Summary We randomly allocated 50 women scheduled for radical mastectomy to pectoral nerves‐2 (PECS‐2) block (n = 25) or no block (n = 25), 20 and 22 of whom we analysed for the primary outcome of a cumulative 24‐h postoperative morphine dose. We gave intra‐operative sufentanil, magnesium, dexamethasone and droperidol. Participants received regular postoperative paracetamol, ibuprofen and patient‐controlled intravenous morphine. Pectoral nerves‐2 block reduced mean (SD) cumulative 24 h postoperative morphine dose from 9.7 (8.9) mg to 5.0 (5.4) mg and 48 h morphine dose from 12.8 (12.5) mg to 6.0 (6.5) mg, p = 0.04 for both. The mean (SD) pain scores 24 h and 48 h after surgery were similar with or without block: 0.8 (1.4) vs. 1.2 (1.9), p = 0.39; and 0.2 (0.4) vs. 0.9 (1.8), p = 0.09, respectively. Rates of postoperative nausea, vomiting and pruritus were unaffected. Rates of chronic pain at six postoperative months were 2/19 and 2/18 after block and no block, respectively, p = 0.95.

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Introduction Postpartum hemorrhage remains a leading cause of maternal morbidity and mortality worldwide. Therefore, cumulative incidence of postpartum hemorrhage and severe postpartum hemorrhage are commonly monitored within and compared across maternity hospitals or countries for obstetrical safety improvement. These indicators are usually based on hospital discharge data though their accuracy is seldom assessed. We aimed to measure postpartum hemorrhage and severe postpartum hemorrhage using electronic health records and hospital discharge data separately and compare the detection accuracy of these methods to manual chart review, and to examine the temporal trends in cumulative incidence of these potentially avoidable adverse outcomes. Materials and methods We analyzed routinely collected data of 7904 singleton deliveries from a large Swiss university hospital for a three year period (2014–2016). We identified postpartum hemorrhage and severe postpartum hemorrhage in electronic health records by text mining discharge letters and operative reports and calculating drop in hemoglobin from laboratory tests. Diagnostic and procedure codes were used to identify cases in hospital discharge data. A sample of 334 charts was reviewed manually to provide a reference-standard and evaluate the accuracy of the other detection methods. Results Sensitivities of detection algorithms based on electronic health records and hospital discharge data were 95.2% (95% CI: 92.6% 97.8%) and 38.2% (33.3% to 43.0%), respectively for postpartum hemorrhage, and 87.5% (85.2% to 89.8%) and 36.2% (26.3% to 46.1%) for severe postpartum hemorrhage. Postpartum hemorrhage cumulative incidence based on electronic health records decreased from 15.6% (13.1% to 18.2%) to 8.5% (6.7% to 10.5%) from the beginning of 2014 to the end of 2016, with an average of 12.5% (11.8% to 13.3%). The cumulative incidence of severe postpartum hemorrhage remained at approximately 4% (3.5% to 4.4%). Hospital discharge data-based algorithms provided significantly underestimated incidences. Conclusions Hospital discharge data is not accurate enough to assess the incidence of postpartum hemorrhage at hospital or national level. Instead, automated algorithms based on structured and textual data from electronic health records should be considered, as they provide accurate and timely estimates for monitoring and improvement in obstetrical safety. Furthermore, they have the potential to better code for postpartum hemorrhage thus improving hospital reimbursement.

SUMMARY Two cases of neonatal listeriosis are described. The incidence in the UK is given and the treatment of the pregnant woman is briefly discussed.Perinatal listeriosis is believed to be rare in Britain but it may be under reported. It carries a high mortality for the child but the mother suffers only a mild illness. Two