Sewage reclamation process as multifactorial public health risk concern: a longitudinal study. (preprint)

This year-long research analysed emerging risks in influent, effluent wastewaters and biosolids from six wastewater treatment plants in Spain's Valencian Region. Specifically, it focused on human enteric and respiratory viruses, bacterial and viral faecal contamination indicators, extended spectrum beta-lactamases-producing Escherichia coli and antibiotic resistance genes. Additionally, particles and microplastics in biosolid and wastewater samples were assessed. Human enteric viruses were prevalent in influent wastewater, with limited post-treatment reduction. Wastewater treatment effectively eliminated respiratory viruses, except for low levels of SARS-CoV-2 in effluent and biosolid samples, suggesting minimal public health risk. Antibiotic resistance genes and microplastics were persistently found in effluent and biosolids, thus indicating treatment inefficiencies and potential environmental dissemination. This multifaced research sheds light on diverse contaminants present after water reclamation, emphasizing the interconnectedness of human, animal, and environmental health in wastewater management. It underscores the need for a One Health approach to address the United Nations Sustainable Development Goals.

Preoperative triage to detect SARS-CoV-2 infection in surgical patients: lessons learned for resuming surgery.

PURPOSE: To define the impact of the COVID-19 outbreak on hospital surgical activity and assess the incidence of perioperative COVID-19 within two protocolized screening pathways for elective and non-elective surgery. METHODS: We conducted a prospective cohort study of adults undergoing surgery during the COVID-19 outbreak. The elective pathway included telephone surveys and a quantitative polymerase-chain-reaction test (RT-PCR) only for patients who were asymptomatic and at low risk of infection. Only patients with negative screening underwent surgery. In the non-elective pathway, preoperative screening was performed during the hospital admission. RESULTS: Among 835 patients considered for the elective pathway, 725 had negative RT-PCR results and underwent surgery. This reflects an 83% reduction in surgical activity from 2019. Moreover, 596 patients underwent non-elective surgery, representing a 28% reduction. Preoperatively, 39 patients (6.5%) tested positive for SARS-CoV-2 and underwent surgery through the non-elective pathway, vs. none in the elective pathway (p < 0.001). Postoperatively, 1.4% of elective surgery patients and 2.2% of non-elective surgery patients tested positive (p > 0.05). Mortality was higher in non-elective surgery (0.6% vs. 2.9%, p < 0.001) and in patients with COVID-19 (0% vs. 14%, p < 0.001). CONCLUSIONS: The low incidence of COVID-19 in elective surgeries during the outbreak demonstrates the importance and effectiveness of preoperative screening, combining surveys and RT-PCR.

Dual-Action Effect of Gallium and Silver Providing Osseointegration and Antibacterial Properties to Calcium Titanate Coatings on Porous Titanium Implants.

Previously, functional coatings on 3D-printed titanium implants were developed to improve their biointegration by separately incorporating Ga and Ag on the biomaterial surface. Now, a thermochemical treatment modification is proposed to study the effect of their simultaneous incorporation. Different concentrations of AgNO3 and Ga(NO3)3 are evaluated, and the obtained surfaces are completely characterized. Ion release, cytotoxicity, and bioactivity studies complement the characterization. The provided antibacterial effect of the surfaces is analyzed, and cell response is assessed by the study of SaOS-2 cell adhesion, proliferation, and differentiation. The Ti surface doping is confirmed by the formation of Ga-containing Ca titanates and nanoparticles of metallic Ag within the titanate coating. The surfaces generated with all combinations of AgNO3 and Ga(NO3)3 concentrations show bioactivity. The bacterial assay confirms a strong bactericidal impact achieved by the effect of both Ga and Ag present on the surface, especially for Pseudomonas aeruginosa, one of the main pathogens involved in orthopedic implant failures. SaOS-2 cells adhere and proliferate on the Ga/Ag-doped Ti surfaces, and the presence of gallium favors cell differentiation. The dual effect of both metallic agents doping the titanium surface provides bioactivity while protecting the biomaterial from the most frequent pathogens in implantology.

Analyzing the role of ACE2, AR, MX1 and TMPRSS2 genetic markers for COVID-19 severity.

BACKGROUND: The use of molecular biomarkers for COVID-19 remains unconclusive. The application of a molecular biomarker in combination with clinical ones that could help classifying aggressive patients in first steps of the disease could help clinician and sanitary system a better management of the disease. Here we characterize the role of ACE2, AR, MX1, ERG, ETV5 and TMPRSS2 for trying a better classification of COVID-19 through knowledge of the disease mechanisms. METHODS: A total of 329 blood samples were genotyped in ACE2, MX1 and TMPRSS2. RNA analyses were also performed from 258 available samples using quantitative polymerase chain reaction for genes: ERG, ETV5, AR, MX1, ACE2, and TMPRSS2. Moreover, in silico analysis variant effect predictor, ClinVar, IPA, DAVID, GTEx, STRING and miRDB database was also performed. Clinical and demographic data were recruited from all participants following WHO classification criteria. RESULTS: We confirm the use of ferritin (p < 0.001), D-dimer (p < 0.010), CRP (p < 0.001) and LDH (p < 0.001) as markers for distinguishing mild and severe cohorts. Expression studies showed that MX1 and AR are significantly higher expressed in mild vs severe patients (p < 0.05). ACE2 and TMPRSS2 are involved in the same molecular process of membrane fusion (p = 4.4 × 10-3), acting as proteases (p = 0.047). CONCLUSIONS: In addition to the key role of TMPSRSS2, we reported for the first time that higher expression levels of AR are related with a decreased risk of severe COVID-19 disease in females. Moreover, functional analysis demonstrates that ACE2, MX1 and TMPRSS2 are relevant markers in this disease.

A study on group fairness in healthcare outcomes for nursing home residents during the COVID-19 pandemic in the Basque Country (preprint)

We explore the effect of nursing home status on healthcare outcomes such as hospitalisation, mortality and in-hospital mortality during the COVID-19 pandemic. Some claim that in specific Autonomous Communities (geopolitical divisions) in Spain, elderly people in nursing homes had restrictions on access to hospitals and treatments, which raised a public outcry about the fairness of such measures. In this work, the case of the Basque Country is studied under a rigorous statistical approach and a physician's perspective. As fairness/unfairness is hard to model mathematically and has strong real-world implications, this work concentrates on the following simplification: establishing if the nursing home status had a direct effect on healthcare outcomes once accounted for other meaningful patients' information such as age, health status and period of the pandemic, among others. The methods followed here are a combination of established techniques as well as new proposals from the fields of causality and fair learning. The current analysis suggests that as a group, people in nursing homes were significantly less likely to be hospitalised, and considerably more likely to die, even in hospitals, compared to their non-residents counterparts during most of the pandemic. Further data collection and analysis are needed to guarantee that this is solely/mainly due to nursing home status.

Hybrid Immunization In COVID-19: Time Matters (preprint)

Purpose: SARS-CoV-2 reinfections have been frequent, even among those vaccinated. The aim of this study is to know if hybrid immunity (infection+vaccination) is affected by the moment of vaccination and the number of doses received. Methods: We conducted a retrospective study in 745 patients with a history of COVID-19 reinfection and recovered the dates of infection and reinfection and vaccination status (date and number of doses). To assess differences in the time to reinfection(tRI) between unvaccinated, vaccinated before 6 months and later, and comparing one, two or three doses(incomplete, complete and booster regime) we performed  the log-rank test of the cumulative incidence calculated as 1 minus the Kaplan-Meier estimator. Results: The tRI was significantly higher in those vaccinated vs. non-vaccinated (q<0.001). However, an early incomplete regime(1 dose) protects similar time than not receiving a vaccine. Vaccination before 6 months after infection showed a lower tRI compared to those vaccinated later with the same regime(q<0.001). Actually, early vaccination with complete(2 doses) and booster regimes(3 doses) provided lower length of protection compared to vaccinating later with incomplete(1 dose) and complete regime(2 doses), respectively.  Vaccination with complete and booster regimes significantly increases the tRI(q<0.001). Conclusion: Vaccination increases the time it takes for a person to become reinfected with SARS-CoV-2. Increasing the time from infection to vaccination increases the time in which a person could be reinfected. Booster doses increase the time to reinfection. Those results emphasize the role of vaccines and boosters during the pandemic and can guide strategies on future vaccination policy.

A hybrid machine learning-mathematical programming optimization approach for municipal solid waste management during the pandemic

This paper provides a mathematical optimization strategy for optimal municipal solid waste management in the context of the COVID-19 epidemic. This strategy integrates two approaches: optimization and machine learning models. First, the optimization model determines the optimal supply chain for the municipal waste management system. Then, machine learning prediction models estimate the required parameters over time, which helps generate future projections for the proposed strategy. The optimization model was coded in the General Algebraic Modeling System, while the prediction model was coded in the Python programming environment. A case study of New York City was addressed to evaluate the proposed strategy, which includes extensive socioeconomic data sets to train the machine learning model. We found the predicted waste collection over time based on the socioeconomic data. The results show trade-offs between the economic (profit) and environmental (waste sent to landfill) objectives for future scenarios, which can be helpful for possible pandemic scenarios in the following years. Supplementary Information The online version contains supplementary material available at 10.1007/s10668-023-03354-2.

Early biochemical analysis of COVID-19 patients helps severity prediction.

COVID-19 pandemic has put the protocols and the capacity of our Hospitals to the test. The management of severe patients admitted to the Intensive Care Units has been a challenge for all health systems. To assist in this challenge, various models have been proposed to predict mortality and severity, however, there is no clear consensus for their use. In this work, we took advantage of data obtained from routine blood tests performed on all individuals on the first day of hospitalization. These data has been obtained by standardized cost-effective technique available in all the hospitals. We have analyzed the results of 1082 patients with COVID19 and using artificial intelligence we have generated a predictive model based on data from the first days of admission that predicts the risk of developing severe disease with an AUC = 0.78 and an F1-score = 0.69. Our results show the importance of immature granulocytes and their ratio with Lymphocytes in the disease and present an algorithm based on 5 parameters to identify a severe course. This work highlights the importance of studying routine analytical variables in the early stages of hospital admission and the benefits of applying AI to identify patients who may develop severe disease.

Rivaroxaban to prevent major clinical outcomes in non-hospitalised patients with COVID-19: the CARE - COALITION VIII randomised clinical trial.

Background: COVID-19 progression is associated with an increased risk of arterial and venous thrombosis. Randomised trials have demonstrated that anticoagulants reduce the risk of thromboembolism in hospitalised patients with COVID-19, but a benefit of routine anticoagulation has not been demonstrated in the outpatient setting. Methods: We conducted a randomised, open-label, controlled, multicentre study, evaluating the use of rivaroxaban in mild or moderate COVID-19 patients. Adults ≥18 years old, with probable or confirmed SARS-CoV-2 infection, presenting within ≤7 days from symptom onset with no clear indication for hospitalization, plus at least 2 risk factors for complication, were randomised 1:1 either to rivaroxaban 10 mg OD for 14 days or to routine care. The primary efficacy endpoint was the composite of venous thromboembolic events, need of mechanical ventilation, acute myocardial infarction, stroke, acute limb ischemia, or death due to COVID-19 during the first 30 days. ClinicalTrials.gov: NCT04757857. Findings: Enrollment was prematurely stopped due to sustained reduction in new COVID-19 cases. From September 29th, 2020, through May 23rd, 2022, 660 patients were randomised (median age 61 [Q1-Q3 47-69], 55.7% women). There was no significant difference between rivaroxaban and control in the primary efficacy endpoint (4.3% [14/327] vs 5.8% [19/330], RR 0.74; 95% CI: 0.38-1.46). There was no major bleeding in the control group and 1 in the rivaroxaban group. Interpretation: On light of these findings no decision can be made about the utility of rivaroxaban to improve outcomes in outpatients with COVID-19. Metanalyses data provide no evidence of a benefit of anticoagulant prophylaxis in outpatients with COVID-19. These findings were the result of an underpowered study, therefore should be interpreted with caution. Funding: COALITION COVID-19 Brazil and Bayer S.A.

SARS-CoV-2 incidence among teaching staff in primary and secondary schools-Wales, 2020-2021.

BACKGROUND: During the COVID-19 pandemic, face-to-face delivery of education in schools across Wales was disrupted with repeated school closures to limit risk of infection. Evidence describing the incidence of infection amongst school staff during times when schools were open is limited. A previous research study found infection rates were higher in English primary school settings when compared with secondary. An Italian study suggested teachers weren't at greater risk of infection in comparison to the general population. The aim of this study was to identify whether educational staff had higher incidence rates than their counterparts in the general population in Wales, and secondly whether incidence rates amongst staff differed between primary and secondary school settings and by teacher age. METHODS: We performed a retrospective observational cohort study using the national case detection and contact tracing system implemented during the COVID pandemic. Age stratified person-day COVID-19 incidence rates amongst teaching staff linked to primary or secondary schools in Wales were calculated for the autumn and summer terms during 2020-2021. RESULTS: The observed pooled COVID-19 incidence rates for staff across both terms was 23.30 per 100,000 person days (95% CI: 22.31-24.33). By comparison, the rate in the general population aged 19-65, was 21.68 per 100,000 person days (95%: CI 21.53-21.84). Incidence among teaching staff was highest in the two youngest age groups (< 25 years and 25-29 years). When compared to the age matched general population, incidence was higher in the autumn term amongst primary school teachers aged ≤ 39 years, and in the summer term higher only in the primary school teachers aged < 25 years. CONCLUSION: The data were consistent with an elevated risk of COVID-19 amongst younger teaching staff in primary schools when compared to the general population, however differences in case ascertainment couldn't be excluded as a possible reason for this. Rate differences by age group in teaching staff mirrored those in the general population. The risk in older teachers (≥ 50 years) in both settings was the same or lower than in the general population. Amongst all age groups of teachers maintaining the key risk mitigations within periods of COVID transmission remain important.

Virtual labs for the study of enzymatic stirred tank bioreactors

Virtual laboratories have successfully proven to be very versatile and intuitive when simulating experiments in science, biotechnology, and engineering. These tools must complement the experiments carried out in real labs or pilot plants. This study describes the creation of a virtual laboratory through the Easy JavaScript Simulation platform. A web‐based simulation of an enzymatic stirred‐tank bioreactor has been built using a dynamic model. This simulation reproduces the behavior of a continuous bioreactor, including the deviations of ideal mixing conditions as by the use of an in tanks‐in‐series model for nonideal flow. This article describes the continuous dynamic model in a stirred tank bioreactor, as well as the operation of a tool capable of carrying out virtual practice with students. Practice scripts have been developed that should be used by students during the practical classes. This interactive tool is powerful and useful to develop many experiments by varying the different input parameters, saving time and resources. In addition, the tool allows following teaching sessions in specific situations such as the health situation derived from the pandemic caused by COVID‐19.

Impact of COVID-19 on diagnosis of tuberculosis, multidrug-resistant tuberculosis, and on mortality in 11 countries in Europe, Northern America, and Australia. A Global Tuberculosis Network study.

OBJECTIVES: Although evidence is growing on the overall impact of the COVID-19 pandemic on tuberculosis (TB) services, global studies based on national data are needed to better quantify the extent of the impact and the countries' preparedness to tackle the two diseases. The aim of this study was to compare the number of people with new diagnoses or recurrence of TB disease, the number of drug-resistant (DR)-TB, and the number of TB deaths in 2020 vs 2019 in 11 countries in Europe, Northern America, and Australia. METHODS: TB managers or directors of national reference centers of the selected countries provided the agreed-upon variables through a validated questionnaire on a monthly basis. A descriptive analysis compared the incidence of TB and DR-TB and mortality of the pre-COVID-19 year (2019) vs the first year of the COVID-19 pandemic (2020). RESULTS: Comparing 2020 vs 2019, lower number of TB cases (new diagnosis or recurrence) was notified in all countries (except USA-Virginia and Australia), and fewer DR-TB notifications (apart from France, Portugal, and Spain). The deaths among TB cases were higher in 2020 compared to 2019 in most countries with three countries (France, The Netherlands, USA-Virginia) reporting minimal TB-related mortality. CONCLUSIONS: A comprehensive evaluation of medium-term impact of COVID-19 on TB services would benefit from similar studies in multiple settings and from global availability of treatment outcome data from TB/COVID-19 co-infected patients.

Enhancing physicians' radiology diagnostics of COVID-19's effects on lung health by leveraging artificial intelligence.

Introduction: This study aimed to develop an individualized artificial intelligence model to help radiologists assess the severity of COVID-19's effects on patients' lung health. Methods: Data was collected from medical records of 1103 patients diagnosed with COVID-19 using RT- qPCR between March and June 2020, in Hospital Madrid-Group (HM-Group, Spain). By using Convolutional Neural Networks, we determine the effects of COVID-19 in terms of lung area, opacities, and pulmonary air density. We then combine these variables with age and sex in a regression model to assess the severity of these conditions with respect to fatality risk (death or ICU). Results: Our model can predict high effect with an AUC of 0.736. Finally, we compare the performance of the model with respect to six physicians' diagnosis, and test for improvements on physicians' performance when using the prediction algorithm. Discussion: We find that the algorithm outperforms physicians (39.5% less error), and thus, physicians can significantly benefit from the information provided by the algorithm by reducing error by almost 30%.

Recommendations for the care of patients with cardiovascular disease in health emergency situations: a call to action.

COVID-19 has had a negative impact on the health care of patients with cardiovascular disease and patients at high risk of cardiovascular disease. The restrictions affecting access to the health care system have conditioned the care received, resulting in poorer control and a higher risk of events. Taking action to improve the care provided during health emergencies is mandatory. It is important to promote the development of telemedicine and patient empowerment by fostering health literacy and a higher degree of self-care. In addition, primary care and coordination between health care levels should be improved. Moreover, the simplification and optimization of treatment, for example, using the cardiovascular polypill, have led to an improvement in adherence, better control of vascular risk factors, and a reduced risk of events. The present document provides specific recommendations for improving the care provided to patients under a health emergency.

Active medical recommendation is the best tool for increasing influenza vaccine coverage in healthy adult workers

Introduction In Spain, influenza vaccination is available in companies free of charge for their workers. Despite this, vaccination coverage against influenza is very low in these groups. Objectives The aim of this work is to know the reasons for acceptance of influenza vaccination in a working population. Methods During the 2021–2022 influenza vaccination campaign, we conducted a survey of two groups of workers at the automobile factories of RENAULT ESPAÑA S.A. in the cities of Valladolid and Palencia (Spain). The first group (NV) was formed by 304 (33.5%) workers who did not receive the influenza vaccine in the previous season. The second (V) was formed by 604 workers (66.5%) who had been vaccinated against influenza at least the previous season. In the NV group, they were asked the reasons why they did not get vaccinated the previous season and if they did so in 2021–2022. In group V, only the reasons for continuing to be vaccinated were asked. Results In NV, the main reason for avoiding vaccination in the previous season was the lack of perception of the severity of the influenza infection (74.7%), and 31.6% and 29.0% of them decided to get vaccinated during the 2021–2022 season due to the fear of co-infection of SARS-CoV-2 and influenza and medical recommendations respectively. The 83.5% of group V responded that the reason for getting vaccinated in 2021–2022 was their adherence to vaccination. Conclusions The results show that medical recommendation is the best tool to vaccinate workers against influenza and make them adhere to it. Also, the fear to co-infection of COVID-19 and flu was a frequent reason for getting vaccinated, above all in NV. Resumen Introducción En España la vacunación antigripal está disponible en las empresas de manera gratuita para sus trabajadores. A pesar de esto, las coberturas vacunales frente a la gripe son muy bajas en estos grupos. Objetivos El objetivo es conocer los motivos de aceptación de la vacunación antigripal en la población trabajadora. Métodos Durante la campaña de vacunación de gripe 2021–2022 realizamos una encuesta a dos grupos de trabajadores de las factorías automovilísticas de RENAULT ESPAÑA S.A. en las ciudades de Valladolid y Palencia. El primer grupo (NV) estuvo formado por 304 (33,5%) trabajadores que no recibieron la vacuna antigripal la temporada anterior. El segundo (V) estaba formado por 604 trabajadores (66,5%) que habían sido vacunados contra la gripe al menos la temporada anterior. En el grupo NV se les preguntó las razones de porque no se vacunaron la temporada anterior y si lo hicieron en 2021–2022. En el grupo V se preguntó únicamente las razones para seguirse vacunando. Resultados En NV, la principal razón para evitar la vacunación en la temporada anterior fue la falta de percepción de la gravedad de la gripe (74,7%), y el 31,6% y 29,0% de ellos decidió vacunarse durante la temporada 2021–2022 por el miedo a la co-infección del SARS-Cov-2 y gripe y a las recomendaciones médicas respectivamente. El 83,5% del grupo V respondió que el motivo de vacunarse en el 2021–2022 fue su adherencia a la vacunación. Conclusiones Los resultados muestran que la recomendación médica es la mejor herramienta para vacunar frente a la gripe a los trabajadores y hacerles adherentes a la misma. También, el miedo a la co-infección de COVID-19 y gripe fue una de las razones más frecuentes para vacunarse, sobre todo en NV.

Tracheostomy Patient Care Unit. An innovative Otorhinolaryngology solution of a transversal nature for the hospital.

BACKGROUND AND OBJECTIVE: The care of tracheostomized patients are high risk skills and low incidence. Strategies for improvement of health care in hospital wards and specialties other than otolaryngology based solely on training have not been able to offer an adequate solution. A tracheostomized patient unit is presented directed by the otolaryngology service to attend all tracheostomized hospitalised patients of all specialties. MATERIAL AND METHODS: Background: Third level public hospital with 876 hospitalisation beds and 30 ICU beds for 481,296 inhabitants. Unit model: Transversal unit for the hospital providing attention to all tracheostomized patients, adults, and children, of all specialties, with dedication of 50% of a ENT nurse of hospitalisation that moves to the hospitalisation bed of the specialty of each patient and 50% of another office ENT nurse for ambulatory patients care, with the consultancy of an ENT specialist and coordinated by the ENT supervisor. RESULTS: 572 patients between 2016 and 2021, 80% men, aged 63 ± 14 years, were attended in the Unit. 14.7 ± 2 tracheostomized patients daily and 96 ± 4 complication annual consultations were attended, rising up to 19 tracheostomized patients daily by 2020 and 141 ± 8.4 consultations by complications in 2020 and 2021, during the COVID-19 pandemic. The mean stay of the non-ENT specialties was reduced in 13 days, increasing the satisfaction of the ENT and non-ENT professionals and the satisfaction of the users. CONCLUSIONS: A Tracheostomized Patient Care Unit proactively directed from the Otorhinolaryngology Service to transversally care for all tracheostomized patients improves the quality of health care by reducing stay, complications, and emergencies. Improves the satisfaction of non-otolaryngological professionals by reducing the anxiety of facing care of patients who lack knowledge and experience and that of ENT specialists and nurses by reducing unplanned extemporaneous demands for care. Improves user satisfaction by perceiving adequate continuity of care. The Otorhinolaryngology Services provide their experience in the management of laryngectomized and tracheostomized patients and in teamwork with other specialists and professionals without the need to create new structures outside Otorhinolaryngology.

[Characterization of hospitalized patients with acute kidney injury associated with COVID-19 in Spain: Renal replacement therapy and mortality. FRA-COVID SEN Registry Data]. / Caracterización de la población con fracaso renal agudo durante la hospitalización por COVID-19 en España: tratamiento renal sustitutivo y mortalidad. Datos del Registro FRA-COVID SEN.

Background and objectives: Acute kidney injury (AKI) is common among hospitalized patients with COVID-19 and associated with worse prognosis. The Spanish Society of Nephrology created the AKI-COVID Registry to characterize the population admitted for COVID-19 that developed AKI in Spanish hospitals. The need of renal replacement therapy (RRT) therapeutic modalities, and mortality in these patients were assessed. Material and method: In a retrospective study, we analyzed data from the AKI-COVID Registry, which included patients hospitalized in 30 Spanish hospitals from May 2020 to November 2021. Clinical and demographic variables, factors related to the severity of COVID-19 and AKI, and survival data were recorded. A multivariate regression analysis was performed to study factors related to RRT and mortality. Results: Data from 730 patients were recorded. A total of 71.9% were men, with a mean age of 70 years (60-78), 70.1% were hypertensive, 32.9% diabetic, 33.3% with cardiovascular disease and 23.9% had some degree of chronic kidney disease (CKD). Pneumonia was diagnosed in 94.6%, requiring ventilatory support in 54.2% and admission to the ICU in 44.1% of cases.The median time from the onset of COVID-19 symptoms to the appearance of AKI (37.1% KDIGO I, 18.3% KDIGO II, 44.6% KDIGO III) was 6 days (4-10). A total of 235 (33.9%) patients required RRT: 155 patients with continuous renal replacement therapy, 89 alternate-day dialysis, 36 daily dialysis, 24 extended hemodialysis and 17 patients with hemodiafiltration. Smoking habit (OR 3.41), ventilatory support (OR 20.2), maximum creatinine value (OR 2.41) and time to AKI onset (OR 1.13) were predictors of the need for RRT; age was a protective factor (0.95). The group without RRT was characterized by older age, less severe AKI, shorter kidney injury onset and recovery time (p < 0.05). 38.6% of patients died during hospitalization; serious AKI and RRT were more frequent in the death group. In the multivariate analysis, age (OR 1.03), previous chronic kidney disease (OR 2.21), development of pneumonia (OR 2.89), ventilatory support (OR 3.34) and RRT (OR 2.28) were predictors of mortality while chronic treatment with ARBs was identified as a protective factor (OR 0.55). Conclusions: Patients with AKI during hospitalization for COVID-19 had a high mean age, comorbidities and severe infection. We defined two different clinical patterns: an AKI of early onset, in older patients that resolves in a few days without the need for RRT; and another more severe pattern, with greater need for RRT, and late onset, which was related to greater severity of the infectious disease. The severity of the infection, age and the presence of CKD prior to admission were identified as risk factors for mortality in these patients. In addition chronic treatment with ARBs was identified as a protective factor for mortality.

Prescribing Antibiotics in Public Primary Care Clinics in Singapore: A Retrospective Cohort Study.

BACKGROUND: Antibiotic prescription practices in primary care in Singapore have received little scholarly attention. In this study, we ascertained prescription prevalence and identified care gaps and predisposing factors. METHODS: A retrospective study was conducted on adults (>21 years old) at six public primary care clinics in Singapore. Prescriptions >14 days were excluded. Descriptive statistics were used to showcase the prevalence data. We used chi-square and logistic regression analyses to identify the factors affecting care gaps. RESULTS: A total of 141,944 (4.33%) oral and 108,357 (3.31%) topical antibiotics were prescribed for 3,278,562 visits from 2018 to 2021. There was a significant reduction in prescriptions (p < 0.01) before and after the pandemic, which was attributed to the 84% reduction in prescriptions for respiratory conditions. In 2020 to 2021, oral antibiotics were most prescribed for skin (37.7%), genitourinary (20.2%), and respiratory conditions (10.8%). Antibiotic use in the "Access" group (WHO AWaRe classification) improved from 85.6% (2018) to 92.1% (2021). Areas of improvement included a lack of documentation of reasons for antibiotic use, as well as inappropriate antibiotic prescription for skin conditions. CONCLUSION: There was a marked reduction in antibiotic prescriptions associated with the onset of the COVID-19 pandemic. Further studies could address the gaps identified here and evaluate private-sector primary care to inform antibiotic guidelines and the local development of stewardship programs.