Radical hysterectomy without adjuvant radiotherapy in patients with cervix carcinoma FIGO 2009 IB1, with or without positive Sedlis criteria.

INTRODUCTION: Lymphovascular space invasion (LVSI), deep (>1/3) stromal invasion (DSI) and large tumor size (>4 cm) have been identified as predictors for intermediate risk for recurrence according to Sedlis (at least two of the prior risk factors) in FIGO stage I cervical cancer. Adjuvant radiotherapy (RT) has been advocated in these patients(1,2), but remains controversial. METHOD: All consecutive patients (1997-2017) with cervical cancer FIGO (2009) stage IB1 (≤4 cm) were included. Primary aim was to analyze the recurrence rate. Secondary aim was to identify the risk factors for disease recurrence and survival. RESULTS: One-hundred-and-eighty-two patients were included in this retrospective study. Median follow-up was 13 years (range 8-17). Postoperatively, 21 patients received adjuvant therapy due to presence of positive lymph nodes, positive section margins or if a simple hysterectomy was performed (RT: n = 7, concomitant chemo radiotherapy (CCRT): n = 14). None of the patients with a combination of intermediate risk factors according to Sedlis (excluding patients >4 cm) underwent adjuvant RT/CCRT. Disease recurrence was observed in 19 patients (10%). Eleven patients died of disease. LVSI influenced progression-free survival (PFS) (HR 3.950, p = 0.0163) and disease-specific survival (DSS) (HR 4.637, p = 0.0497) significantly. However, the combination of LVSI, tumor size and DSI according to Sedlis did not influence overall survival (OS), DSS or PFS. CONCLUSION: Recurrence rate was low (10%), despite the fact that patients with intermediate risk factors according to Sedlis did not receive postoperative RT/CCRT. LVSI was the sole risk factor influencing PFS and DSS. Combinations of risk factors according to Sedlis did not predict worse outcome.

The Prognostic Value of Simplified EEG in Out-of-Hospital Cardiac Arrest Patients.

BACKGROUND: We previously validated simplified electroencephalogram (EEG) tracings obtained by a bispectral index (BIS) device against standard EEG. This retrospective study now investigated whether BIS EEG tracings can predict neurological outcome after cardiac arrest (CA). METHODS: Bilateral BIS monitoring (BIS VISTA™, Aspect Medical Systems, Inc. Norwood, USA) was started following intensive care unit admission. Six, 12, 18, 24, 36 and 48 h after targeted temperature management (TTM) at 33 °C was started, BIS EEG tracings were extracted and reviewed by two neurophysiologists for the presence of slow diffuse rhythm, burst suppression, cerebral inactivity and epileptic activity (defined as continuous, monomorphic, > 2 Hz generalized sharp activity or continuous, monomorphic, < 2 Hz generalized blunt activity). At 180 days post-CA, neurological outcome was determined using cerebral performance category (CPC) classification (CPC1-2: good and CPC3-5: poor neurological outcome). RESULTS: Sixty-three out-of-hospital cardiac arrest patients were enrolled for data analysis of whom 32 had a good and 31 a poor neurological outcome. Epileptic activity within 6-12 h predicted CPC3-5 with a positive predictive value (PPV) of 100%. Epileptic activity within time frames 18-24 and 36-48 h showed a PPV for CPC3-5 of 90 and 93%, respectively. Cerebral inactivity within 6-12 h predicted CPC3-5 with a PPV of 57%. In contrast, cerebral inactivity between 36 and 48 h predicted CPC3-5 with a PPV of 100%. The pattern with the worst predictive power at any time point was burst suppression with PPV of 44, 57 and 40% at 6-12 h, at 18-24 h and at 36-48 h, respectively. Slow diffuse rhythms at 6-12 h, at 18-24 h and at 36-48 h predicted CPC1-2 with PPV of 74, 76 and 80%, respectively. CONCLUSION: Based on simplified BIS EEG, the presence of epileptic activity at any time and cerebral inactivity after the end of TTM may assist poor outcome prognostication in successfully resuscitated CA patients. A slow diffuse rhythm at any time after CA was indicative for a good neurological outcome.

The validation of simplified EEG derived from the bispectral index monitor in post-cardiac arrest patients.

AIMS: We aimed to validate retrospectively the accuracy of simplified electroencephalography (EEG) monitoring derived from the bispectral index (BIS) monitor in post-cardiac arrest (CA) patients. METHODS: Successfully resuscitated CA patients were transferred to the Catherization Lab followed by percutaneous coronary intervention when indicated. On arrival at the coronary care unit, bilateral BIS monitoring was started and continued up to 72 h. Raw simplified EEG tracings were extracted from the BIS monitor at a time point coinciding with the registration of standard EEG monitoring. BIS EEG tracings were reviewed by two neurophysiologists, who were asked to indicate the presence of following patterns: diffuse slowing rhythm, burst suppression pattern, cerebral inactivity, periodic epileptiform discharges and status epilepticus (SE). Additionally, these simplified BIS EEG tracings were analysed by two inexperienced investigators, who were asked to indicate the presence of SE only. RESULTS: Thirty-two simplified BIS EEG samples were analysed. Compared to standard EEG, neurophysiologists interpreted all simplified EEG samples with a sensitivity of 86%, a specificity of 100% and an interobserver variability of 0.843. Furthermore, SE was identified with a sensitivity of 80% and a specificity of 94% by two unexperienced physicians. CONCLUSION: Using a simple classification system, raw simplified EEG derived from a BIS monitoring device is comparable to standard EEG monitoring. Moreover, investigators without EEG experience were capable to identify SE in post-CA patients. Future studies will be warranted to confirm our results and to determine the added value of using simplified BIS EEG in terms of prognostic and therapeutic implications.