Neurologic manifestations of acute and chronic renal disease

Movement Disorders and Renal Diseases

Movement disorders often emerge from the interplay of complex pathophysiological processes involving the kidneys and the nervous system. Tremor, myoclonus, ataxia, chorea, and parkinsonism can occur in the context of renal dysfunction (azotemia and electrolyte abnormalities) or they can be part of complications of its management (dialysis and renal transplantation). On the other hand, myoglobinuria from rhabdomyolysis in status dystonicus and certain drugs used in the management of movement disorders can cause nephrotoxicity. Distinct from these well-recognized associations, it is important to appreciate that there are several inherited and acquired disorders in which movement abnormalities do not occur as a consequence of renal dysfunction or vice versa but are manifestations of common pathophysiological processes affecting the nervous system and the kidneys. These disorders are the emphasis of this review. Increasing awareness of these conditions among neurologists may help them to identify renal involvement earlier, take timely intervention by anticipating complications and focus on therapies targeting common mechanisms in addition to symptomatic management of movement disorders. Recognition of renal impairment in a patient with complex neurological presentation may narrow down the differentials and aid in reaching a definite diagnosis.

Pain in Maintenance Hemodialysis Patients: A Multicenter Study

CONTEXT

Pain is a common complaint in maintenance hemodialysis (MHD) patients yet is often inadequately assessed and undertreated.

OBJECTIVES

The objective of this study was to evaluate the prevalence, characteristics, intensity, and impact of pain in MHD patients.

METHODS

In a cross-sectional study conducted between 2013 and 2015, 336 MHD patients from five hemodialysis units in hospitals owned by Clalit were interviewed and evaluated. Study tools included the Brief Pain Inventory, The Leeds Assessment of Neuropathic Symptoms and Signs Pain Scale, and demographic and clinical characteristics. In addition, computerized pharmaceutical data were reviewed.

RESULTS

Pain was experienced by 82% of the study population (mean pain level: 7.2 ± 2.2) in the 24-hour period before the interview, while 61.5% experienced neuropathic pain characteristics. Of patients with pain, two-thirds reported being regularly treated with pain medications, while 24.5% received nondrug pain treatment. Mean pain relief due to Brief Pain Inventory was 62.5 ± 30%. In multivariate analysis, female gender, a high comorbidity index, and time on dialysis >24 months were associated with the presence of significant pain in the previous 24 hours. In addition, severe pain report was associated with female gender, depression, ≥4 painful sites, and unemployment. Finally, neuropathic pain was associated with time on dialysis >24 months, depression, ≥4 painful sites, and current intensity of pain >2.

CONCLUSION

Pain is common in MHD patients and is significantly associated with female gender, comorbidity, time on dialysis, and depression. Results of this study may serve as a starting point for palliative interventions for MHD patients.

Abnormal movements in critical care patients with brain injury: a diagnostic approach

Abnormal movements are frequently encountered in patients with brain injury hospitalized in intensive care units (ICUs), yet characterization of these movements and their underlying pathophysiology is difficult due to the comatose or uncooperative state of the patient. In addition, the available diagnostic approaches are largely derived from outpatients with neurodegenerative or developmental disorders frequently encountered in the outpatient setting, thereby limiting the applicability to inpatients with acute brain injuries. Thus, we reviewed the available literature regarding abnormal movements encountered in acutely ill patients with brain injuries. We classified the brain injury into the following categories: anoxic, vascular, infectious, inflammatory, traumatic, toxic-metabolic, tumor-related and seizures. Then, we identified the abnormal movements seen in each category as well as their epidemiologic, semiologic and clinicopathologic correlates. We propose a practical paradigm that can be applied at the bedside for diagnosing abnormal movements in the ICU. This model seeks to classify observed abnormal movements in light of various patient-specific factors. It begins with classifying the patient’s level of consciousness. Then, it integrates the frequency and type of each movement with the availability of ancillary diagnostic tests and the specific etiology of brain injury.