RESUMO
Background COVID-19-related critical illness affects multiple organs and causes a variety of metabolic derangements in the body's physiology that are not proven with the current level of evidence. Insulin resistance and deranged blood sugar control due to COVID-19 have been major problems when managing diabetic patients with hyperglycaemia when they are admitted with COVID-19 pneumonia. There is a lack of abundant literature to prove the excess insulin requirements of COVID-19 and to quantify their insulin needs scientifically. This study aims to quantify the degree of insulin dose increments in these patients. Materials and methods The study is a single-centre prospective observational study done in COVID-19 wards at a tertiary care hospital in India. The diabetic patients admitted with COVID-19 pneumonia between June 2020 and December 2020 were included in the study. Seventy-five patients with fair control of diabetes (HbA1C <7.5) were included in the study. Their average daily insulin requirement was calculated for the first seven days of admission. This was tabulated and compared to their baseline insulin requirement before being unwell due to COVID-19. A sub-group analysis was also done to show the relation between severity of illness and glycaemic dysregulation. Result Invariably, all patients were found to be hyperglycaemic on admission. Insulin need has increased to 1.5 to 2.5 times the baseline values in the first 24 hours of admission. This insulin dose requirement stayed high around the same levels for all seven days of observation. The average mean value of the daily insulin dose for the seven days of study was calculated to be 132 units. This is more than twice the mean baseline daily insulin requirement of 62 units during the pre-COVID-19 period. Subgroup analysis showed that the severe group had poor glycaemic control, requiring higher doses compared to their own baseline and also to the moderate group. Conclusion COVID-19 pneumonia significantly increases insulin resistance and insulin requirements during illness in fairly controlled known diabetic patients with insulin. Managing this COVID-19-induced hyperglycaemia requires 1.5 to 2.5 times the baseline insulin doses.
RESUMO
Background Postoperative pain control irrespective of the magnitude of surgery has always remained a challenge for clinicians and healthcare workers. Good postoperative pain control is pivotal for unremarkable recovery and shorter hospital stays. Unfortunately, there is no uniform approach across the globe to address postoperative pain control. This provoked our thought to conduct a prospective observational study in our center to assess the already existing efficacy of pain management. Materials and methods This is a prospective observational study conducted in a tertiary care center in Coimbatore, India. The aim of this study is to assess the efficacy of an ongoing pain management system to compare it with standards in the literature to introduce changes and re-examine the results. A total of 100 patients who underwent major surgical procedures from various specialities were included after satisfying the inclusion criteria. The study was conducted over a period of four months to collect data from patients in the postoperative ward. Data were collected, pain-related variables were tabulated, and deficits were identified. Standardized pain assessment tools were not used. The results suggested the need for a policy change for quality improvement. This article gives reports on initial study results and plans to address the deficits in the current pain management system. A systematic and schematic approach for the implementation of the policy change and the framework for the new acute pain service team aiming at quality improvement have been discussed in detail. Results The results show that 28 patients were prescribed only routine paracetamol and rescue nonsteroidal anti-inflammatory drugs (NSAIDs). At rest, 56 patients had some pain, and 29 complained of moderate to severe pain. On movement, only seven patients had no pain, 48 had mild pain, and 45 had moderate to severe pain. Only 12 patients out of 100 had good sleep, 27 had moderate, and 43 had little sleep. Twelve patients had no sleep due to continuous ongoing pain in spite of ongoing pain control modalities. Sixteen patients complained of undue delay in receiving their analgesics. Twenty-two patients were dissatisfied, and 44 suggested the need for improvement of current pain control strategies. These data clearly suggest that the pain control strategies are inadequate and need improvement undoubtedly for quality improvement. The Wendy Hirsch model is chosen to create a framework for implementing a new change, and a detailed report is done to present to the hospital quality control department. These changes will be done after the approval, and a post-implementation outcome will be studied. Conclusion Good postoperative pain control is of paramount significance for both patients and healthcare professionals. With the current availability of various pain relief modalities, one should consider establishing a pain control pathway, if possible an acute pain team with a systematic approach. These measures not only improve patient satisfaction but also improve postoperative outcomes and better ways of utilizing healthcare resources.