Impact of enteral prophylactic antibiotics on the trends of inflammatory markers following laparoscopic colorectal cancer surgery: A retrospective and prospective Cohort Study.

BACKGROUND: The study aimed to assess the effect of oral prophylactic antibiotics (OAB) with mechanical bowel preparation (MBP) on the serial measurement of postoperative inflammatory markers and clinical outcomes of the patients undergoing laparoscopic colorectal cancer resection surgery. METHODS: A retrospective and prospective data collection was carried out from January 2019 to March 2020 for the patients undergoing laparoscopic colorectal cancer resection. Daily measurements of inflammatory markers were obtained up to 7 days following surgery. The measurements of inflammatory markers were compared between patients who received a 1 week course of OAB along with MBP to those who only received MBP. RESULTS: There were a total of 110 patients that were divided into 2 groups: patients who received OAB and MBP (n = 44, 40%) and those who had MBP only (n = 66, 60%). There was no significant difference between the patient characteristics and preoperative staging of the cancer between the 2 groups. The overall length of stay was significantly lower in the patients who received OAB (9.09 days [SD 7.94] vs. 6.63 days [SD 4.96], P 0.02). The patients with OAB and MAP had persistently and significantly low levels of white blood cell count, CRP, and neutrophil count throughout the postoperative period as compared to those who only had MBP. CONCLUSION: The study demonstrated reduction in serial measurement of inflammatory markers throughout postoperative stay for the patients receiving preoperative OAB. The use of OAB helps in physiological recovery of the patient by reducing the inflammatory process postoperatively.

Online application for self-referral of the patients with breast symptoms.

INTRODUCTION: The study aimed to devise a self-referral mobile/web application for patients with new breast symptoms, giving them an outcome, thus bypassing the need for primary care consultation. METHODS: The online application was designed on the automated algorithm based on evidence-based guidelines for referral to breast onco-plastic units. A retrospective questionnaire-based anonymous survey was carried out at the breast unit in Southend University Hospital (January 2019 to March 2020). The outcome of the patients was recorded, the same data was entered in the software and its outcome was compared with their clinic outcome to assess and validate the software. Chi-square and t-test were used in formulating results. RESULTS: Data was collected for 366 patients who were referred urgently to the clinic. Only 50.5% (n = 186) were appropriately referred, with the main complaint being breast lump (94.1%). 39.6% of referred patients did not require a secondary care referral. Sensitivity and specificity for identifying patients requiring urgent referral was 100% and 98%, respectively. CONCLUSION: A significant number of urgent referrals to breast units do not require urgent specialist referral, and this results in a big strain on the hospital service. The discussed self-referral pathway is a promising alternative with the potential to reduce workload in primary and secondary care and improve patient satisfaction.

Algorithm-Based Online Software for Patients' Self-Referral to Breast Clinic as an Alternative to General Practitioner Referral Pathway.

Introduction The study aimed to assess the accuracy of online software in the use of self-referral to breast surgery clinics for patients with new signs and symptoms. The study also evaluated the appropriateness of GP referrals to breast clinics and evaluated patients' perceptions of an online self-referral portal to the breast clinic for the assessment of breast signs and symptoms.  Design and methods The pilot study was divided into two phases. In the first phase, prospective questionnaire-based data was collected from patients who were referred by a GP and presented to the regional breast unit with new signs and symptoms for breast conditions, Princess Alexandra Hospital NHS Trust (May - October 2018). The questionnaire assessed the time at each stage required by the patient to have a visit at the breast unit. It also asked the patient's opinion about an online self-referral portal to the surgical clinic. They were given hypothetical scenarios to evaluate their understanding of breast conditions. In the second phase, the patients presenting to symptomatic breast clinics were provided with the iPad to fill in their medical information in the online software. The data was collected between July and October 2019. The software algorithm was based on the National Institute of Clinical Health and Excellence (NICE) guidelines for breast conditions (2015). Breast surgeons' recommendations acted as a standard to evaluate the accuracy of GPs' referrals and software outcome for each patient.  Results There were 80 patients (mean age 49.1 [SD: 17.7], all females) included in the first phase of the study. The most common clinical presentation was a breast lump (47.6%), followed by breast pain (26.9%) and nipple changes (7.9%). Breast surgeons considered appropriate 75.6% of the referrals made by the GP. Seventy-two percent of the patients got an urgent appointment to see their GP, and 94.8% of the patients were urgently referred by their GP to see the breast surgeon. Only 37.8% of the urgent referrals were correctly referred as urgent. Having a direct online referral system for breast conditions will be beneficial for patients was agreed by 78.4%. The majority (98.1%) of the participants answered correctly for the hypothetical questions requiring breast surgeon review. In the second phase, there were a total of 86 patients with a mean age of 43.9 (SD: 13.3). The most common presentation was breast lump (n=68, 79.1%) and other presentations included breast pain, nipple changes, and discharge. The GPs' accuracy of correct referral was 69.1%. One third (30.9%) of the referrals could have been managed in the community or as a routine review by the breast surgeon. In comparison, the online software's accuracy was 85.1% accurate (p=0.001). The accuracy for detecting patients who needed urgent breast clinic review was 100% for online software.  Conclusion A large proportion of referrals could have been dealt with in the community or referred routinely. Patients would prefer a direct online referral system to the breast clinic. They understand red flag signs and symptoms. Online software has the potential to streamline patients for symptomatic breast clinics. It can reduce the burden on the GPs who are constantly under pressure to diagnose patients accurately and refer to the correct specialty appropriately within a short time.