COVID-19 Computed tomography patterns in renal replacement therapy patients / Padrões de tomografia computadorizada da COVID-19 em pacientes em terapia renal substitutiva

ABSTRACT Introduction: Lung diseases are common in patients with end stage kidney disease (ESKD), making differential diagnosis with COVID-19 a challenge. This study describes pulmonary chest tomography (CT) findings in hospitalized ESKD patients on renal replacement therapy (RRT) with clinical suspicion of COVID-19. Methods: ESKD individuals referred to emergency department older than 18 years with clinical suspicion of COVID-19 were recruited. Epidemiological baseline clinical information was extracted from electronic health records. Pulmonary CT was classified as typical, indeterminate, atypical or negative. We then compared the CT findings of positive and negative COVID-19 patients. Results: We recruited 109 patients (62.3% COVID-19-positive) between March and December 2020, mean age 60 ± 12.5 years, 43% female. The most common etiology of ESKD was diabetes. Median time on dialysis was 36 months, interquartile range = 12-84. The most common pulmonary lesion on CT was ground glass opacities. Typical CT pattern was more common in COVID-19 patients (40 (61%) vs 0 (0%) in non-COVID-19 patients, p < 0.001). Sensitivity was 60.61% (40/66) and specificity was 100% (40/40). Positive predictive value and negative predictive value were 100% and 62.3%, respectively. Atypical CT pattern was more frequent in COVID-19-negative patients (9 (14%) vs 24 (56%) in COVID-19-positive, p < 0.001), while the indeterminate pattern was similar in both groups (13 (20%) vs 6 (14%), p = 0.606), and negative pattern was more common in COVID-19-negative patients (4 (6%) vs 12 (28%), p = 0.002). Conclusions: In hospitalized ESKD patients on RRT, atypical chest CT pattern cannot adequately rule out the diagnosis of COVID-19.

RESUMO Introdução: Doenças pulmonares são comuns em pacientes com doença renal em estágio terminal (DRET), dificultando o diagnóstico diferencial com COVID-19. Este estudo descreve achados de tomografia computadorizada de tórax (TC) em pacientes com DRET em terapia renal substitutiva (TRS) hospitalizados com suspeita de COVID-19. Métodos: Indivíduos maiores de 18 anos com DRET, encaminhados ao pronto-socorro com suspeita de COVID-19 foram incluídos. Dados clínicos e epidemiológicos foram extraídos de registros eletrônicos de saúde. A TC foi classificada como típica, indeterminada, atípica, negativa. Comparamos achados tomográficos de pacientes com COVID-19 positivos e negativos. Resultados: Recrutamos 109 pacientes (62,3% COVID-19-positivos) entre março e dezembro de 2020, idade média de 60 ± 12,5 anos, 43% mulheres. A etiologia mais comum da DRET foi diabetes. Tempo médio em diálise foi 36 meses, intervalo interquartil = 12-84. A lesão pulmonar mais comum foi opacidades em vidro fosco. O padrão típico de TC foi mais comum em pacientes com COVID-19 (40 (61%) vs. 0 (0%) em pacientes sem COVID-19, p < 0,001). Sensibilidade 60,61% (40/66), especificidade 100% (40/40). Valores preditivos positivos e negativos foram 100% e 62,3%, respectivamente. Padrão atípico de TC foi mais frequente em pacientes COVID-19-negativos (9 (14%) vs. 24 (56%) em COVID-19-positivos, p < 0,001), enquanto padrão indeterminado foi semelhante em ambos os grupos (13 (20%) vs. 6 (14%), p = 0,606), e padrão negativo foi mais comum em pacientes COVID-19-negativos (4 (6%) vs. 12 (28%), p = 0,002). Conclusões: Em pacientes com DRET em TRS hospitalizados, um padrão atípico de TC de tórax não pode excluir adequadamente o diagnóstico de COVID-19.

Voice Disorder, Job Stress, and COVID-19 in Teachers: Impacts in Times of Pandemic

Introduction: The conditions of teachers' work during the COVID-19 pandemic affected teachers' lives regarding voice disorder and stress, even in emergency remote classroom situation. Objective: To analyze the relationship between the presence of voice disorder, job stress, and COVID-19 in teachers when in emergency remote classroom teaching situation at the time of the pandemic. Method: This is a primary, exploratory, observational cross-sectional study with the use of survey forwarded online during the period of emergency classes after the arrival of COVID-19 pandemic in Brazil. The teachers answered the sociodemographic questions about the presence of COVID-19 and the following instruments: Condition of Vocal Production-Teacher [Condição de Produção Vocal - Professor (CPV-P)], Screening Index for Voice Disorder (SIVD), and Job Stress Scale (JSS). Results: Of the 118 teachers analyzed, 94.1% were female; the average age was 44 years. The SIVD recorded the presence of voice disorder in 66.9% of the participants. Regarding the JSS, which are the findings related to stress at work in the demand domain, the teachers showed high levels, a fact which presupposes the existence of pressure of psychological nature to perform their work. Conclusion: The teachers self-reported the presence of voice disorder even in remote class situation, on the occasion of COVID-19, which were more common in older teachers. When comparing the presence of voice disorders, coronavirus symptoms, and stress domains in relation to demand, control, and social support, there was no significance. It is hoped that this study will help to reflect on the need to improve teachers' working conditions, strengthening work-related voice disorder actions and guiding actions for vocal care and well-being.

Introducción: Las condiciones de trabajo de los profesores durante la pandemia de COVID-19 afectaron sus vidas en lo que respecta al trastorno de la voz y el estrés, incluso en situaciones de emergencia en aulas remotas. Objetivo: Analizar la relación entre la presencia de trastorno de la voz, estrés laboral y COVID-19 en profesores cuando se encontraban en situación de emergencia de enseñanza en aulas remotas en la época de la pandemia. Método: Se trata de un estudio primario, exploratorio, observacional de tipo transversal, con el uso de encuesta remitida online durante el periodo de clases de emergencia tras la llegada de la pandemia de COVID-19 en Brasil. Los profesores respondieron a las preguntas sociodemográficas sobre la presencia de COVID-19 y a los siguientes instrumentos: Condición de Producción Vocal-Profesor (CPV-P), Índice de Detección de los Trastornos de la Voz (SIVD) y Escala de Estrés Laboral (JSS). Resultados: De los 118 profesores analizados, el 94,1% eran mujeres; la mediana de edad era de 44 años. El (SIVD) registró la presencia de trastorno de la voz en el 66,9% de los participantes. En cuanto a la JSS, que son los hallazgos relacionados con el estrés laboral en el dominio de la demanda, los profesores mostraron niveles elevados, hecho que presupone la existencia de presiones de naturaleza psicológica para realizar su trabajo. Conclusión: Los profesores autoinformaron de la presencia de trastornos de la voz incluso en situación de clase a distancia, con ocasión del COVID-19, que fueron más frecuentes en los profesores de más edad. Al comparar la presencia de trastornos de la voz, los síntomas del coronavirus y los dominios de estrés en relación con la demanda, el control y el apoyo social, no hubo resultados significativos. Se espera que este estudio ayude a reflexionar sobre la necesidad de mejorar las condiciones de trabajo de los docentes, fortaleciendo las acciones de Trastorno de la voz relacionado con el trabajo (WRVD) y orientando acciones para el cuidado y bienestar vocal.

Distonía laríngea post COVID-19: reporte de dos casos y posible explicación fisiopatogénica

La distonía laríngea (DL), también conocida como disfonía espasmódica, es un desorden focal tarea-específico del movimiento, que afecta primariamente la producción de la voz. Los movimientos distónicos de las cuerdas vocales producen fenómenos diferentes, especialmente quiebres o interrupciones vocales y tensión en el tipo de distonía laríngea aductora (DLAD), e interrupciones y soplo o segmentos áfonos en el tipo abductor (DLAB). Más del 80% de pacientes sufren de DLAD o DEAD (disfonía espasmódica aductora). Dos pacientes de sexo femenino desarrollaron DL un mes después de haber contraído una infección del tracto respiratorio superior causada por COVID-19. Ambas presentaron distonía laríngea de tipo aductor. En el análisis acústico de la vocal /a/ sostenida se han observado quiebres o interrupciones, cambios frecuenciales y aperiodicidad. El rango de habla fue estudiado en ambas pacientes mediante el fonetograma, dando un resultado alterado. Posiblemente la inflamación de los nervios periféricos de la laringe, causada por COVID-19, produjo una alteración sensitiva con una respuesta mal adaptativa en estas pacientes con una base genética quizás predisponente. O la activación inmunológica, o la invasión del germen a través de la vía retrógrada alteraron las redes neuronales involucradas en la génesis de la DL.

Laryngeal dystonia (LD), also known as spasmodic dysphonia, is a task-specific focal movement disorder, primarily affecting voice production. The dystonic movements of the vocal folds result in a varied phenomenology, typically hard vocal breaks and strain in the adductor-type laryngeal dystonia (ADLD), and breathy breaks or aphonia in the abductor-type laryngeal dystonia (ABLD). More than 80% of patients have suffered from ADLD. Two female patients developed LD a month after presenting an upper respiratory tract infection by COVID-19. They had the adductor-type laryngeal dystonia. Through the acoustic study of the vowel /a/ breaks, frequency changes and aperiodicity were observed. Speech was studied using the phonetogram, and the range of speech is altered in both patients. The inflammation of the peripheral nerves of the larynx by COVID-19 produced a sensory alteration, with a maladaptive response in these patients, who perhaps had predisposing genetic basis, or the immunological activation or the invasion of the germ by retrograde pathway altered the neuronal networks involved in the genesis of LD.

Risk factors for acute kidney injury in patients hospitalized with COVID-19 / Fatores de risco para lesão renal aguda em pacientes hospitalizados com COVID-19

Abstract Introduction: Acute kidney injury (AKI) occurs frequently in COVID-19 patients and is associated with greater morbidity and mortality. Knowing the risks of AKI allows for identification, prevention, and timely treatment. This study aimed to identify the risk factors associated with AKI in hospitalized patients. Methods: A descriptive, retrospective, cross-sectional, and analytical component study of adult patients hospitalized with COVID-19 from March 1 to December 31, 2020 was carried out. AKI was defined by the creatinine criteria of the KDIGO-AKI guidelines. Information, regarding risk factors, was obtained from electronic medical records. Results: Out of the 934 patients, 42.93% developed AKI, 60.59% KDIGO-1, and 9.9% required renal replacement therapy. Patients with AKI had longer hospital stay, higher mortality, and required more intensive care unit (ICU) admission, mechanical ventilation, and vasopressor support. Multivariate analysis showed that age (OR 1.03; 95% CI 1.02-1.04), male sex (OR 2.13; 95% CI 1.49-3.04), diabetes mellitus (DM) (OR 1.55; 95% CI 1.04-2.32), chronic kidney disease (CKD) (OR 2.07; 95% CI 1.06-4.04), C-reactive protein (CRP) (OR 1.02; 95% CI 1.00-1.03), ICU admission (OR 1.81; 95% CI 1.04-3.16), and vasopressor support (OR 7.46; 95% CI 3.34-16.64) were risk factors for AKI, and that bicarbonate (OR 0.89; 95% CI 0.84-0.94) and partial pressure arterial oxygen/inspired oxygen fraction index (OR 0.99; 95% CI 0.98-0.99) could be protective factors. Conclusions: A high frequency of AKI was documented in COVID-19 patients, with several predictors: age, male sex, DM, CKD, CRP, ICU admission, and vasopressor support. AKI occurred more frequently in patients with higher disease severity and was associated with higher mortality and worse outcomes.

RESUMO Introdução: Lesão renal aguda (LRA) ocorre frequentemente em pacientes com COVID-19 e associa-se a maior morbidade e mortalidade. Conhecer riscos da LRA permite a identificação, prevenção e tratamento oportuno. Este estudo teve como objetivo identificar fatores de risco associados à LRA em pacientes hospitalizados. Métodos: Realizou-se estudo descritivo, retrospectivo, transversal e de componente analítico de pacientes adultos hospitalizados com COVID-19 de 1º de março a 31 de dezembro, 2020. Definiu-se a LRA pelos critérios de creatinina das diretrizes KDIGO-LRA. Informações sobre fatores de risco foram obtidas de prontuários eletrônicos. Resultados: Dos 934 pacientes, 42,93% desenvolveram LRA, 60,59% KDIGO-1 e 9,9% necessitaram de terapia renal substitutiva. Pacientes com LRA apresentaram maior tempo de internação, maior mortalidade e necessitaram de mais internações em UTIs, ventilação mecânica e suporte vasopressor. A análise multivariada mostrou que idade (OR 1,03; IC 95% 1,02-1,04), sexo masculino (OR 2,13; IC 95% 1,49-3,04), diabetes mellitus (DM) (OR 1,55; IC 95% 1,04-2,32), doença renal crônica (DRC) (OR 2,07; IC 95% 1,06-4,04), proteína C reativa (PCR) (OR 1,02; IC 95% 1,00-1,03), admissão em UTI (OR 1,81; IC 95% 1,04-3,16) e suporte vasopressor (OR 7,46; IC 95% 3,34-16,64) foram fatores de risco para LRA, e que bicarbonato (OR 0,89; IC 95% 0,84-0,94) e índice de pressão parcial de oxigênio arterial/fração inspirada de oxigênio (OR 0,99; IC 95% 0,98-0,99) poderiam ser fatores de proteção. Conclusões: Documentou-se alta frequência de LRA em pacientes com COVID-19, com diversos preditores: idade, sexo masculino, DM, DRC, PCR, admissão em UTI e suporte vasopressor. LRA ocorreu mais frequentemente em pacientes com maior gravidade da doença e associou-se a maior mortalidade e piores desfechos.

Artificial Neural Network Prediction of COVID-19 Daily Infection Count.

This study addresses COVID-19 testing as a nonlinear sampling problem, aiming to uncover the dependence of the true infection count in the population on COVID-19 testing metrics such as testing volume and positivity rates. Employing an artificial neural network, we explore the relationship among daily confirmed case counts, testing data, population statistics, and the actual daily case count. The trained artificial neural network undergoes testing in in-sample, out-of-sample, and several hypothetical scenarios. A substantial focus of this paper lies in the estimation of the daily true case count, which serves as the output set of our training process. To achieve this, we implement a regularized backcasting technique that utilize death counts and the infection fatality ratio (IFR), as the death statistics and serological surveys (providing the IFR) as more reliable COVID-19 data sources. Addressing the impact of factors such as age distribution, vaccination, and emerging variants on the IFR time series is a pivotal aspect of our analysis. We expect our study to enhance our understanding of the genuine implications of the COVID-19 pandemic, subsequently benefiting mitigation strategies.

Compliance with World Health Organization COVID-19 preventive behaviors in rural counties in Western Kenya: a cross-sectional study.

Introduction: the World Health Organization (WHO) recommended various measures to tackle COVID-19, and were adopted by many governments, targeting behavior change among citizens to lower the transmission. There was a paucity of data on the patterns of compliance with different measures within individuals and whether people adhere to all recommended measures or cautiously prefer few but not others. Understanding compliance behaviors and associated factors is important for developing interventions to increase compliance. Methods: cross-sectional study was conducted among adults in the western region of Kenya. A sample of 806 participants was selected using a stratified sampling method. A structured questionnaire was used to gather data from the participants. Compliance was assessed with six behaviors: hand sanitation, proper hygiene, no handshaking, social distancing, and other guidelines. Latent analysis was used to identify behavioral patterns. Descriptive statistics were used to assess demographic characteristics, in terms of frequency distribution, and percentages. Multinomial logistic regression was used to assess the association between demographic characteristics and compliance level. Results: compliance was highest for masking (85.3%), and was lowest for social distancing (60.2%). The majority of participants were found to be full compliers (class 1: 40.5%), there was an increased probability of full compliance among those aged between 18-30 years (OR= 1.042; 95% CI: 0.307-13.052, p < 0.040) compared to those aged ≥70. Conclusion: using facemasks had the highest rate of compliance, followed by hand sanitization and proper hygiene. However, overall, the findings showed that while compliance with some protocol behaviors is high, individuals comply consistently across recommended compliance behaviors.

Assessing the influence of the COVID-19 pandemic on the incidence, clinical presentation, and clindamycin resistance rates of Streptococcus pyogenes infections.

Objectives: Streptococcus pyogenes (group A Streptococcus [GAS]) is a prevalent cause of community-acquired bacterial infections, with invasive GAS (iGAS) infections presenting severe morbimortality. Clindamycin is generally used based on its antitoxin effect. This study investigates changes in iGAS incidence, clinical presentation, outcomes, and clindamycin resistance in an adult cohort. Methods: This is a retrospective analysis of S. pyogenes episodes from a tertiary adult hospital in Barcelona (Spain) between 2015 and 2023. The pre-pandemic period includes data from 2015-2019. The pandemic period, from 2020-2021, and post-pandemic period comprised 2022 to the first semester of 2023. Results: The global incidence of GAS infections in the pre-pandemic and post-pandemic periods were 2.62 and 2.92 cases per 10.000 hospital admissions, whereas for iGAS cases, they were 1.85 and 2.34. However, a transient decrease was observed during the pandemic period: 1.07 and 0.78 per 10.000 hospital admissions. There was a significant decrease in GAS and iGAS infections during the pandemic period compared with the pre-pandemic incidence (P <0.001 for GAS infections and P = 0.001 for iGAS cases) and the post-pandemic incidence (P = 0.032 for GAS infections and P = 0.037 for iGAS cases). The most common source of infection was skin and soft tissue infections with 264 (54%) cases. Skin and soft tissue infections and cases of necrotizing fasciitis increased during the pandemic. Clindamycin resistance occurred in 13.5% of isolations during the pre-pandemic and 17.5% in post-pandemic period (P = 0.05). Conclusions: Our study revealed a temporary reduction in iGAS infections, followed by resurgence in the post-pandemic period. The observed rise in clindamycin resistance emphasizes the importance of monitoring local resistance patterns for tailored treatment.

Prevalence and factors for anxiety and depression among secondary school teachers from Sfax city of Tunisia in times of the coronavirus disease 2019 pandemic: a cross-sectional study.

Introduction: teachers have to adapt during the coronavirus disease 2019 (COVID-19) pandemic to many changes that could potentially make them more vulnerable to psychological distress. We aimed to assess anxiety and depression in Tunisian secondary school teachers during the COVID-19 pandemic and to explore their associated factors. Methods: we conducted a cross-sectional survey concerning Tunisian secondary school teachers between May 1st, 2021, and June 30th, 2021, using an online survey platform via Google Forms. Participants were asked to fill in a form including two psychometric tests: the General Anxiety Disorder 7 (GAD-7) and the Patient Health Questionnaire 9 (PHQ-9). We performed both univariable and multivariable logistic regression analyses. Results: a total of 170 secondary school teachers were included, of whom 22.4% (n=38) were males and 77.6% (n=132) were females. The median age was 45.5 years (Q1=39, Q3=49). The overall anxiety prevalence was 34.7% (n=59) while it was 41.7% (n=71) for depression. In multivariable analysis, anxiety was strongly associated with sleep disturbances (aOR: 5.1; 95% CI: 1.80-14.45; p=0.002) and depression (aOR: 33.91; 95% CI: 12.32-93.33; p<0.001) while depression was strongly associated with dissatisfaction with working conditions (aOR: 3.99; 95% CI: 1.49-10.65; p=0.006), the irregular wearing of protective masks (aOR: 3.94; 95% CI: 1.33-11.66; p=0.013) and anxiety (aOR=51.63; 95% CI: 17.74-150.25; p<0.001). Conclusion: secondary school teachers in Tunisia are characterized by a high rate of anxiety and depressive disorders which are related to personal and professional factors on which we can act by supplying of educational institutions by protective masks, the implementation of programs for adjusting working conditions and the practice of non-pharmacological interventions for insomnia management.

Mental Health of Frontline Nurses in India During COVID-19: A Multisite Study.

Background  The COVID-19 pandemic has been difficult for all healthcare providers. Nurses in Indian hospitals are at risk for mental health consequences of COVID-19-related stress. The study aimed to evaluate the mental health responses of Indian nurses working during the COVID-19 pandemic.  Method The study was carried out during the COVID-19 pandemic from November 2020 to February 2021. Frontline nurses (n=387) working in both government and private sectors were recruited from four hospital centers across Mangalore, India. Nurses were selected based on specific inclusion criteria, including active duty within wards and intensive care units designated for COVID-19 care or suspected cases of SARS-CoV-2 infection. Recruitment and data collection were facilitated by medical residents using a mix of physical and electronic survey methods. Results Nurses within the private sector with low personal protective equipment (PPE) security experienced heightened anxiety. Somatic symptoms were incrementally related to mental health depending on the workplace setting; private sector staff reported greater depression symptoms compared to those in government-run hospitals. Self-efficacy buffered against depression outcomes only in nurses within the private sector working within non-COVID units. Conclusions This study's findings showed differential responses to the stress of COVID-19 based on the setting. Future studies should further explore the factors associated with such differences. Somatic symptoms can be indicators of mental health adversity. Early detection and supportive interventions need to be taken into account.

COVID-19-Associated Cognitive Biases on Pneumonia Differential Diagnosis.

The coronavirus disease 2019 (COVID-19) pandemic favors cognitive biases such as anchoring and availability biases. The first refers to overvaluing some of the initial information and establishing a diagnosis too early, with resistance to future adjustments. The latter happens when diagnoses more frequently considered are regarded as more common in reality. This case, in which the correct diagnosis was delayed due to these biases, highlights the need to remain aware of them as a means toward timely diagnosis and therapeutic success of pneumonia cases. An 84-year-old woman presented with a mild non-productive cough for two months and fever. She had a history of breast carcinoma treated with radiotherapy in the previous year. Computerized tomography (CT) showed extensive bilateral consolidation foci with ground-glass-opacification areas and bilateral pleural effusion, CO-RADS 3. COVID-19 with bacterial superinfection was suspected and levofloxacin was initiated. Nasopharyngeal swab polymerase chain reaction (PCR) was carried out three times, always negative for SARS-CoV-2. As the patient remained with fever and cough, the antibiotic was escalated to piperacillin/tazobactam and then to meropenem/vancomycin. She underwent bronchofibroscopy and alveolar lavage, with negative SARS-CoV-2 PCR. The re-evaluation CT scan maintained bilateral consolidations, with an aerial bronchogram. The biopsy of pulmonary consolidation allowed the diagnosis of radiation-induced organizing pneumonia. Prednisolone was initiated and achieved clinical remission and radiological improvement. This case highlights the need to remain aware of cognitive biases both when COVID-19 is suspected or ruled out and to consider other diagnoses when there is a lack of therapeutic response.

The Impact of Long COVID on Cognitive Performance and Sleep Quality: An Analysis of the Rancagua Chilean Study (RACHIS).

Background Infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to prolonged symptoms post-recovery, commonly known as long-term coronavirus disease 2019 (COVID-19) or "long COVID." Neuropsychiatric consequences of long COVID include cognitive dysfunction and sleep disturbances, which significantly impair daily living. This study aimed to explore the impact of long COVID on cognitive performance and sleep quality in patients receiving outpatient care. Material and methods This study involved a random sample of 138 of 363 patients, corresponding to 38% of the cohort, who tested positive for SARS-CoV-2 via polymerase chain reaction (PCR) between May 2020 and April 2021. These unvaccinated, non-hospitalized individuals, predominantly exhibiting mild disease symptoms, were prospectively assessed 11 months post-positive PCR test. After informed consent, demographic data, memory, and concentration impairment levels were collected through interviews. Participants reporting cognitive symptoms underwent the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MOCA), and the Pittsburgh Sleep Quality Index. Statistical analyses were conducted, including Student's t-test, Chi-square, Fisher's test, Kruskal-Wallis test, and Pearson correlation coefficient, with a significance threshold set at p<0.05. Results Of the 138 participants, 76 (55.1%) were female and 62 (44.9%) were male. The mean age was 45.9 years (± 13.0), with an average educational attainment of 10.4 years (± 3.7). Roughly 50% of the patients reported significant memory and concentration issues (p<0.001). Thirty-three participants underwent detailed cognitive assessments, revealing a 2:1 female-to-male ratio and a significantly higher prevalence of depression in female participants. Cognitive deficits were diagnosed in five (15.2%) participants via the MMSE and in 26 (78.8%) via the MOCA test, with notable deficits in visuospatial/executive functions, language repeat, and deferred recall (p<0.001). A lower educational level was correlated with higher cognitive deficits (p=0.03). Conclusion The study findings reveal that cognitive impairments, as a consequence of COVID-19, can persist up to 11 months post-infection. The MOCA test proved more effective in diagnosing these deficits and requires adjustments based on educational background. Sleep parameters remained largely unaffected in this cohort, likely attributed to the mild nature of the initial symptoms and the outpatient management of the disease.

Mental Health Symptoms and Service Use in Depressed and Anxious Minors at the Onset of COVID-19 in a County Clinic Serving a Predominantly Hispanic Population.

OBJECTIVE: The study's primary aim was to compare the utilization rates of services by minors with depression/anxiety in a county mental health clinic before (from December 1, 2019, to March 15, 2020) and during the COVID-19 pandemic (from March 16 to June 30, 2020). The secondary aim was to study demographics and psychiatric symptomatology. METHODS: Service utilization rates were estimated. Univariate and multivariate logistic regression was used to identify significant predictors of worsening psychiatric symptoms, anxiety, and change in the frequency of therapy between the pre-COVID-19 period and the COVID-19 period. RESULTS: Service utilization rates increased during the pandemic period. During the pandemic, the presence of mood symptoms, suicidal ideation, and relationship conflicts predicted worsening psychiatric symptoms. In addition, the presence of preexisting sleep problems and physical health issues that continued during COVID-19 exhibited correlations with worsening psychiatric symptoms during COVID-19. COVID-related stressors and physical health issues were associated with anxiety; suicidal ideation predicted a change in the frequency of therapy. CONCLUSIONS:  Prospective studies to recognize risk factors for worsening mental health in minors with psychiatric illness during a crisis are warranted to identify and allocate services to the high-risk groups.

Bridging the Gaps: The Transformative Effect of Coronavirus Disease 2019 (COVID-19) on Preventive Measures Among Medical and Health Sciences College Students in Madinah, Saudi Arabia.

Background The global impact of coronavirus disease 2019 (COVID-19) has disrupted the activities of medical and health profession education institutions. This study aimed to determine the impact of COVID-19 on medical and health profession education students' knowledge, attitudes, and practices toward preventive measures and their commitment to precautionary measures before, during, and after the pandemic. Materials and methods A cross-sectional study was carried out from January to March 2023 using an online, structured, validated questionnaire survey to gather information from medical and health sciences students from three universities, encompassing five colleges in Madinah, Saudi Arabia. The minimum required sample size was estimated using the Epi Info software as 380. The data was analyzed using IBM SPSS Statistics for Windows, Version 20.0 (Released 2011; IBM Corp., Armonk, New York, United States). Statistical tests including Student's t-test, chi-squared test, and analysis of variance (ANOVA) test were applied. Results The findings revealed that personal experiences with COVID-19 infection had a significant impact on students' attitudes and commitment to preventive measures (p<0.05). Among the participants, 172 students (45%) reported having contracted COVID-19. Students with clinical exposure showed a higher level of understanding and adherence to preventive measures (248 students, 68%), compared to pre-clinical students (198 students, 52%) (p<0.05). Positive attitudes were observed toward practices such as sneezing etiquette (289 students, 76%) and flu vaccination (314 students, 83%) (p<0.05). However, negative attitudes were observed toward mask-wearing (155 students, 41%) and social distancing (144 students, 38%), particularly among male students (p<0.05). Conclusion The study provided valuable insights into the impact of the COVID-19 pandemic on medical and health sciences students' knowledge, attitudes, and practices toward preventive measures and the importance of introducing COVID-19 prevention measures in the pre-clinical phase as well as mental health support to promote positive attitudes and enhance adherence to preventive measures.

Efficacy and Safety of Oral and IV Levonadifloxacin Therapy in Management of Bacterial Infections: Findings of a Prospective, Observational, Multi-center, Post-marketing Surveillance Study.

Background Antimicrobial resistance by bacteria poses a substantial threat to morbidity and mortality worldwide, and treatment of resistant infections is a challenge for the treating clinician. Levonadifloxacin is a novel broad-spectrum agent belonging to the benzoquinolizine subclass of quinolone, which can be used by both oral and intravenous administration for the treatment of infections caused by gram-positive organisms, including methicillin-resistant Staphylococcus aureus (MRSA). Patients and methods This prescription event monitoring study captured data from 1266 patients receiving levonadifloxacin (oral and/or IV) in a real-world setting to assess the safety and efficacy in the treatment of various bacterial infections. The duration of the study was 18 months. Study outcomes were clinical success and microbial success at the end of therapy. Global assessments were done for safety and efficacy at the end of therapy using a 5-point Likert scale (excellent, very good, good, satisfactory, and poor). Results The mean (median) duration of therapy was 7.2 (7.0) days, with a median time to clinical improvement of four days. Oral therapy was administered to 224 patients; 940 received IV, and 102 received IV followed by oral therapy. Patients were prescribed levonadifloxacin for gram-positive infections, skin and soft tissue infections, diabetic foot infections, septicemia, catheter-related blood-stream infections, bone and joint infections, febrile neutropenia, and respiratory infections, including COVID-19 pneumonia. The clinical cure on the eighth day was 95.7%, whereas the microbial success on the eighth day was 93.3% (n=60). For different types of infections, the clinical success rates ranged from 85.2% to 100%. There were only 30 treatment-emergent adverse events reported in 29 patients. Overall, about 95.6% of patients rated the efficacy as good to excellent, whereas only 3.8% of patients rated it satisfactory; for safety, 95.7% of patients rated it as good to excellent, with only 3.9% of patients rated it as satisfactory. Conclusions The excellent safety and efficacy profile of levonadifloxacin, when administered as an oral or intravenous therapy, makes it a desirable treatment modality for the management of various bacterial infections, including those caused by resistant pathogens such as MRSA and quinolone-resistant Staphylococcus aureus (QRSA). Features of levonadifloxacin, such as availability in both IV and oral form, minimal drug-drug interactions, lack of the need to adjust dosages in renal and hepatically impaired patients along with a broad spectrum of coverage, make it a suitable agent that meets several unmet clinical needs of physicians.

Baseline findings of a multicentric ambispective cohort study (2021-2022) among hospitalised mucormycosis patients in India.

In India, the incidence of mucormycosis reached high levels during 2021-2022, coinciding with the COVID-19 pandemic. In response to this, we established a multicentric ambispective cohort of patients hospitalised with mucormycosis across India. In this paper, we report their baseline profile, clinical characteristics and outcomes at discharge. Patients hospitalized for mucormycosis during March-July 2021 were included. Mucormycosis was diagnosed based on mycological confirmation on direct microscopy (KOH/Calcofluor white stain), culture, histopathology, or supportive evidence from endoscopy or imaging. After consent, trained data collectors used medical records and telephonic interviews to capture data in a pre-tested structured questionnaire. At baseline, we recruited 686 patients from 26 study hospitals, of whom 72.3% were males, 78% had a prior history of diabetes, 53.2% had a history of corticosteroid treatment, and 80% were associated with COVID-19. Pain, numbness or swelling of the face were the commonest symptoms (73.3%). Liposomal Amphotericin B was the commonest drug formulation used (67.1%), and endoscopic sinus surgery was the most common surgical procedure (73.6%). At discharge, the disease was stable in 43.3%, in regression for 29.9% but 9.6% died during hospitalization. Among survivors, commonly reported disabilities included facial disfigurement (18.4%) and difficulties in chewing/swallowing (17.8%). Though the risk of mortality was only 1 in 10, the disability due to the disease was very high. This cohort study could enhance our understanding of the disease's clinical progression and help frame standard treatment guidelines.

COVID-19 prophylaxis, diagnostics, and treatment in patients with rheumatic diseases. The Polish experts panel opinion.

As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolves, infection management in vulnerable populations requires formalized guidance. Although low-virulence variants of SARS-CoV-2 remain predominant, they pose an increased risk of severe illness in adults with rheumatic and musculoskeletal diseases (RMDs). Several disease-specific (chronic long-grade inflammation, concomitant immunosuppression) and individual (advanced age, multimorbidity, pregnancy, vaccination status) factors contribute to excess risk in RMD populations. Various post-COVID-19 manifestations are also increasingly reported and appear more commonly than in the general population. At a pathogenetic level, complex interplay involving innate and acquired immune dysregulation, viral persistence, and genetic predisposition shapes a unique susceptibility profile. Moreover, incident cases of SARS-CoV-2 infection as a trigger factor for the development of autoimmune conditions have been reported. Vaccination remains a key preventive strategy, and encouraging active education and awareness will be crucial for rheumatologists in the upcoming years. In patients with RMDs, COVID-19 vaccines' benefits outweigh the risks. Derivation of specialized diagnostic and therapeutic protocols within a comprehensive COVID-19 care plan represents an ideal scenario for healthcare system organization. Vigilance for symptoms of infection and rapid diagnosis are key for introducing antiviral treatment in patients with RMDs in a timely manner. This review provides updated guidance on optimal immunization, diagnosis, and antiviral treatment strategies.

Autoimmune rheumatic diseases and COVID-19 vaccination: a retrospective cross-sectional study from Astana.

Introduction: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has had an unprecedented impact on people around the world, particularly those who were suffering from autoimmune rheumatic diseases (AIRDs). The world community acknowledges the significance of COVID-19 vaccination in patients with autoimmune disorders and emphasizes the priority of this category to receive vaccination over the general population. Although many studies have been published since the first phases of vaccination all over the world, multiple related factors still need to be further investigated. Material and methods: We investigated the COVID-19 vaccination status in patients with AIRDs, by performing a cross-sectional, interview-based study filled in by patients attending their clinics in the Astana city, capital of Kazakhstan, from April to July 2023. The survey questionnaire consisted of a set of questions, concerning patient characteristics, treatment details, accepted vaccines and characteristics of COVID-19 infection. The study objectives were to evaluate vaccine hesitancy, adverse effects, breakthrough infections and flare of underlying rheumatic disease in this population subgroup. Results: There were 193 participants, with a median age of 50.3 ±12.9 years. Among them, 62 (32.1%) were vaccinated with at least single dose of vaccine, 16 (25.8%) of whom were fully vaccinated. The commonest (89; 68%) reason for vaccine hesitancy was a fear of autoimmune disease worsening. Vaccine-related adverse effects (AEs) were reported by 66.7% of patients. We found that vaccination provoked AIRD exacerbation in 19% of patients with AEs. Eight patients reported flare of pre-existing rheumatic disease after vaccination. The incidence of breakthrough infections was similar in the groups of vaccinated individuals (n = 12), 12.9% of whom were partially and 6.5% fully vaccinated. Conclusions: The vaccination was found to be safe in patients with rheumatic diseases. Fear of autoimmune status was the major reason for vaccine reluctance. All reported adverse events were minor. The minority subgroup within the sample had subsequent breakthrough infections or autoimmune disease flare-ups.

Impact of infectious density-induced additional screening and treatment saturation on COVID-19: Modeling and cost-effective optimal control.

This study introduces a novel SI2HR model, where "I2" denotes two infectious classes representing asymptomatic and symptomatic infections, aiming to investigate and analyze the cost-effective optimal control measures for managing COVID-19. The model incorporates a novel concept of infectious density-induced additional screening (IDIAS) and accounts for treatment saturation. Furthermore, the model considers the possibility of reinfection and the loss of immunity in individuals who have previously recovered. To validate and calibrate the proposed model, real data from November-December 2022 in Hong Kong are utilized. The estimated parameters obtained from this calibration process are valuable for prediction purposes and facilitate further numerical simulations. An analysis of the model reveals that delays in screening, treatment, and quarantine contribute to an increase in the basic reproduction number R0, indicating a tendency towards endemicity. In particular, from the elasticity of R0, we deduce that normalized sensitivity indices of baseline screening rate (θ), quarantine rates (γ, αs), and treatment rate (α) are negative, which shows that delaying any of these may cause huge surge in R0, ultimately increases the disease burden. Further, by the contour plots, we note the two-parameter behavior of the infectives (both symptomatic and asymptomatic). Expanding upon the model analysis, an optimal control problem (OCP) is formulated, incorporating three control measures: precautionary interventions, boosted IDIAS, and boosted treatment. The Pontryagin's maximum principle and the forward-backward sweep method are employed to solve the OCP. The numerical simulations highlight that enhanced screening and treatment, coupled with preventive interventions, can effectively contribute to sustainable disease control. However, the cost-effectiveness analysis (CEA) conducted in this study suggests that boosting IDIAS alone is the most economically efficient and cost-effective approach compared to other strategies. The CEA results provide valuable insights into identifying specific strategies based on their cost-efficacy ranking, which can be implemented to maximize impact while minimizing costs. Overall, this research offers significant insights for policymakers and healthcare professionals, providing a framework to optimize control efforts for COVID-19 or similar epidemics in the future.

SARS-CoV-2 mutant spectra as variant of concern nurseries: endless variation?

Introduction: SARS-CoV-2 isolates of a given clade may contain low frequency genomes that encode amino acids or deletions which are typical of a different clade. Methods: Here we use high resolution ultra-deep sequencing to analyze SARS-CoV-2 mutant spectra. Results: In 6 out of 11 SARS-CoV-2 isolates from COVID-19 patients, the mutant spectrum of the spike (S)-coding region included two or more amino acids or deletions, that correspond to discordant viral clades. A similar observation is reported for laboratory populations of SARS-CoV-2 USA-WA1/2020, following a cell culture infection in the presence of remdesivir, ribavirin or their combinations. Moreover, some of the clade-discordant genome residues are found in the same haplotype within an amplicon. Discussion: We evaluate possible interpretations of these findings, and reviewed precedents for rapid selection of genomes with multiple mutations in RNA viruses. These considerations suggest that intra-host evolution may be sufficient to generate minority sequences which are closely related to sequences typical of other clades. The results provide a model for the origin of variants of concern during epidemic spread─in particular Omicron lineages─that does not require prolonged infection, involvement of immunocompromised individuals, or participation of intermediate, non-human hosts.

Causes and Effects of COVID-19 Vaccine Hesitancy Among Pregnant Women and its Association with Adverse Maternal, Placental, and Perinatal Outcomes.

Populations identified to be severely affected by COVID-19, such as pregnant patients, require special consideration in vaccine counseling, access, and provider education. Maternal infection with COVID-19 poses a significant risk to the maternal-fetal dyad with known adverse placenta destruction [1-5]. Despite the widespread access and availability of vaccinations, vaccine hesitancy continues to persist and is highly prevalent in pregnant populations [6-9]. Addressing the multitude of social ecological factors surrounding vaccine hesitancy can aid in providing holistic counseling [10]. However, such factors are foremost shaped by maternal concern over possible fetal effects from vaccination. While changes in policy can help foster vaccine access and acceptance, increasing global provider education and incorporation of motivational interviewing skills are the first steps towards increasing maternal acceptance.