 2 diabetes. The system detects food intake by sensing gastric electrical variations and applies electrical stimulation to the gut synchronized to natural gastric activity. The system is commercially available in Europe and Israel and is in clinical trials in the United States. It has been tested in 132 patients worldwide to date.

Objectives: To re-analyze previously reported data from different studies. This retrospective analysis of the type 2 diabetes subpopulation analyzed the expected benefit and characterize the significance of baseline A1c in the determination of the expected clinical outcome.

Methods: From the total cohort of 132 patients implanted with the TANTALUS device in 10 different centers in Europe and the U.S., 50 subjects (27 females, 23 males) who were obese with uncontrolled T2DM[1] on a stable regime of oral medication for 3 months prior to implant were identified. This population had similar inclusion/exclusion criteria as well as treatment protocols and were all treated for at least 24 weeks. The analysis was based on the A1c change compared to baseline.

Results: Data after 24 weeks demonstrate a reduction in A1c in 80% of the patients with average drop in A1c of 1.1 ± 0.1%. The average weight loss was 5.5 ± 0.7 kg.

Conclusions: The results suggest that the TANTALUS stimulation regime can improve glucose levels and induce moderate weight loss in obese T2DM patients.

Background: Previous studies found some factors such as physical exertion, anger and heavy meals to be triggers for acute coronary syndrome.

Objectives: To estimate the relative risk of an ACS[1] episode associated with positive and negative emotional experiences and anger as potential work-related triggers.

Methods: A total of 209 consecutive patients were interviewed a median of 2 days after a cardiac event that occurred at work or up to 2 hours later. The case-crossover design was used. Positive and negative emotional experiences and anger episodes in the hours immediately before the onset of ACS were compared with episodes in the comparable hours during the previous workday. For anger the episodes were compared with the usual frequency at work during the previous year. Positive and negative emotional experiences were assessed by the PANAS questionnaire (Positive and Negative Affect Scale), and anger by the Onset Anger Scale.

Results: The relative risks of an acute coronary event during the first hour after exposure to negative and positive emotional experiences were RR[2] = 14.0 (95% confidence interval 1.8–106.5) and RR = 3.50 (95% CI[3], 0.7–16.8) respectively and RR = 9.0 (95% CI, 1.1–71) for an episode of anger. Using conditional logistic regression analysis, the highest relative risk was associated with negative emotional experiences.

Conclusions: Negative emotional experiences and anger at work can trigger the onset of an ACS episode. This could have implications for recognizing a cardiac event as a work accident. The implementation of stress-reduction programs in the workplace or use of preventive medications in workers at high risk for coronary heart disease should be investigated.

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.