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Item Acute Kidney Injury Interacts With Coma, Acidosis, and Impaired Perfusion to Significantly Increase Risk of Death in Children With Severe Malaria(Oxford University Press, 2022) Namazzi, Ruth; Opoka, Robert; Datta, Dibyadyuti; Bangirana, Paul; Batte, Anthony; Berrens, Zachary; Goings, Michael J.; Schwaderer, Andrew L.; Conroy, Andrea L.; John, Chandy C.; Pediatrics, School of MedicineBackground: Mortality in severe malaria remains high in children treated with intravenous artesunate. Acute kidney injury (AKI) is a common complication of severe malaria, but the interactions between AKI and other complications on the risk of mortality in severe malaria are not well characterized. Methods: Between 2014 and 2017, 600 children aged 6-48 months to 4 years hospitalized with severe malaria were enrolled in a prospective clinical cohort study evaluating clinical predictors of mortality in children with severe malaria. Results: The mean age of children in this cohort was 2.1 years (standard deviation, 0.9 years) and 338 children (56.3%) were male. Mortality was 7.3%, and 52.3% of deaths occurred within 12 hours of admission. Coma, acidosis, impaired perfusion, AKI, elevated blood urea nitrogen (BUN), and hyperkalemia were associated with increased mortality (all P < .001). AKI interacted with each risk factor to increase mortality (P < .001 for interaction). Children with clinical indications for dialysis (14.4% of all children) had an increased risk of death compared with those with no indications for dialysis (odds ratio, 6.56; 95% confidence interval, 3.41-12.59). Conclusions: AKI interacts with coma, acidosis, or impaired perfusion to significantly increase the risk of death in severe malaria. Among children with AKI, those who have hyperkalemia or elevated BUN have a higher risk of death. A better understanding of the causes of these complications of severe malaria, and development and implementation of measures to prevent and treat them, such as dialysis, are needed to reduce mortality in severe malaria.Item Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium(Alzheimer’s Association, 2022-09-22) de Erausquin, Gabriel A.; Snyder, Heather; Brugha, Traolach S.; Seshadri, Sudha; Carrillo, Maria; Sagar, Rajesh; Huang, Yueqin; Newton, Charles; Tartaglia, Carmela; Teunissen, Charlotte; Håkanson, Krister; Akinyemi, Rufus; Prasad, Kameshwar; D'Avossa, Giovanni; Gonzalez-Aleman, Gabriela; Hosseini, Akram; Vavougios, George D.; Sachdev, Perminder; Bankart, John; Ole Mors, Niels Peter; Lipton, Richard; Katz, Mindy; Fox, Peter T.; Katshu, Mohammad Zia; Iyengar, M. Sriram; Weinstein, Galit; Sohrabi, Hamid R.; Jenkins, Rachel; Stein, Dan J.; Hugon, Jacques; Mavreas, Venetsanos; Blangero, John; Cruchaga, Carlos; Krishna, Murali; Wadoo, Ovais; Becerra, Rodrigo; Zwir, Igor; Longstreth, William T.; Kroenenberg, Golo; Edison, Paul; Mukaetova-Ladinska, Elizabeta; Staufenberg, Ekkehart; Figueredo-Aguiar, Mariana; Yécora, Agustín; Vaca, Fabiana; Zamponi, Hernan P.; Lo Re, Vincenzina; Majid, Abdul; Sundarakumar, Jonas; Gonzalez, Hector M.; Geerlings, Mirjam I.; Skoog, Ingmar; Salmoiraghi, Alberto; Boneschi, Filippo Martinelli; Patel, Vibuthi N.; Santos, Juan M.; Arroyo, Guillermo Rivera; Moreno, Antonio Caballero; Felix, Pascal; Gallo, Carla; Arai, Hidenori; Yamada, Masahito; Iwatsubo, Takeshi; Sharma, Malveeka; Chakraborty, Nandini; Ferreccio, Catterina; Akena, Dickens; Brayne, Carol; Maestre, Gladys; Williams Blangero, Sarah; Brusco, Luis I.; Siddarth, Prabha; Hughes, Timothy M.; Ramírez Zuñiga, Alfredo; Kambeitz, Joseph; Laza, Agustin Ruiz; Allen, Norrina; Panos, Stella; Merrill, David; Ibáñez, Agustín; Tsuang, Debby; Valishvili, Nino; Shrestha, Srishti; Wang, Sophia; Padma, Vasantha; Anstey, Kaarin J.; Ravindrdanath, Vijayalakshmi; Blennow, Kaj; Mullins, Paul; Łojek, Emilia; Pria, Anand; Mosley, Thomas H.; Gowland, Penny; Girard, Timothy D.; Bowtell, Richard; Vahidy, Farhaan S.; Psychiatry, School of MedicineIntroduction: Coronavirus disease 2019 (COVID-19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID-19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID-19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID-19 to neurologic illness, both short and long term. Methods: This article describes what is known so far in terms of links among COVID-19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS-CoV-2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions. Results: Successful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe. Discussion: The Alzheimer's Association Global Consortium harmonized methodology is proposed as a model to study long-term neurocognitive sequelae of SARS-CoV-2 infection. Key points: The following review describes what is known so far in terms of molecular and epidemiological links among COVID-19, the brain, neurological symptoms, and AD and related dementias (ADRD)The primary objective of this large-scale collaboration is to clarify the pathogenesis of ADRD and to advance our understanding of the impact of a neurotropic virus on the long-term risk of cognitive decline and other CNS sequelae. No available evidence supports the notion that cognitive impairment after SARS-CoV-2 infection is a form of dementia (ADRD or otherwise). The longitudinal methodologies espoused by the consortium are intended to provide data to answer this question as clearly as possible controlling for possible confounders. Our specific hypothesis is that SARS-CoV-2 triggers ADRD-like pathology following the extended olfactory cortical network (EOCN) in older individuals with specific genetic susceptibility. The proposed harmonization strategies and flexible study designs offer the possibility to include large samples of under-represented racial and ethnic groups, creating a rich set of harmonized cohorts for future studies of the pathophysiology, determinants, long-term consequences, and trends in cognitive aging, ADRD, and vascular disease. We provide a framework for current and future studies to be carried out within the Consortium. and offers a "green paper" to the research community with a very broad, global base of support, on tools suitable for low- and middle-income countries aimed to compare and combine future longitudinal data on the topic. The Consortium proposes a combination of design and statistical methods as a means of approaching causal inference of the COVID-19 neuropsychiatric sequelae. We expect that deep phenotyping of neuropsychiatric sequelae may provide a series of candidate syndromes with phenomenological and biological characterization that can be further explored. By generating high-quality harmonized data across sites we aim to capture both descriptive and, where possible, causal associations.Item Clinical Predictors of Functional Cure in Children 1–6 Years-old with Chronic Hepatitis B(Xia & He, 2022) Pan, Jing; Wang, Haiyan; Yao, Tiantian; Liao, Xuejiao; Cheng, Hao; Liangpunsakul, Suthat; Wang, Yan; Zhang, Min; Zhang, Zheng; Medicine, School of MedicineBackground and aims: Hepatitis B surface antigen (HBsAg) clearance is significantly more common in children with chronic hepatitis B (CHB) than in adults; however, the possible influencing factors related to HBsAg loss have yet to be found. This study aimed to explore the efficacy of long-term interferon (IFN)α therapy in treating children with CHB and analyzed the factors influencing functional cure after treatment. Methods: A total of 236 children aged 1-6 years and diagnosed with CHB via liver biopsy were included in the study, all receiving IFNα treatment (IFNα-2b monotherapy, IFNα-2b followed by lamivudine [LAM] or IFNα-2b combined with LAM) and followed up for 144 weeks. A comprehensive analysis was conducted on clinical data, including biochemical items, serum markers of hepatitis B virus (HBV) and immunological indexes, and logistic regression analysis was used to screen the influencing factors related to HBsAg loss. Results: The cumulative loss rates of HBsAg were 79.5%, 62.1% and 42.1% at 144 weeks after the start of treatment in the 1-3 years-old group, 3-5 years-old group and 5-7 years-old group, respectively (p<0.05). IFNα-2b combined with LAM treatment displayed the highest HBsAg loss rates compared with monotherapy and sequential treatment (p=0.011). Younger baseline age and lower HBsAg levels were independent factors for the prediction of HBsAg loss (p<0.05). The baseline PreS1 and hepatitis B core antibody levels in the HBsAg loss group were lower than those in the HBsAg non-loss group. In addition, the PreS1 level was positively corelated with the level of HBsAg, HBV DNA and liver inflammation. Conclusions: Long-term treatment with IFNα was effective in achieving HBsAg loss in CHB children aged 1-6 years-old. Age less than 3 years-old and lower HBsAg levels are independent predictors of functional cure in children with CHB.Item Common Predictors for Explaining Youth Antisocial Behavior: A Perspective From Ten Longitudinal Studies(2010) Gentle-Genitty, CarolynFor centuries humans have and continue to interact to bring change and homeostasis in their lives. Their interaction centers among roles played within the human developmental stages from toddler to preadolescent, to adolescent, to young adult, and thereafter to adulthood. Often the changes that occur take attitudinal, behavioral, and/or relational forms. These are often examined in research, using cross-section, prospective, or retrospective longitudinal study designs. Longitudinal research has enabled researchers to describe the emergence of violence in terms of two (and possibly more) life-course trajectories. In the early-onset trajectory, this is before puberty, and in the late-onset trajectory occurring after puberty. These two trajectories offer insights into the likely course, severity, and duration of antisocial behavior over the life span. They also have practical implications for the timing of intervention programs and strategies. These trajectories along with the results from longitudinal studies have generated causal relationships between early antisocial behavior and increases in crime and violence. This article conducts a brief, yet critical, evaluation of ten popular longitudinal studies to explain what factors can predict youth antisocial behaviors. It briefly presents a discussion on the study of antisocial behavior in the last five decades, a review of how antisocial behavior and factors relating to it have been studied, and findings on each of the ten longitudinal studies. It then discusses the common predictors found after pooling together similar factors found in each study, followed by recommendations for future study and use.Item Consumer factors predicting level of treatment response to illness management and recovery(American Psychological Association, 2017-12) White, Dominique A.; McGuire, Alan B.; Roudebush, Richard L.; Luther, Lauren; Anderson, Adrienne; Phalen, Peter; McGrew, John H.; Psychology, School of ScienceOBJECTIVE: This study aims to identify consumer-level predictors of level of treatment response to illness management and recovery (IMR) to target the appropriate consumers and aid psychiatric rehabilitation settings in developing intervention adaptations. METHOD: Secondary analyses from a multisite study of IMR were conducted. Self-report data from consumer participants of the parent study (n = 236) were analyzed for the current study. Consumers completed prepost surveys assessing illness management, coping, goal-related hope, social support, medication adherence, and working alliance. Correlations and multiple regression analyses were run to identify self-report variables that predicted level of treatment response to IMR. RESULTS: Analyses revealed that goal-related hope significantly predicted level of improved illness self-management, F(1, 164) = 10.93, p < .001, R2 = .248, R2 change = .05. Additionally, we found that higher levels of maladaptive coping at baseline were predictive of higher levels of adaptive coping at follow-up, F(2, 180) = 5.29, p < .02, R2 = .38, R2 change = .02. Evidence did not support additional predictors. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Previously, consumer-level predictors of level of treatment response have not been explored for IMR. Although 2 significant predictors were identified, study findings suggest more work is needed. Future research is needed to identify additional consumer-level factors predictive of IMR treatment response in order to identify who would benefit most from this treatment program. (PsycINFO Database RecordItem Incidence and risk factors of oral feeding intolerance in acute pancreatitis: Results from an international, multicenter, prospective cohort study(Wiley, 2021-02) Pothoulakis, Ioannis; Nawaz, Haq; Paragomi, Pedram; Jeong, Kwonho; Talukdar, Rupjyoti; Kochhar, Rakesh; Goenka, Mahesh Kumar; Gulla, Aiste; Singh, Vikesh K.; Gonzalez, Jose A.; Ferreira, Miguel; Barbu, Sorin T.; Stevens, Tyler; Gutierrez, Silvia C.; Zarnescu, Narcis O.; Capurso, Gabriele; Easler, Jeffrey; Triantafyllou, Konstantinos; Pelaez-Luna, Mario; Thakkar, Shyam; Ocampo, Carlos; de-Madaria, Enrique; Wu, Bechien U.; Cote, Gregory A.; Abebe, Kaleab; Tang, Gong; Lahooti, Ali; Phillips, Anna E.; Papachristou, Georgios I.; Medicine, School of MedicineBackground: Inability to advance to an oral diet, or oral feeding intolerance, is a common complication in patients with acute pancreatitis associated with worse clinical outcomes. The factors related to oral feeding intolerance are not well studied. Objective: We aimed to determine the incidence and risk factors of oral feeding intolerance in acute pancreatitis. Methods: Patients were prospectively enrolled in the Acute Pancreatitis Patient Registry to Examine Novel Therapies in Clinical Experience, an international acute pancreatitis registry, between 2015 and 2018. Oral feeding intolerance was defined as worsening abdominal pain and/or vomiting after resumption of oral diet. The timing of the initial feeding attempt was stratified based on the day of hospitalization. Multivariable logistic regression was performed to assess for independent risk factors/predictors of oral feeding intolerance. Results: Of 1233 acute pancreatitis patients included in the study, 160 (13%) experienced oral feeding intolerance. The incidence of oral feeding intolerance was similar irrespective of the timing of the initial feeding attempt relative to hospital admission day (p = 0.41). Patients with oral feeding intolerance were more likely to be younger (45 vs. 50 years of age), men (61% vs. 49%), and active alcohol users (44% vs. 36%). They also had higher blood urea nitrogen (20 vs. 15 mg/dl; p < 0.001) and hematocrit levels (41.7% vs. 40.5%; p = 0.017) on admission; were more likely to have a nonbiliary acute pancreatitis etiology (69% vs. 51%), systemic inflammatory response syndrome of 2 or greater on admission (49% vs. 35%) and at 48 h (50% vs. 26%), develop pancreatic necrosis (29% vs. 13%), moderate to severe acute pancreatitis (41% vs. 24%), and have a longer hospital stay (10 vs. 6 days; all p < 0.04). The adjusted analysis showed that systemic inflammatory response syndrome of 2 or greater at 48 h (odds ratio 3.10; 95% confidence interval 1.83-5.25) and a nonbiliary acute pancreatitis etiology (odds ratio 1.65; 95% confidence interval 1.01-2.69) were independent risk factors for oral feeding intolerance. Conclusion: Oral feeding intolerance occurs in 13% of acute pancreatitis patients and is independently associated with systemic inflammatory response syndrome at 48 h and a nonbiliary etiology.Item Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU(Elsevier, 2022) Elhazmi, Alyaa; Al-Omari, Awad; Sallam, Hend; Mufti, Hani N.; Rabie, Ahmed A.; Alshahrani, Mohammed; Mady, Ahmed; Alghamdi, Adnan; Altalaq, Ali; Azzam, Mohamed H.; Sindi, Anees; Kharaba, Ayman; Al-Aseri, Zohair A.; Almekhlafi, Ghaleb A.; Tashkandi, Wail; Alajmi, Saud A.; Faqihi, Fahad; Alharthy, Abdulrahman; Al-Tawfiq, Jaffar A.; Melibari, Rami Ghazi; Al-Hazzani, Waleed; Arabi, Yaseen M.; Medicine, School of MedicineBackground: Coronavirus disease-19 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently a major cause of intensive care unit (ICU) admissions globally. The role of machine learning in the ICU is evolving but currently limited to diagnostic and prognostic values. A decision tree (DT) algorithm is a simple and intuitive machine learning method that provides sequential nonlinear analysis of variables. It is simple and might be a valuable tool for bedside physicians during COVID-19 to predict ICU outcomes and help in critical decision-making like end-of-life decisions and bed allocation in the event of limited ICU bed capacities. Herein, we utilized a machine learning DT algorithm to describe the association of a predefined set of variables and 28-day ICU outcome in adult COVID-19 patients admitted to the ICU. We highlight the value of utilizing a machine learning DT algorithm in the ICU at the time of a COVID-19 pandemic. Methods: This was a prospective and multicenter cohort study involving 14 hospitals in Saudi Arabia. We included critically ill COVID-19 patients admitted to the ICU between March 1, 2020, and October 31, 2020. The predictors of 28-day ICU mortality were identified using two predictive models: conventional logistic regression and DT analyses. Results: There were 1468 critically ill COVID-19 patients included in the study. The 28-day ICU mortality was 540 (36.8 %), and the 90-day mortality was 600 (40.9 %). The DT algorithm identified five variables that were integrated into the algorithm to predict 28-day ICU outcomes: need for intubation, need for vasopressors, age, gender, and PaO2/FiO2 ratio. Conclusion: DT is a simple tool that might be utilized in the ICU to identify critically ill COVID-19 patients who are at high risk of 28-day ICU mortality. However, further studies and external validation are still required.Item Predictors of Plasmodium falciparum Infection in the First Trimester Among Nulliparous Women From Kenya, Zambia, and the Democratic Republic of the Congo(Oxford University Press, 2022) Leuba, Sequoia I.; Westreich, Daniel; Bose, Carl L.; Powers, Kimberly A.; Olshan, Andy; Taylor, Steve M.; Tshefu, Antoinette; Lokangaka, Adrien; Carlo, Waldemar A.; Chomba, Elwyn; Liechty, Edward A.; Bucher, Sherri L.; Esamai, Fabian; Jessani, Saleem; Saleem, Sarah; Goldenberg, Robert L.; Moore, Janet; Nolen, Tracy; Hemingway-Foday, Jennifer; McClure, Elizabeth M.; Koso-Thomas, Marion; Derman, Richard J.; Hoffman, Matthew; Bauserman, Melissa; Pediatrics, School of MedicineBackground: Malaria can have deleterious effects early in pregnancy, during placentation. However, malaria testing and treatment are rarely initiated until the second trimester, leaving pregnancies unprotected in the first trimester. To inform potential early intervention approaches, we sought to identify clinical and demographic predictors of first-trimester malaria. Methods: We prospectively recruited women from sites in the Democratic Republic of the Congo (DRC), Kenya, and Zambia who participated in the ASPIRIN (Aspirin Supplementation for Pregnancy Indicated risk Reduction In Nulliparas) trial. Nulliparous women were tested for first-trimester Plasmodium falciparum infection by quantitative polymerase chain reaction. We evaluated predictors using descriptive statistics. Results: First-trimester malaria prevalence among 1513 nulliparous pregnant women was 6.3% (95% confidence interval [CI], 3.7%-8.8%] in the Zambian site, 37.8% (95% CI, 34.2%-41.5%) in the Kenyan site, and 62.9% (95% CI, 58.6%-67.2%) in the DRC site. First-trimester malaria was associated with shorter height and younger age in Kenyan women in site-stratified analyses, and with lower educational attainment in analyses combining all 3 sites. No other predictors were identified. Conclusions: First-trimester malaria prevalence varied by study site in sub-Saharan Africa. The absence of consistent predictors suggests that routine parasite screening in early pregnancy may be needed to mitigate first-trimester malaria in high-prevalence settings.Item Predictors of Second-Language Reading Performance(Publisher of original article: Multilingual Matters & Channel View Publications [BREAK][LINK]http://www.multilingual-matters.com/[/LINK][BREAK] Access to the original article may require subscription and authorized logon ID/password. IUPUI faculty/staff/students please check University Library resources before purchasing an article. Questions on finding the original article via our databases? Ask a librarian: [LINK]http://www.ulib.iupui.edu/research/askalibrarian[/LINK]., 1983) Connor, Ulla, 1948-This study identified individual, instructional and socio-cultural factors that are reliable predictors of limited-English-proficiency (LEP) children's reading performance in English. The reading comprehension section of the Metropolitan Achievement Test was used to assess the reading skills of 91 LEP students (K-12) with different linguistic backgrounds in the U.S. school system. Information about the independent variables was gathered from a special questionnaire. The data were analysed by means of multiple regression analysis. The results of regression analysis showed that in this sample, grade, Vietnamese language background, percentage of English spoken at home, higher level paternal occupation, and a relatively high number of students in the English-as-a-second-language class had positive effects on the reading skills of the subjects. With these data it was impossible to separate the impact of length of U.S. residence from the length of ESL instruction in U.S. Intensity of ESL instruction showed a statistically significant negative effect on the reading scores. There were several predictors which did not have a significant effect on reading performance: gender, number of siblings and sibling position, hours of television watching, number of public library visits, length parents' stay in the U.S., parents' levels of education and social status, and mother's staying at home. A central theme of this study is that single-variate approaches are inadequate to study the causes of reading performance; rather, several predictors should be employed to measure true relationships between L2 reading performance and independent predictors.Item Side effects of messenger RNA vaccines and prior history of COVID-19, a cross-sectional study(Elsevier, 2022-01) Kadali, Renuka Ananth Kalyan; Janagama, Ravali; Yedlapati, Siva H.; Kanike, Neelakanta; Gajula, Viswanath; Madathala, Rajasekhar R.; Poddar, Swati; Sukka, Neelakanta; Jogu, Hanumantha R.; Racherla, Shailaja; Shah, Isha; Pediatrics, School of MedicineBackground There are concerns regarding immunogenicity with coronavirus disease 2019 (COVID-19) mRNA vaccines among persons with prior history of COVID-19 (PHC). This study was to analyze the short-term side effects of mRNA vaccines among health care workers (HCWs) with and without PHC. Methods A cross-sectional study was performed using an independent online survey questionnaire that gathered responses from HCWs. Results Among 1,475 HCWs, 1268 (85.97%) completed the survey, 102/1268 (44/447 in Moderna group and 58/821 in Pfizer-BioNTech group) reported PHC during pre-vaccination period. Symptoms of flushing/P = .05, brain fogging/P= .005, vertigo/P= .041, numbness/P= .023, diarrhea/P= .047, hives/P= .028, itching/P= .028, swelling of lips/mouth/P= .001, shortness of breath/P= .022, and anxiety/P= .048 have greater occurrence among Pfizer-BioNtech group with PHC when compared to Pfizer-BioNtech group with no PHC. Symptoms of chills/P= .027, flushing/P= .045, tremor/P= .05, muscle spasm/P= .039, vomiting/P= .031, diarrhea/P= .015, and cough/P= .011 have higher occurrence among Moderna group with PHC when compared to Moderna group with no PHC. Conclusions Few short-term side effects among mRNA vaccine recipients with PHC may have necessitated transient time-off from work. The PHC can be considered as a predictor for severity of side effects. While the vaccination program continues in the United States, a future COVID legislation that mandates vaccination among employees along with paid time off provision may help with higher compliance and acceptance.