PE-survivors complaining of dyspnea suffer from impaired HRQoL and reduced exercise capacity. Although PE-severity factors were associated with reduced exercise capacity, none of the examined factors were found to be independent determinants of dyspnea.
Introduction People exposed to electrical injuries are often admitted to hospital for observation. Current evidence suggests that patients who have a normal ECG on admission after a low-voltage injury, with no loss of consciousness or initial cardiac arrest may be discharged home after a short observation time. Currently, there are no established standards for the duration of monitoring after electric shock, but 24 h of observation is the most commonly adopted approach. We carried out a retrospective study of patients admitted after electrical injuries to determine the in-hospital outcomes and 30-day mortality in these patients. Methods We performed a chart review of all patients with electrical injuries admitted to Østfold Hospital, Norway between the years 2001 and 2019, to determine in-hospital and 30-day mortality and the frequency of various cardiac and non-cardiac complications. Results Mean age of 465 included patients (88% males) was 31 years. Of all injuries, 329 (71%) were work-related, 17 (3.7%) involved loss of consciousness. Furthermore, 29/437 (6.6%) were high voltage (> 1000 V), and 243/401 (60.6%) were transthoracic injuries. 369 (79.4%) were discharged same day. None of the admitted patients died in hospital nor did any die within 30 days of admission, yielding a 30-day mortality of 0% (95% CI 0–0.8). At admission troponin was elevated in three (0.6%) patients, creatinine kinase (CK) in 30 (6.5%) and creatinine in six (1.3%). Electrocardiogram (ECG) abnormalities were described in 85 (18%) patients. No serious arrhythmias were detected. When comparing high- vs low-voltage or transthoracic vs other injuries, there were no significant differences between most of the outcomes, except for more ECG abnormalities in the transthoracic group, whereas more patients had elevated CK, and fewer discharged the same day in high-voltage injuries. Conclusion No in-hospital nor 30-day mortality or serious arrhythmias were encountered in those who were assessed, regardless of the type of injury. Troponin and creatinine were rarely elevated. It seems that conscious patients admitted with a normal ECG following a low-voltage injury may safely be discharged home after a quick clinical assessment including ECG.
Background The value of the proximal extension of the clot in risk stratification of pulmonary embolism (PE) has not been established. The mean bilateral proximal extension of the clot (MBPEC) is a computed tomography (CT) radiological score, where initial evaluation showed promising results considering its ability in predicting the severity of PE. Purpose To explore the possible associations between MBPEC and PE-severity parameters, short- and long-term outcomes of PE, and inter-observer agreement. Material and Methods Patients diagnosed with PE at Østfold Hospital, Norway during 2003–2011 were identified. MBPEC was calculated by calculating the mean of a score in the range of 1–4 assigned for the most proximal extension of the clot in each lung: sub-segmental; segmental; lobar; and main pulmonary arteries. Medical records were reviewed to capture clinical, biochemical, and management-associated data (thrombolysis, admission to ICU). Results The mean age of 245 included patients was 55 ± 16 years; 42% were women. Patients with higher MBPEC scores had a significantly higher pulse rate and lower oxygen saturation. MBPEC score <4 predicted a negative troponin value with a negative predictive value of 90% (95% confidence interval [CI] 81–95). Patients with MBPEC 4 were 5.3 times more likely to have elevated troponin (odds ratio [OR] 5.3, 95% CI 2.0–14.3). MBPEC score of 4 was independently associated with admission to ICU (OR 3.8, 95% CI 1.8–7.9). The inter-observer agreement was excellent; weighted kappa 0.82. Conclusion MBPEC is associated with PE-severity parameters and can predict short-term adverse outcomes.
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