Enhanced recovery after cesarean from the patient perspective: a prospective study of the ERAC Questionnaire (ERAC-Q).

OBJECTIVES: To evaluate the impact of an Enhanced Recovery After Cesarean (ERAC) protocol on the post-cesarean recovery experience using a validated ten-item questionnaire (ERAC-Q). METHODS: This is a prospective cohort study of patients completing ERAC quality-of-life questionnaires (ERAC-Q) during inpatient recovery after cesarean delivery (CD) between October 2019 and September 2020, before and after the implementation of our ERAC protocol. Patients with non-Pfannenstiel incision, ICU admission, massive transfusion, bowel injury, existing chronic pain disorders, acute postpartum depression, or neonatal demise were excluded. The ERAC-Q was administered on postoperative day one and day of discharge to the pre- and post-ERAC implementation cohorts, rating aspects of their recovery experience on a scale of 0 (best) to 10 (worst). The primary outcome was ERAC-Q scores. Statistical analysis was performed with SAS software. RESULTS: There were 196 and 112 patients in the pre- and post-ERAC cohorts, respectively. The post-ERAC group reported significantly lower total ERAC-Q scores compared to the pre-ERAC group, reflecting fewer adverse symptoms and greater perceived recovery on postoperative day one (1.6 [0.7, 2.8] vs. 2.7 [1.6, 4.3]) and day of discharge (0.8 [0.3, 1.5] vs. 1.4 [0.7, 2.2]) (p<0.001). ERAC-Q responses did not predict the time to achieve objective postoperative milestones. However, worse ERAC-Q pain and total scores were associated with higher inpatient opiate use. CONCLUSIONS: ERAC implementation positively impacts patient recovery experience. The administration of ERAC-Q can provide real-time feedback on patient-perceived recovery quality and how healthcare protocol changes may impact their experience.

A Prospective Longitudinal Quality Initiative toward Improved Enhanced Recovery after Cesarean Pathways.

OBJECTIVE: This study aimed to evaluate whether enhanced recovery after cesarean (ERAC) pathways reduces inpatient and outpatient opioid use, pain scores and improves the indicators of postoperative recovery. STUDY DESIGN: This is a prospective, longitudinal, quality improvement study of all patients older than 18 undergoing an uncomplicated cesarean delivery (CD) at an academic medical center. We excluded complicated CD, patients with chronic pain disorders, chronic opioid use, acute postpartum depression, or mothers whose neonate demised before their discharge. Lastly, we excluded non-English- and non-Spanish-speaking patients. Our study compared patient outcomes before (pre-ERAC) and after (post-ERAC) implementation of ERAC pathways. Primary outcomes were inpatient morphine milligram equivalent (MME) use and the patient's delta pain scores. Secondary outcomes were outpatient MME prescriptions and indicators of postoperative recovery (time to feeding, ambulation, and hospital discharge). RESULTS: Of 308 patients undergoing CD from October 2019 to September 2020, 196 were enrolled in the pre-ERAC cohort and 112 in the post-ERAC cohort. Patients in the pre-ERAC cohort were more likely to require opioids in the postoperative period compared with the post-ERAC cohort (81.6 vs. 64.3%, p < 0.001). Likewise, there was a higher use of MME per stay in the pre-ERAC cohort (30 [20-49] vs. 16.8 MME [11.2-33.9], p < 0.001). There was also a higher number of patients who required prescribed opioids at the time of discharge (98 vs. 86.6%, p < 0.001) as well as in the amount of MMEs prescribed (150 [150-225] vs. 150 MME [112-150], p < 0.001; different shape of distribution). Furthermore, the patients in the pre-ERAC cohort had higher delta pain scores (3.3 [2.3-4.7] vs. 2.2 [1.3-3.7], p < 0.001). CONCLUSION: Our study has illustrated that our ERAC pathways were associated with reduced inpatient opioid use, outpatient opioid use, patient-reported pain scores, and improved indicators of postoperative recovery. KEY POINTS: · Implementation of ERAC pathways is associated with a higher percentage of no postpartum opioid use.. · Implementation of ERAC pathways is associated with lower delta (reported - expected) pain scores.. · The results of ERAC pathways implementation are increased by adopting a patient-centered approach..

Increased risk of severe COVID-19 in pregnancy in a multicenter propensity score-matched study.

OBJECTIVES: To explore the association between COVID-19 severity and pregnancy using measures such as COVID-19 ordinal scale severity score, hospitalization, intensive care unit (ICU) admission, oxygen supplementation, invasive mechanical ventilation, and death. METHODS: We conducted a retrospective, multicenter cohort study to understand the association between COVID-19 severity and pregnancy. We reviewed consecutive charts of adult females, ages 18-45, with laboratory testing for SARS-CoV-2 infection between March 1, 2020, and August 31, 2020. Cases were patients diagnosed with COVID-19 during pregnancy, whereas controls were not pregnant at the time of COVID-19 diagnosis. Primary endpoints were the COVID-19 severity score at presentation (within four hours) and the nadir of the clinical course. The secondary endpoints were the proportion of patients requiring hospitalization, ICU admission, oxygen supplementation, invasive mechanical ventilation, and death. RESULTS: A higher proportion of pregnant women had moderate to severe COVID-19 disease at the nadir of the clinical course than non-pregnant women (25 vs. 16.1 %, p=0.04, respectively). There was a higher rate of hospitalization (25.6 vs. 17.2 %), ICU admission (8.9 vs. 4.4 %), need for vasoactive substances (5.0 vs. 2.8 %), and invasive mechanical ventilation (5.6 vs. 2.8 %) in the pregnant cohort. These differences were not significant after applying propensity score matching.We found a high rate of pregnancy complications in our population (40.7 %). The most worrisome is the rate of hypertensive disorders of pregnancy (20.1 %). CONCLUSIONS: In our propensity score-matched study, COVID-19 in pregnancy is associated with an increased risk of disease severity and pregnancy complications.

Temporal Trend of COVID-19 Clinical Severity and the Ethnic/Racial Disparity: A Report from the Maryland Study Group.

OBJECTIVES: This study aimed to evaluate the temporal trend of novel coronavirus disease 2019 (COVID-19) symptoms and severity of clinical outcomes among pregnant women over a calendar year in the State of Maryland and compare clinical outcomes between different ethnic and racial groups. STUDY DESIGN: We conducted a retrospective, multicenter observational study of the temporal trend of COVID-19 clinical presentation during pregnancy in the State of Maryland. We reviewed consecutive charts of adult pregnant females, aged 18 to 55 years, with laboratory-confirmed severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection between March 1, 2020, and February 28, 2021, and managed within the University of Maryland Medical System and Johns Hopkins Medicine. We excluded cases with insufficient data for assessing the COVID-19 diagnosis, pregnancy status, or clinical outcomes. We evaluated the evolution of COVID-19 symptoms at the time of presentation. Also, we compared COVID-19 infection rate, hospitalization rate, oxygen use, and intensive care unit (ICU) admission rates between different ethnic and racial groups. RESULTS: We included 595 pregnant women with laboratory-confirmed COVID-19 over the study period. The prevalence of respiratory and systemic symptoms decreased over time with incidence rate ratios (IRRs) of 0.91 per month (95% confidence interval [CI]: 0.88-0.95) and 0.87 per month (95% CI: 0.83-0.95), respectively. The prevalence of hospitalization, O2 requirement, and ICU admission decreased over time with IRRs of 0.86 per month (95% CI: 0.82-0.91), 0.91 per month (95% CI: 0.84-0.98), and 0.70 per month (95% CI: 0.57-0.85), respectively. The Hispanic and Black populations had a higher COVID-19 infection rate and hospitalization rate than the non-Hispanic White population (p = 0.004, < 0.001, and < 0.001, respectively). CONCLUSION: Understanding the concepts of viral evolution could potentially help the fight against pandemics like COVID-19. Moreover, this might improve the knowledge of how pandemics affect disadvantaged populations and help close the gap in health care inequities. KEY POINTS: · A trade-off between virulence and transmissibility is determined by the natural selection of viruses.. · Understanding the concepts of viral evolution can help the fight against pandemics like COVID-19.. · Evolution of SARS-CoV-2 over time resulted in decreased virulence and increased infectivity..

Peri-Ictal Changes in Depression and Anxiety in Persons With Epileptic and Non-epileptic Seizures.

Objective: We tested the hypothesis that epileptic, but not non-epileptic, seizures would produce an improvement in comorbid depression and anxiety symptoms in the peri-ictal period, much like the antidepressant effects of electroconvulsive therapy. Methods: We examined depression and anxiety symptoms in patients admitted to an inpatient unit for continuous video electroencephalography as part of routine clinical care. Patients completed three questionnaires that included the Beck Depression Inventory-II (BDI), Montgomery Asberg Depression Rating Scale (MADRS), and Beck Anxiety Inventory (BAI) after admission, in the 24 h following a seizure, then again 2 weeks after the last seizure. Results: In patients with epilepsy, depression and anxiety scores improved in the 24 hrs following a seizure (change in BDI = 24%; change in MADRS = 19%; change in BAI = 21%) but returned toward baseline after 2 weeks. In patients with non-epileptic seizures, depression and anxiety scores also improved in the 24 hrs following a psychogenic non-epileptic seizure (change in BDI = 17%, change in MADRS = 27%, change in BAI = 36%). There was a greater improvement in depression and anxiety scores in patients with focal-onset epilepsy (BDI = 30%, MADRS = 22%, BAI = 30%) compared to generalized seizure onset (BDI = 6%, MADRS = 12%, BAI = 8%). Conclusion: We conclude that single seizures can result in transient improvements in mood. Because seizures need not be generalized or epileptic to exert this effect, the underlying mechanisms are uncertain.

Characterization of Antibodies for Grain-Specific Gluten Detection.

Gluten ingestion causes immunoglobulin E (IgE)-mediated allergy or celiac disease in sensitive individuals, and a strict gluten-free diet greatly limits food choices. Immunoassays such as enzyme-linked immunosorbent assay (ELISA) are used to quantify gluten to ensure labeling compliance of gluten-free foods. Anti-gluten antibodies may not exhibit equal affinity to gluten from wheat, rye, and barley. Moreover, because wheat gluten is commonly used as a calibrator in ELISA, accurate gluten quantitation from rye and barley contaminated foods may be compromised. Immunoassays utilizing grain-specific antibodies and calibrators may help improve gluten quantitation. In this study, polyclonal antibodies raised against gluten-containing grain-specific peptides were characterized for their immunoreactivity to gluten from different grain sources. Strong immunoreactivity to multiple gluten polypeptides from wheat, rye, and barley was observed in the range 34 to 43 kDa with anti-gliadin, 11 to 15 and 72 to 95 kDa with anti-secalin, and 30 to 43 kDa with anti-hordein peptide antibodies, respectively. Minimal or no cross-reactivity with gluten from other grains was observed among these antibodies. The anti-consensus peptide antibody raised against a repetitive amino acid sequence of proline and glutamine exhibited immunoreactivity to gluten from wheat, rye, barley, and oat. The antibodies exhibited similar immunoreactivity with most of the corresponding grain cultivars by ELISA. The high specificity and minimal cross-reactivity of grain-specific antibodies suggest their potential use in immunoassays for accurate gluten quantitation.

Effects of grain species and cultivar, thermal processing, and enzymatic hydrolysis on gluten quantitation.

Gluten from wheat, rye, and barley can trigger IgE-mediated allergy or Celiac disease in sensitive individuals. Gluten-free labeled foods are available as a safe alternative. Immunoassays such as the enzyme-linked immunosorbent assay (ELISA) are commonly used to quantify gluten in foods. However, various non-assay related factors can affect gluten quantitation. The effect of gluten-containing grain cultivars, thermal processing, and enzymatic hydrolysis on gluten quantitation by various ELISA kits was evaluated. The ELISA kits exhibited variations in gluten quantitation depending on the gluten-containing grain and their cultivars. Acceptable gluten recoveries were obtained in 200mg/kg wheat, rye, and barley-spiked corn flour thermally processed at various conditions. However, depending on the enzyme, gluten grain source, and ELISA kit used, measured gluten content was significantly reduced in corn flour spiked with 200mg/kg hydrolyzed wheat, rye, and barley flour. Thus, the gluten grain source and processing conditions should be considered for accurate gluten analysis.