Israel Medical Association Journal

We are overwhelmed by warnings about inevitable geophysical and human problems. Earth is beset by escalating, man-made, environmental crises and our exploding population will eventually lack water, food and vital materials. This suggests, together with increasing poverty, deepening social unrest and advanced techniques for mass killing, that civilization will break down long before atmospheric CO₂ or resistant microbes become catastrophic. Despite intensive searching, life has not been found in space, even though thousands of planets have been found and life there may be as problematic and unpredictable as on Earth. The human brain is already a 'universe', with 85 billion neurons and a hundred trillion synapses, more than the stars in our galaxy. Understanding consciousness, the brain, its aging and pathologies, and eliminating the propensity for human aggression are urgent challenges. During 1958–2012, NASA spent $800 billion. In contrast, the annual cost of brain disease in the U.S. is $600 billion, more than cardiovascular disease and cancer combined. We suggest that a massive switching of financial and human resources is required to explore the full potential of the human brain. Visiting Mars can wait. We further propose a novel two-brain hypothesis: the animal 'brain' evolved as two fundamentally different though interdependent, complementary organs: one electroionic (tangible, known and accessible), and the other, electromagnetic (intangible and difficult to access) – a relatively independent, stable, structured and functional 3D compendium of variously induced interacting EM fields.

Background: Serum lactate dehydrogenase (LDH) is elevated in various diseases. 

Objectives: To analyze serum LDH as a distinguishing clinical biomarker and as a predictor of in-hospital outcome in admitted medical patients.

Methods: We analyzed a cohort of all 158 patients with very high isolated LDH (LDH ≥ 800 IU/ml – without concomitant elevations of alanine aminotransferase and aspartate aminotransferase) – admitted to our internal medicine department during a 3 year period. Epidemiologic and clinical data, as well as the final diagnosis and outcome were recorded and compared with those of a cohort of all 188 consecutive control patients.

Results: Very high isolated LDH was a distinguishing biomarker for the presence of cancer (27% vs. 4% in the LDH group and controls respectively, P < 0.0001), liver metastases (14% vs. 3%, P < 0.0001), hematologic malignancies (5% vs. 0%, P = 0.00019), and infection (57% vs. 28%, P < 0.0001). Very high isolated LDH was a marker for a severe prognosis, associated with more admission days (9.3 vs. 4.1, P < 0.0001), significantly more in-hospital major complications, and a high mortality rate (26.6% vs. 4.3%, P < 0.0001). Finally, very high isolated LDH was found in a multivariate regression analysis to be an independent predictor of mortality.

Conclusions: The presence of very high isolated LDH warrants thorough investigation for the presence of severe underlying disease, mostly metastatic cancer, hematologic malignancies and infection. Moreover, it is a marker for major in-hospital complications and is an independent predictor of mortality in admitted medical patients. 

Objectives: To evaluate health utilization patterns in two primary care clinics in southern Israel: one under continuous attacks of Qassam rockets as compared with a similar clinic not under a rocket threat.

Methods: We conducted a retrospective cross-sectional study in two primary care clinics in southern Israel, with 11,630 persons listed in the two clinics during the entire study period. The primary outcome measures were total annual number of visits per person to the clinic and for specific diagnoses, and the number of drug prescriptions issued, emergency room (ER) visits, hospitalization days, cardiac catheterizations and coronary bypass surgeries.

Results: In both clinics there was an increase over time in the mean annual number of visits per person. During the years of severe attacks there was an increase in visits with a chief complaint of depression and anxiety and an increase in the number of anxiolytic prescriptions in the study clinic compared with the control. During the same period there was a decrease in the number of ER visits in the study clinic compared with the control.

Conclusions: The population under continuous life-threatening events showed more depression and anxiety problems. Under severe bombardment, the residents prefer not to leave home, unless necessary.

Objectives: To evaluate the predictive value regarding patients' survival once the diagnosis of “general deterioration” replaces an ICD-9 diagnosis upon re-admission.

Methods: In a retrospective cohort case-control study, we screened the records of patients re-admitted at least three times during the past 2 years. For each patient's death during the third hospitalization, we matched (for age and gender) a patient who survived the third hospitalization. We evaluated 14 parameters potentially accountable for increased risk of mortality, e.g., length of stay at each admission, interval to re-admission, etc. We applied a multifactorial analysis using logistic regression to predict the risk of mortality during the third hospitalization as potentially affected by the aforementioned parameters.

Results: The study included 81 study patients and 81 controls. Of the 14 parameters potentially explaining an increased risk of mortality during the third hospitalization, several were found to be statistically significant. The most significant was the diagnostic switch from a specific ICD-9 diagnosis on first admission to the non-specific diagnosis of “general deterioration” at the second hospitalization. In such cases, the risk of death during the third hospitalization was increased by 5300% (odds ratio = 54, P = 0.008). The increased risk of mortality was not restricted to patients with malignancy as their background diagnosis.

Conclusions: At re-admission, a switch from disease-specific diagnosis to the obscure diagnosis “general deterioration” increases the subsequent risk of mortality.

Objectives: To report our first year experience with a CPU located in an internal medicine department as compared to the year before establishment of the CPU.

Methods: We retrospectively evaluated the medical records of consecutive patients who were admitted to our internal medicine department for the investigation of chest pain for 2 different years: a year before and a year after the establishment of the CPU in the department. We focused on the patients' characteristics and the impact of the CPU regarding the investigational modalities used and the length of in-hospital stay.

Results: In the year before establishment of the CPU, 258 patients were admitted to our department with chest pain, compared to 417 patients admitted to the CPU in the first year of its operation. All patients were followed for serial electrocardiographic and cardiac enzyme testing. All CPU patients (100%) underwent investigation compared to only 171 patients (66%) in the pre-CPU year. During the year pre-CPU, 164 non-invasive tests were performed (0.64 tests per patient) compared to 506 tests (1.2 tests/patient) in the CPU population. Coronary arteriography was performed in 35 patients (14%) during the pre-CPU year, mostly as the first test performed, compared to 61 patients (15%) during the CPU year, mostly as a second test, with only 5 procedures (1.1%) being the first test performed. The length of hospitalization was significantly shorter during the CPU year, 37.8 ± 29.4 hours compared to 66.8 ± 46 hours in the pre-CPU year.

Conclusions: Establishment of a CPU in an internal medicine department significantly decreased the need for invasive coronary arteriography as the first modality for investigating patients admitted with chest pain, significantly decreased the need for invasive procedures (especially where no intervention was performed), and significantly shortened the hospitalization period. CPU is an effective facility for rapid and effective investigation of patients admitted with chest pain. 

Background: Frequent readmissions significantly contribute to health care costs as well as work load in internal medicine wards.

Objective: To develop a simple scoring method that includes basic demographic and medical characteristics of  elderly patients in internal medicine wards, which would allow prediction of readmission within 3 months of discharge.

Methods: We conducted a retrospective observational study of 496 hospitalized patients using data collected from discharge letters in the computerized archives. Univariate and multivariate logistic regression analyses were performed and factors that were significantly associated with readmission were selected to construct a scoring tool. Validity was assessed in a cohort of 200 patients.

Results: During a 2 year follow-up 292 patients were readmitted at least once within 3 months of discharge. Age 80 or older, any degree of impaired cognition, nursing home residence, congestive heart failure, and creatinine level > 1.5 mg/dl were found to be strong predictors of readmission. The presence of each variable was scored as 1. A score of 3 or higher in the derivation and validation cohorts corresponded with a positive predictive value of 80% and 67%, respectively, when evaluating the risk of rehospitalization.

Conclusions: We propose a practical, readily available five-item scoring tool that allows prediction of most unplanned readmissions within 3 months. The strength of this scoring tool, as compared with previously published scores, is its simplicity and straightforwardness.