Cost-benefit analysis of Intensive Care Unit with Activity-Based Costing approach in the era COVID-19 pandemic: A case study from Iran.

BACKGROUND: Providing intensive care to acute patients is a vital part of health systems. However, the high cost of Intensive Care Units (ICU) has limited their development, especially in low-income countries. Due to the increasing need for intensive care and limited resources, ICU cost management is important. This study aimed to analyze the cost-benefit of ICU during COVID-19 in Tehran, Iran. METHODS: This cross-sectional study is an economic evaluation of health interventions. The study was conducted in the COVID-19 dedicated ICU, from the provider's point of view and within one-year horizon. Costs were calculated using a top-down approach and the Activity-Based Costing technique. Benefits were extracted from the hospital's HIS system. Benefit Cost ratio (BCR) and Net Present Value (NPV) indexes were used for cost-benefit analysis (CBA). A sensitivity analysis was performed to evaluate the dependence of the CBA results on the uncertainties in the cost data. Analysis was performed with Excel and STATA software. RESULTS: The studied ICU had 43 personnel, 14 active beds, a 77% bed occupancy rate, and 3959 occupied bed days. The total costs were $2,372,125.46 USD, of which 70.3% were direct costs. The highest direct cost was related to human resources. The total net income was $1,213,314.13 USD. NPV and BCR were obtained as $-1,158,811.32 USD and 0.511 respectively. CONCLUSION: Despite operating with a relatively high capacity, ICU has had high losses during the COVID-19. Proper management and re-planning in the structure of human resources is recommended due to its importance in the hospital economy, provision of resources based on needs assessment, improvement of drugs management, reduction of insurance deductions in order to reduce costs and improve ICU productivity.

The Open, Randomized, Positive Control Clinical Trial of Guluronic Acid (G2013) on SARS-CoV-2 Patients.

INTRODUCTION: Recently, the coronavirus disease 2019 (COVID-19) infection, with a vast spectrum of clinical and paraclinical symptoms has been a major health concern worldwide. Therapeutical management of COVID-19 includes antiviral and anti-inflammatory drugs. NSAIDs, as the second-line therapy, are often prescribed to relieve the symptoms of COVID-19. The a-L-guluronic acid (G2013) is a non-steroidal patented (PCT/EP2017/067920) agent with immunomodulatory properties. This study investigated the effect of G2013 on the outcome of COVID-19 in moderate to severe patients. METHODS: The disease's symptoms were followed up during hospitalization and for 4 weeks postdischarge in G2013 and control groups. Paraclinical indices were tested at the time of admission and discharge. Statistical analysis was performed on clinical and paraclinical parameters and ICU admission and death rate. RESULTS: The primary and secondary outcomes indicated the efficiency of G2013 on COVID-19 patients' management. There were significant differences in the duration of improvement of fever, coughing, fatigue/malaise. Also, a comparison of paraclinical indices at the time of admission and discharge showed significant change in prothrombin, D-dimer, and platelet. As the main findings of this study, G2013 significantly decreased the percentage of ICU admission (control:17 patients, G2013:1 patient) and death (control: 7 cases, G2013:0). CONCLUSION: These results conclude that G2013 has sufficient potential to be considered for moderate to severe COVID-19 patients, can significantly reduce the clinical and physical complications of this disease, has a positive effect on modulating the coagulopathy process, and aids in saving lives.

Sniffer dogs as a screening/diagnostic tool for COVID-19: a proof of concept study.

BACKGROUND: Sniffer dogs are able to detect certain chemical particles and are suggest to be capable of helping diagnose some medical conditions and complications, such as colorectal cancer, melanoma, bladder cancer, and even critical states such as hypoglycemia in diabetic patients. With the global spread of COVID-19 throughout the world and the need to have a real-time screening of the population, especially in crowded places, this study aimed to investigate the applicability of sniffer dogs to carry out such a task. METHODS: Firstly, three male and female dogs from German shepherd (Saray), German black (Kuzhi) and Labrador (Marco) breeds had been intensively trained throughout the classical conditioning method for 7 weeks. They were introduced to human specimens obtained from the throat and pharyngeal secretions of participants who were already reported positive or negative for SARS-COV-2 infection be RT-PCR. Each dog underwent the conditioning process for almost 1000 times. In the meantime another similar condition process was conducted on clothes and masks of COVID-19 patient using another three male and female dogs from Labrador (Lexi), Border gypsy (Sami), and Golden retriever (Zhico) breeds. In verification test for the first three dogs, 80 pharyngeal secretion samples consisting of 26 positive and 54 negative samples from different medical centers who underwent RT-PCR test were in a single-blind method. In the second verification test for the other three dogs, masks and clothes of 50 RT-PCR positive and 70 RT-PCR negative cases from different medical center were used. RESULTS: In verification test using pharyngeal secretion, the sniffer dogs' detection capability was associated with a 65% of sensitivity and 89% of specificity and they amanged to identify 17 out of the 26 positive and 48 out of the 54 true negative samples. In the next verification test using patients' face masks and clothes, 43 out of the 50 positive samples were correctly identified by the dogs. Moreover, out of the 70 negative samples, 65 samples were correctly found to be negative. The sensitivity of this test was as high as 86% and its specificity was 92.9%. In addition, the positive and negative predictive values were 89.6 and 90.3%, respectively. CONCLUSION: Dogs are capable of being trained to identify COVID-19 cases by sniffing their odour, so they can be used as a reliable tool in limited screening.

Acute transverse myelitis after SARS-CoV-2 infection: a rare complicated case of rapid onset paraplegia.

A 63-year-old Caucasian male, known case of controlled type 2 diabetes, chronic renal failure, and ischemic heart disease, was presented with weakness and loss of movement in lower limbs, an absent sensation from the chest below, constipation, and urinary retention. About 4 days before these symptoms, he experienced a flu-like syndrome. Suspicious for COVID-19, his nasopharyngeal specimen's reverse transcription-polymerase chain reaction (RT-PCR) resulted positive. Chest X-ray and HRCT demonstrated severe pulmonary involvement. Immediately, he was admitted to the emergency ward, and the treatment was started according to the national COVID-19 treatment protocol. Subsequently, diagnostic measures were taken to investigate the patient's non-heterogeneous peripheral (spinal) neuromuscular manifestations. Brain CT scan and MRI were normal, but spinal MRI with gadolinium contrast showed extensive increased T2 signal involving central gray matter and dorsal columns, extended from C7 to T12 with linear enhancement in the sagittal plane, posteriorly within the mid and lower thoracic cord. The CSF specimen demonstrated pleocytosis, positive RT-PCR for SARS-CoV-2, and elevated IgG index. Clinical presentation, MRI, CSF, and laboratory findings prioritized the acute transverse myelitis (ATM) as a probable complication of COVID-19 infection over other differential diagnoses. Intravenous methylprednisolone and, subsequently, IV human immunoglobulin were added to the treatment regimen. In the end, the complete resolution of dysesthesia, urinary retention, and constipation were achieved. After continuous and extended respiratory and motor rehabilitation programs, he was discharged asymptomatic.