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Introduction: Macrophage activation syndrome (MAS) is a severe hyper inflammatory condition caused by the over-activation and proliferation of T cells, NK cells and macrophages. It is often associated with complications of rheumatic/immune diseases. We present a case of a 15-year-old female who experiences recurrent episodes of MAS without any known definitive underlying etiology. Case Presentation: A 15-year-old previously healthy female developed fatigue, fevers, myalgia, chest pain, splenomegaly and lymphadenopathy 10 days after receiving her first Pfizer COVID-19 vaccine. Her symptoms recurred 10 days after receiving the second dose. Her myocarditis, MIS-C, and infectious work up was negative except for positive EBV IgG. Laboratory studies revealed anemia, hypertriglyceridemia, hypofibrinogenemia, and hyperferritinemia. She initially responded to decadron;however, her symptoms recurred with steroid taper. Bone marrow biopsy revealed hemophagocytosis. Whole exome sequencing (WES) revealed a heterozygous variant of uncertain significance in UNC13D c.962C>A (p.Thr321Asn). She had multiple re-admissions with significantly elevated inflammatory markers, including extremely high IL2-R, IL-18 and CXCL9. Each episode was complicated by an acute viral infection. She responds to high dose steroids, anti-IL-1, and JAK inhibitors. Nonetheless, it has been difficult to wean decadron without triggering a flare. She continues to require increasing doses of baricitinib. Discussion(s): MAS may be seen as a complication of rheumatic diseases, as well as inborn errors of immunity. However, none of these conditions have been diagnosed in this patient despite extensive testing, including WES. The degree of her immune dysregulation has been very severe making her disease process unpredictable and extremely difficult to control. She has frequent flares precipitated by viral infections or attempts at adjusting her immunomodulators. Weaning her medications has been challenging as she continues to require increasing doses of baricitinib and corticosteroids. The UNC13D gene is associated with autosomal recessive familial hemophagocytic lymphohistiocytosis type 3 (FHL3). Our patient is heterozygous for an UNC13D variant of uncertain significance. Additional genetic inquiries with whole genome sequencing to help elucidate the underlying etiology of her severe condition is being conducted. We hypothesize she developed MAS due to a combination of genetic predisposition, prior EBV infection, and immune stress associated with the COVID-19 vaccine. [Formula presented] [Formula presented] [Formula presented]Copyright © 2023 Elsevier Inc.
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Introduction: Loop diuretics are the first-line treatment for volume overload in acute decompensation of congestive heart failure (AHF). Loop diuretic resistance is common due to pharmacologic tachyphylaxis. Therefore, thiazide and thiazide-like diuretics are often used as add-on therapy to combine two different pharmacologic mechanisms. This systemic review and meta-analysis aimed to synthesize the current evidence on the efficacy and safety of metolazone and other thiazide-like diuretics in AHF. Method(s): PRISMA guidelines were followed in conducting this systematic review. PubMed, Scopus, PubMed Central, and Embase databases were searched using relevant keywords for studies published before 5 Jan 2022. and title screening was performed, followed by full-text screening using the Covidence software. Data were extracted, and analysis was done using Cochrane Review Manager (RevMan v5.1). The results were reported in odds ratio and mean difference with 95% confidence intervals. Result(s): Out of 2999 studies identified by database search, eight studies met the inclusion criteria (2 RCTs and 6 cohort studies). Pooled analysis using a random-effects model showed no difference in mean difference among the metolazone group and control group for 24 hours total urine output (MD 69.32, 95% CI -638.29 to 776.94;n = 551;I2 = 84%), change in urine output in 24 hours (MD -284.09, 95% CI -583.99 to 15.81;n = 345;I2 = 0%), 48 hours total urine output (MD -465.62, 95% CI -1302.22 to 370.99;n = 242;I2 = 0%) and urine output at 72 hours (MD -13.24, 95% CI -90.88 to 64.40;n = 205;I2 = 0%). However, studies with furosemide only in the comparator arm, 24 hours of total urine outcome favored metolazone (MD 692.70, 95% CI 386.59 to 998.82;n = 334;I2 = 0%). There was no difference between the two groups in the rate of adverse events, loss of weight, mortality, or readmission rates. Conclusion(s): Metolazone therapy in diuretic resistant AHF may improves urine output and facilitates achieving a net negative balance. Thus, metolazone and thiazide-like diuretics can be used as add-on therapy in acute decompensation of heart failure, especially in diuretic resistance.Copyright © 2023 The Author(s)
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Objectives: This study aimed to estimate the direct medical costs of patients with post COVID-19 condition in a Colombian insurance company with more than 2.5 million affiliates. Method(s): We conducted a bottom-up cost-of-illness study of adults with persistent symptoms after at least three months of hospital discharge due to COVID-19. We surveyed patients that were hospitalized between March 2020 and August 2021. We asked about healthcare resource utilization (HCRU), which included laboratories and images, medications, consults, rehospitalizations, and others, associated with post COVID-19 condition. The answers were verified using the company's outpatient and inpatient service authorization records. Costs were estimated from the third payer perspective and expressed in American dollars using an exchange rate of 1USD$=3,743COP. Result(s): We included 202 participants, 51.5% were male, mean age of 55.6 years old, 49% had a comorbidity (41.9% hypertension), and 46 patients (22.8%) required an intensive care unit. A total of 159 (78.7%) patients reported at least one symptom after discharge. Of these, 132 (65.3%) persisted with at least one symptom during the telephone survey. Seventy-five (47.2%) of the 159 patients with persistent symptoms reported HCRU. Of these, 93.3% consulted a physician (mean consultations: 2.1 SD 1.1;mean consultations with specialists: 2.4 SD 2.0), and 9.3% were re-hospitalized. The average direct medical costs of post COVID-19 condition were US$824 (95%CI 195-1,454). Costs in outpatient were US$373 (95%CI 158-588), and in inpatient, US$3,285 (95%CI -167-6,738). Conclusion(s): It is crucial to follow up and identify patients discharged from the hospital who persist with symptoms after three months since we observed a greater HCRU, including prolonged recovery therapiesCopyright © 2023
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The novel coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).Mortality attributable to COVID-19 remains considerably high, with case fatality rates as high as 8-11%. Early medical intervention in patients who are seriously and critically ill with COVID-19 reduces fatal outcomes. Thus, there is an urgent need to identify biomarkers that could help clinicians determine which patients with SARS-CoV-2 infection are at a higher risk of developing the most adverse outcomes, which include intensive care unit (ICU) admission, invasive ventilation, and death. In COVID-19 patients experiencing the most severe form of the disease, tests of liver function are frequently abnormal and liver enzymes are found to be elevated. For this reason, we examine the most promising liver biomarkers for COVID-19 prognosis in an effort to help clinicians predict the risk of ARDS, ICU admission, and death at hospital admission. In patients meeting hospitalization criteria for COVID-19, serum albumin < 36 g/L is an independent risk factor for ICU admission, with an AUC of 0.989, whereas lactate dehydrogenase (LDH) values > 365 U/L accurately predict death with an AUC of 0.943.The clinical scores COVID-GRAM and SOFA that include measures of liver function such as albumin, LDH, and total bilirubin are also good predictors of pneumonia development, ICU admission, and death, with AUC values ranging from 0.88 to 0.978.Thus, serum albumin and LDH, together with clinical risk scores such as COVID-GRAM and SOFA, are the most accurate biomarkers in the prognosis of COVID-19.Copyright © 2021 Sociedad Medica del Hospital General de Mexico. Published by Permanyer.
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Objectives: To provide an overview of trends in the current evidence landscape of products and services in development that support remote patient monitoring (RPM) and remote therapeutic monitoring (RTM), given the release of new billing codes for RPM and RTM by Centers for Medicare and Medicaid Services (CMS) in 2019. Method(s): A focused literature review was conducted in PubMed. Articles published between January 1, 2013 and January 1, 2023 were eligible for inclusion if reported technologies were classified as RPM (defined as the collection and interpretation of physiologic data digitally stored and/or transmitted by patients and/or caregivers to qualified health care professionals) or RTM (defined as the use of medical devices to monitor a patient's health or response to treatment using non-physiological data), following CMS definitions. RPM and RTM technologies included hardware, software, telehealth, and blockchain applications. Articles were then categorized using a semi-automated software platform (AutoLit, Nested Knowledge, St. Paul, MN) based on disease area, study design, intervention, and outcomes studied. Result(s): Of the 673 records screened, 245 articles were included. Observational studies (19.6%) were the most common study design, followed by systematic or focused literature reviews (11.0%) and narrative reviews (10.6%). The most common disease areas included cardiology (25.7%), coronavirus disease of 2019 (COVID-19;13.9%), and diabetes (9.4%). The most frequent clinical, non-clinical, and patient-reported outcomes were symptom monitoring (20.8%), all cause readmission and hospitalization rates (both 7.3%), and patient experience (7.8%), respectively. Conclusion(s): CMS policy and coding practices for RPM and RTM are evolving, and this trend is likely to continue into the future. This review provides details on the current evidence trends associated with RPM/RTM technologies. Evidence development of RPM and RTM should be assessed as evidence needs for coverage and reimbursement may receive increased payer management.Copyright © 2023
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Introduction: The COVID-19 pandemic introduced a sudden need to decrease in-person visits. While many elective operations were postponed or canceled, GI cancers cases continued since treatment delay would risk disease progression. To mitigate contact risks, virtual postoperative visits replaced traditional encounters in the majority of patients. This study evaluates whether the shift to virtual postoperative visits increased hospital readmissions. Method(s): The Epic Clarity database was used to develop a retrospective cohort of patients undergoing inpatient oncologic operations. Readmission was compared Pre and Post-Covid with further analysis between Telehealth and In-Person subgroups in the Post- Covid cohort. A combination of univariate and multivariate logistic regressions was conducted on 30-day readmissions from the index admission. Result(s): The cohort consisted of 1,926 patients in the Pre- Covid timeframe and 1,064 patients in the Post-Covid, 699 (65.7%) Telehealth and 365 (34.3%) In-person follow-up visits. The readmission rate was 6.9% Pre-Covid and 7.2% Post-Covid (p=0.447) which did not change despite the shift to Telehealth. Those seen in-person Post-Covid visits were 46% more likely to be readmitted (p=0.026). Conclusion(s): Swift implementation of virtual clinics during the COVID-19 pandemic enabled video-based follow-up for the majority of GI oncology postoperative patients. Despite the high adoption of virtual follow-up visits, readmission rates did not increase. Further, higher readmissions in the Covid In-Person cohort suggest high-risk patients can effectively be identified and screened for in-person evaluation. Ongoing analysis is focused onidentifying a patient characteristic model for selecting appropriate postsurgical follow up.
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Background. After the first wave of the new SARS-CoV-2 coronavirus infection, the researchers focused on identifying potential short-and long-term complications of COVID-19, especially in high-risk patients, after prolonged hospitalization and intensive care. Objective. To study the outcomes, adverse effects of severe COVID-19 and their predictors 90 days after hospital discharge in elderly patients with asthma. Material and methods. The study included elderly patients (101 subjects, 42 males and 59 females;median age 74 (67;79) years) with asthma, discharged from the hospital after treatment of severe COVID-19. They were followed up for 90 days after discharge. In the hospital, COVID-19 was confirmed by laboratory tests (polymerase chain reaction method) and/or clinically and radiologically. All patients had a documented history of asthma according to GINA 2020 criteria. Results and discussion. During the 90-day post-hospital follow-up, 86 (85%) patients survived, and 15 (15%) died after discharge. Deaths were reported within 1 to 4 weeks after discharge: 6 subjects died during re-hospitalization, 6 at home, and 3 in a rehabilitation center. The multivariate regression analysis model, adjusted for all statistically significant indicators, and the ROC analysis showed the most significant predictors of 90-day post-hospital mortality and their threshold values. They include the Charlson comorbidity index >=4 points, lung damage according to computed tomography >=30%, the absolute number of eosinophils <=100 cells/muL, and concomitant diabetes mellitus. The analysis showed that 90-day post-hospital mortality depends on combinations of identified risk factors;a combination of two, three, and especially four risk factors statistically significantly is associated with patients' lower average survival time. Conclusion. The key risk factors for 90-day post-hospital mortality in elderly patients with asthma after severe COVID-19 include the Charlson comorbidity index, lung damage >=30% according to computed tomography, the absolute number of eosinophils <=100 cells/muL, and concomitant diabetes mellitus. The 90-day post-hospital survival rate is correlated with the number of risk factors identified in patients. The effect of asthma severity on 90-day post-hospital mortality in elderly patients was not observed.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.
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Introduction: The COVID-19 pandemic disrupted maintenance healthcare and elective surgical volume, particularly for benign diseases, including diverticulitis. The study evaluates if the surgical management of diverticulitis was impacted by the pandemic. Method(s): All colectomies for diverticulitis in ACS-NSQIP between 2017-2020 were identified by CPT and ICD codes. Cases were divided into groups by the operation year and quarter variables. The first quarter of 2020 was excluded. The pre- COVID group included cases before 2020 and the post-COVID group included cases after the first quarter of 2020. Associations between groups and baseline demographics and postoperative outcomes were compared. Result(s): 46,839 colectomies were evaluated with 38,860 pre- COVID and 7,979 post-COVID. The groups were similar except for CHF(p=0.027) and ASA classification (p<0.001), which were higher post-COVID. However, pandemic cases were associated with significant markers of disease severity. Pandemic cases were more likely to have preoperative sepsis (p<0.001), wound class 4 (p<0.001), and emergency status (p<0.001). There was no difference in the rates of minimally invasive surgery (MIS) or conversion to open among MIS cases. There were also a higher percentage of Hartmann's procedures (p<0.001) post-COVID. However, there was no difference in mortality rates, length of stay, reoperation, open abdomen, readmission, reintubation, or prolonged intubation. There was an association between the pandemic and rates of postoperative pneumonia(p<0.001), ileus (p=0.003), and septic shock (p<0.001). Conclusion(s): During the first year of the pandemic diverticulitis surgeries were performed on sicker patients, more commonly emergencies, and Hartmann's procedures. However, these patients maintained comparable postoperative outcomes.
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Comprehensive medication management (CMM) is increasingly provided by health care teams through telehealth or hybrid modalities. The purpose of this scoping literature review was to assess the published literature and examine the economic, clinical, and humanistic outcomes of CMM services provided by pharmacists via telehealth or hybrid modalities. This scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Randomized controlled trials (RCTs) and observational studies were included if they: reported on economic, clinical, or humanistic outcomes;were conducted via telehealth or hybrid modalities;included a pharmacist on their interprofessional team;and evaluated CMM services. The search was conducted between January 1, 2000, and September 28, 2021. The search strategy was adapted for use in Medline (PubMed);Embase;Cochrane;Cumulative Index to Nursing and Allied Health Literature;PsychINFO;International Pharmaceutical s;Scopus;and grey literature. Four reviewers extracted data using a screening tool developed for this study and reviewed for risk of bias. Authors screened 3500 articles, from which 11 studies met the inclusion criteria (9 observational studies, 2 RCTs). In seven studies, clinical outcomes improved with telehealth CMM interventions compared to either usual care, face-to-face CMM, or educational controls, as shown by the statistically significant changes in chronic disease clinical outcomes. Two studies evaluated and found increased patient and provider satisfaction. One study described a source of revenue for a telehealth CMM service. Overall, study results indicate that telehealth CMM services, in select cases, may be associated with improved clinical outcomes, but the methods of the included studies were not homogenous enough to conclude that telehealth or hybrid modalities were superior to in-person CMM. To understand the full impact on the Quadruple Aim, additional research is needed to investigate the financial outcomes of CMM conducted using telehealth or hybrid technologies.Copyright © 2022 Pharmacotherapy Publications, Inc.
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Post-infectious immunosuppression may cause repeated hospitalization after COVID-19 pneumonia. The results of the observational study of the Raphamin use for immunotherapy in the recovery period of COVID-19 pneumonia are presented. Aim(s): to estimate efficiency of Rafamin usage in patients who have completed the course of inpatient treatment for coronavirus pneumonia. Material and methods. Thirty patients aged 18 to 80 years after hospital treatment of COVID-19 pneumonia were included and randomized into 2 groups (1: 1). All patients received anticoagulants, antioxidants, metabolic drugs. Patients of the 1st group (n=15) were additionally prescribed Raphamin for 5 days. The primary endpoint was the number of repeated hospitalizations due to consequences of COVID-19 and/or new cases of acute respiratory infection for 28 days of follow-up. In addition, dynamic of immune and inflammatory markers (absolute lymphocyte count, C-reactive protein), proportion of patients with immune dysregulation, and duration of symptoms associated with COVID-19 were assessed. Results. The number of hospitalized patients in group 1 was 0 (vs 5 in group 2, p=0.0421). Study therapy reduced the risk of repeated hospitalizations in 1.44 times [relative risk 1.44;95% confidence interval 0.91-2.28];duration of breathlessness decreased from 24.5 to 15.3 days (p=0.0108), and duration of fatigue reduced from 23.6 to 16.8 days (p=0.0452). The proportion of patients with immune markers normalization was 2 times higher than in the comparison group on 14 day of observation. Conclusion. The immunomodulatory therapy may be recommended during the recovery period of COVID-19 pneumonia.Copyright © Eco-Vector, 2022.
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BACKGROUND: The 2018 adult heart allocation policy sought to improve waitlist risk stratification, reduce waitlist mortality and increase organ access. This system prioritized patients at greatest risk for waitlist mortality, especially individuals requiring temporary mechanical circulatory support (tMCS). Post-transplant complications are significantly higher in patients on tMCS before transplantation, and early post-transplant complications impact long-term mortality. We sought to determine if policy change affected early post-transplant complication rates of rejection, infection and hospitalization. METHODS: We included all adult, heart-only, single-organ heart transplant recipients from the UNOS registry with pre-policy (PRE) individuals transplanted between 11/1/2016 to 10/31/2017 and post-policy (POST) between 11/1/2018 to 10/31/2019. We used a multivariable logistic regression analysis to assess the effect of policy change on post-transplant rejection, infection, and hospitalization. Two COVID-19 eras (2019-2020, 2020-2021) were included in our analysis. RESULTS: The majority of baseline characteristics were comparable between PRE and POST era recipients. The odds of treated rejection (p=0.8), hospitalization (p=0.69), and hospitalization due to rejection (p=0.76) and infection (p=0.66) were similar between PRE and POST eras; there was a trend towards reduced odds of rejection (p=0.08). In both COVID eras, there was a clear reduction in rejection and treated rejection with no effect on hospitalization for rejection or infection. Odds of all-cause hospitalization was increased in both COVID eras. CONCLUSION: The UNOS policy change improves access to heart transplantation for higher acuity patients without increasing early post-transplant rates of treated rejection or hospitalization for rejection or infection, factors which portend risk for long-term post-transplant mortality.
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Introduction: Conservative estimates suggest that the cost of poor medication adherence (MA) to healthcare systems in the UK is close to 800Mn annually, however figures may be as high as 920Mn to 224Bn across larger parts of Europe and the US.(1) This may be attributed to the relationship between poor MA and an increased risk of hospital admission.(2) Often, cases are preventable and hence present an opportunity for avoidable costs if appropriately identified and managed, such as in the case of early readmissions (admissions occurring within 30 days of discharge). However, despite the association between MA and admissions, to date no predictive model has been developed that integrates a holistic Patient-Reported Outcome Measure (PROM) of MA. This study evaluated one such PROM, known as SPUR, as a predictor of general admission and early readmission in patients living with Type 2 Diabetes (T2D). Aim(s): This study sought to develop a predictive model of early readmission and general admission risk using the SPUR tool as a PROM of MA in patients living with T2D. Method(s): Using an observational study design, 6-month retrospective and prospective patient monitoring were conducted to assess the number of admissions and early readmissions during the observational period. Outcomes were reported as binary and count variables. Patients were previously recruited from a large London NHS Trust as part of a cross-sectional study to validate SPUR. Covariates of interest included: age, ethnicity, gender, education level, income, the number of medicines and medical conditions, and Covid-19 diagnoses. A Poisson or negative binomial model was employed for count outcomes, with the exponentiated coefficient indicating incident ratios (IR) [95% CI]. For binary outcomes (Coefficient, [95% CI]), a logistic regression model was developed. Result(s): Data were available for 200 patients. The modal age range was 70-79 years (n=74/200, 37.0%). Most participants were GCSE educated (42.5%), white (76.0%), and over a third female (36.0%) identified as female. For general admission risk as a count variable, a higher SPUR score (increased adherence) was significantly associated with a lower number of admissions (IR = 0.98, [0.96, 1.00]). Other factors associated with an increased risk of admission included: age >=80 years (IR = 5.18, [1.01, 26.55]), GCSE education (IR = 2.11, [1.15 - 3.87]), number of medical conditions (IR = 1.07, [1.01, 1.13]), and a positive Covid- 19 diagnosis during follow-up (IR = 1.83, [1.11, 3.02]). SPUR remained significant when modelled as a binary variable (-0.048, [-0.094, -0.003]). For early readmission, only the SPUR score was significantly predictive of the outcome as a binary variable (-0.051, [-0.094, -0.007]), indicating that those with a higher SPUR score were at less risk of an early readmission. Conclusion(s): The study successfully developed a predictive model for both general admission and early readmissions in patients living with T2D using the SPUR tool and several covariates of clinical relevance. However, a small sample size is noted as a limitation. Future work may look to integrate SPUR as a holistic PROM of MA to support the development of tailored interventions to reduce patients' risk of admission.
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Purpose of Study The current depart process resulted in slow work-flow and patient safety and equity concerns. The QI project aimed to improve resident satisfaction with the hospital discharge process. Methods Used The QI project was designed using the Model for Improvement. Starting April 2020, Plan-Do-Study-Act cycles included: hiring clinical team coordinators;creating standard depart instructions for diabetic ketoacidosis, pyelonephritis, seizures, croup and dehydration;uploading instructions to Powerchart;and clinician reminders to use instructions with families. Measures examined monthly, included resident satisfaction and patient readmissions. Summary of Results Resident satisfaction improved from 4.8 (February 2020) to 7.8 (August 2020) for the overall discharge process;from 5.3 to 7.9 for family education on all key points;from 6.0 to 7.7 for smooth transition of care;from 3.0 to 7.4 for no language barriers;and from 3.0 to 6.7 for no unnecessary delays, on a scale of 0/strongly disagree/ terrible to 10/strongly agree/excellent. Readmissions also trended downward. Conclusions During this QI project to address the depart process, resident satisfaction improved and readmissions declined. These results are encouraging, but should be interpreted in the context of decreased patient census due to COVID-19 and non-respiratory season, which may have decreased workload and increased education time and interpreter access. Next steps include PDSAs related to health literacy and Spanish translation.
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Background: The aim of this study was to describe the prevalence of persistent symptoms of COVID in hospitalized pediatric population one year after admission compared to a control group. Method(s): Prospective observational study conducted in 2 hospitals. We included patients aged 0-18 years hospitalized for acute COVID-19 more than a year ago and controls, matched by age and sex, hospitalized for causes other than COVID-19, and who had never COVID-19 at recruitment or during the follow-up. Families were contacted and a standardized survey was conducted. Persistent COVID/disease was defined as the presence of symptoms with onset in the first 3 months after COVID-19 and with persistence for more than 2 months. Result(s): 50 cases and 46 controls were analyzed, 58.3% male, 36% <5 years. Families were interviewed a median of 1.89 years (interquartile range;1.25-2.07) after hospitalization. The definition of persistent COVID-19/disease was met in 34% of cases vs. 37% of controls (p=0.767). Symptoms persisted >=11 months in 24% (12/50) of cases vs. 13% (6/46) of controls (p=0.182), with no differences by age group. The most frequent symptoms at 1 year in cases were fatigue (8%), headache (6%), poor appetite (6%), abdominal pain (6%) and variations in heart rate (6%). In controls, persistent symptoms were mostly abdominal pain (6%) and poor appetite (6%). The number of readmissions was 11/50 (22%) and 6/46 (13%) (p=0.267), respectively. On emotional/behavioral items, 16/50 (32%) of cases reported that their emotional state was worse or much worse than before admission, compared to 16/46 (34.7%). No risk factors associated with the development of persistent symptoms were found, except the length of hospital admission (p=0.043). Conclusion(s): In this study, the prevalence of persistent symptoms was not different in patients with and without COVID-19. 1-year persistence was higher in COVID-19 cases but did not reach significance. Persistence correlated with length of hospitalization.
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INTRODUCTION AND OBJECTIVE: Research demonstrates the benefits of robotic-assisted prostatectomies (RARP) in regard to blood loss and post-operative recovery, there is a paucity in the literature regarding RARP as an outpatient procedure. With minimal operating room capacity during COVID-19, advances in minimally invasive surgical techniques and a relatively healthy patient population, outpatient RARP may be feasible. The aim of our study was to demonstrate the safety and feasibility of RARP as a same day outpatient procedure. METHOD(S): A retrospective cohort study at a single institution was performed by four fellowship trained surgeons who routinely perform RARP. Patients were identified through billing records who underwent RARP between January 2019 and December 2021. Patients were divided into two cohorts, inpatient (one stay past midnight) and outpatient (defined as same day surgery with no stay past midnight). Individual surgeons admission necessity during COVID-19 limitations. We then extracted data using the electronic health record (EHR). The two groups were then compared using standard statistical methods for cohort studies. Statistical significance was defined as p<0.05. RESULT(S): Over a two-year period, a total of 497 RARP were performed with 139 (28%) outpatient cases. There was no difference in baseline demographics between the cohorts. There was a statistically significant difference in estimated blood loss (142 vs 102 mLs, p>=0.001) and operative time (193 vs 180 mins, p=0.004) in the inpatient vs outpatient cohorts, respectively. There was no significant difference in cancer stage, prostate size, or node/margin positivity between cohorts. There was a higher rate of readmissions (5% vs 0%, p=0.007) and number of ED presentations (0.15 vs 0.05, p=0.019) in the inpatient group. There was no difference in complication rates between the groups. Importantly, there was no significant difference in burden on the clinical staff demonstrated by no difference in number of phone calls to clinic, number of EHR messages, or opioid prescriptions on discharge. CONCLUSION(S): Overall, our data suggests that in a well selected patient group, RARP can safely be performed as an outpatient procedure with no significant differences on clinic staff workload or oncologic outcomes. While there was no pre-defined "algorithm" to determine outpatient vs inpatient surgery, the similarity in demographics and pre-operative characteristics between the groups lends support to performing this procedure as an outpatient with inpatient admission being reserved for select patients.
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Introduction/Aim: The risk factors for the development of severe COVID-19 illness have been well researched and documented since the beginning of the pandemic. Subsequently, mass vaccination rollouts have occurred with over 90% of the population being fully vaccinated. The aim of this single centre study was to describe the risk factors associated with the development of severe COVID-19 disease in the vaccinated population. Method(s): A retrospective analysis of all patients admitted to the Gold Coast University Hospital during a week (8 th to 14 th inclusive) in January 2022 was conducted. All patients were included regardless of primary indication for admission. Data was obtained using the electronic medical records and included patient demographics, comorbidities, vaccination status (with fully vaccinated defined as two or more doses of any COVID-19 vaccination), COVID-19 severity (as defined by the National COVID-19 Clinical Evidence Taskforce), complications of disease (such as secondary infection, pulmonary embolism, non-invasive and invasive ventilation, length of stay, ICU admission, mortality, representation/readmission). Univariate analysis was then performed. Result(s): 162 patients were admitted to the Gold Coast University Hospital during the study period and included in the analysis. 103 (63%) patients were fully vaccinated. 52 (32%) patients developed severe COVID-19 disease. In the fully vaccinated group, 34 (33%) patients developed severe COVID-19, compared with 18 (32%) in unvaccinated group). Chronic cardiovascular disease (p=<0.001), respiratory disease (p = 0.025), renal failure (p = 0.044), diabetes (p = 0.003) and current immunocompromise (p = 0.025) were associated with the development of severe COVID-19. Obesity was not a significant risk factor. Conclusion(s): Risk factors for progression to severe COVID 19 previously identified in unvaccinated patients early in the pandemic (with the exception of obesity) remain significantly associated with risk of severe disease in the vaccinated population.
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Background: There is limited data on the association between COVID-19 therapy and hospital readmissions, including during evolution of the pandemic over time. We examine all cause 30-day readmissions after a COVID-19 hospitalization among remdesivir (RDV)-treated vs non-RDV treated patients across different dominant variants of concern (VOC) periods: pre-Delta (May'20-Apr'21), Delta (May-Nov'21) and Omicron (Dec'21-Apr'22). Method(s): Using the Premier Healthcare Database, we examined adults hospitalized with a primary diagnosis of COVID-19 (ICD-10:U07.1) who were discharged alive from the COVID-19 hospitalization. All-cause readmission to the same hospital was examined using multivariate logistic regression. The model adjusted for: age, corticosteroids use, VOC period, Charlson comorbidity index, maximum oxygenation requirements and ICU admission during COVID-19 hospitalization. Result(s): In the study period (May'20-Apr'22), 440,601 patients with a primary diagnosis of COVID-19 were discharged alive, of which 53% received RDV. As compared to non-RDV, RDV patients were younger (median[IQR]: 62[51-73] vs 64[52-76]), with a lower proportion with no supplementary oxygen charges (30% vs 52%), a higher proportion with low-flow oxygen (46% vs 36%), highflow oxygen/non-invasive ventilation (20% vs 10%), and invasive mechanical ventilation/ECMO (4% vs 2%). Among RDV-treated, the all-cause 30-day readmission was 6.3% compared to 9.1% (p< .0001) in non-RDV treated. Lower readmission for RDV vs non-RDV was seen in Pre-delta (6.3% vs 9.3%;p< .0001), Delta (5.1% vs 7.8%;p< .0001), and Omicron (8.7% vs 9.9%;p< .0001) (Fig). After adjusting for age and characteristics at index hospitalization including corticosteroid, RDV patients had significantly lower likelihood of all-cause 30-day readmission (OR[95% CI]:0.73[0.72-0.75]) as compared to non-RDV. Significantly Lower odds of 30-day readmission for RDV vs non-RDV patients were observed in Pre-delta (0.69[0.67-0.71]), Delta (0.72[0.68-0.76]) and Omicron-(0.87[0.83-0.92]) (Fig). Similarly, RDV-related reduction in readmissions was also seen for COVID-19 related readmissions. Conclusion(s): RDV use during the COVID-19 hospitalization was associated with significantly lower likelihood of all-cause 30-day readmission across the VOC periods of the pandemic May 2020 till April 2022. The lower rate of hospital re-admission for RDV-treated patients was observed despite the RDV group having higher supplemental oxygen requirement during their index COVID-19 hospitalization.
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Introduction/Aim: Western Australia had its first wave of COVID-19 cases in March 2022. This retrospective study assessed the adherence to guidelines for prescribing COVID-19 disease modifying therapies (DMT), based on the National COVID-19 Clinical Evidence Taskforce Australian guidelines for the clinical care of people with COVID-19. Method(s): The first 100 cases admitted to the respiratory ward at Fiona Stanley Hospital (FSH) with confirmed COVID-19 were reviewed. Data was collected from the hospital Digital Medical Record to determine clinical severity on presentation and the need for DMT. Prescribing of DMT was assessed for adherence against the National guidelines and/or whether it was recommended by the infectious diseases (ID) team. Disease progression, length of stay, mortality and readmission rates were assessed within 28 days of admission. Result(s): During the audit period (11.03.2022 - 19.04.2022), the National guidelines underwent six updates. In the first 100 cases of COVID-19, the median (IQR) age was 65.11 years, the median (IQR) length of stay was 4 days and the mortality rate was 1%. There was a 7% readmission rate with 6% of patients treated with DMT having disease progression. 16% of patients were immunocompromised and 58% were partially vaccinated or unvaccinated. 63% of unvaccinated patients had severe disease. 84% of patients were recommended a DMT, of which, 63% received the correct combination of DMT. 14% of cases were recommended and not prescribed a DMT, though 71% of these cases were recommended budesonide alone. 12% were not recommended and not prescribed a DMT and 4% were not recommended, yet prescribed a DMT. Conclusion(s): Overall adherence with the National guidelines/ID advice for DMT was >80% excluding inhaled budesonide. The continually evolving nature of the National guidelines added complexity to prescribing. A dedicated medical proforma would aid with risk stratification and DMT prescribing for patients with COVID-19.
ABSTRACT
Background: In sub-Saharan Africa 23% of people living with HIV (PLWH) die 6 months after discharge from a hospital. Failure to engage in care posthospitalization is associated with mortality. We evaluated whether a series of structured post-hospitalization home visits would reduce mortality among recently discharged PLHIV in South Africa. Method(s): We designed a home visit package with up to 6 home visits starting 1-week post-hospitalization and every 2 weeks as required thereafter. The home visit team consisted of a professional nurse and a counsellor;they used a structured assessment algorithm to evaluate participants' social and medical needs, obtained direction from a doctor for further guidance, collected specimens for laboratory testing, or referred the participant for further evaluation. We compared this intervention to care as usual in a pilot randomized trial conducted at a single hospital in South Africa. The primary goals of the study were to determine feasibility and acceptability and identify opportunities to improve the home visit intervention. We report effectiveness for PLWH based on the primary outcome of all-cause mortality 6 months after discharge from hospital. Result(s): We enrolled 125 PLWH who were randomized 1:1 to home visit intervention or care as usual;14 were late exclusions because they died prior to discharge (n=13) or had a prolonged hospital stay (n=1). In the 111 PLHIV included in the analysis, the median (interquartile range [IQR]) age was 39 (33, 48) years, 69% were women, the median duration of the index hospitalization was 7 (3, 12) days, and primary reasons for the index hospitalization included TB (31%), heart and/or lung related diseases (22%), non-TB/COVID infections (25%), and anemia (15%). Most [96% (n=53/55)] intervention arm participants received >=1 home visits. By six months 14 (13%) participants died: 4 (7%) in home visit intervention arm and 10 (18%) in the care as usual arm (p=0.09). A similar proportion of readmissions occurred by arm: 20 (36%) in the home visit arm and 22 (39%) in care as usual. Conclusion(s): Home visits done after discharge from hospital provided care services to an extremely vulnerable group of PLWH at very high mortality risk . We demonstrated both feasibility and preliminary efficacy of delivering post-hospital visits. Structured home visits appear to be a promising approach that would benefit PLWH. Larger studies in diverse populations with cost effectiveness components are required.
ABSTRACT
Background. After the first wave of the new SARS-CoV-2 coronavirus infection, the researchers focused on identifying potential short-and long-term complications of COVID-19, especially in high-risk patients, after prolonged hospitalization and intensive care. Objective. To study the outcomes, adverse effects of severe COVID-19 and their predictors 90 days after hospital discharge in elderly patients with asthma. Material and methods. The study included elderly patients (101 subjects, 42 males and 59 females;median age 74 (67;79) years) with asthma, discharged from the hospital after treatment of severe COVID-19. They were followed up for 90 days after discharge. In the hospital, COVID-19 was confirmed by laboratory tests (polymerase chain reaction method) and/or clinically and radiologically. All patients had a documented history of asthma according to GINA 2020 criteria. Results and discussion. During the 90-day post-hospital follow-up, 86 (85%) patients survived, and 15 (15%) died after discharge. Deaths were reported within 1 to 4 weeks after discharge: 6 subjects died during re-hospitalization, 6 at home, and 3 in a rehabilitation center. The multivariate regression analysis model, adjusted for all statistically significant indicators, and the ROC analysis showed the most significant predictors of 90-day post-hospital mortality and their threshold values. They include the Charlson comorbidity index >=4 points, lung damage according to computed tomography >=30%, the absolute number of eosinophils <=100 cells/muL, and concomitant diabetes mellitus. The analysis showed that 90-day post-hospital mortality depends on combinations of identified risk factors;a combination of two, three, and especially four risk factors statistically significantly is associated with patients' lower average survival time. Conclusion. The key risk factors for 90-day post-hospital mortality in elderly patients with asthma after severe COVID-19 include the Charlson comorbidity index, lung damage >=30% according to computed tomography, the absolute number of eosinophils <=100 cells/muL, and concomitant diabetes mellitus. The 90-day post-hospital survival rate is correlated with the number of risk factors identified in patients. The effect of asthma severity on 90-day post-hospital mortality in elderly patients was not observed.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.