A Comparison of Skin Tumors in Three Species of Flounders

1971 ◽  
Vol 28 (9) ◽  
pp. 1241-1251 ◽  
Author(s):  
G. E. McArn ◽  
S. R. Wellings
Keyword(s):  
Age Groups ◽  
Skin Tumors ◽  
Single Specimen ◽  
English Sole ◽  
Tumor Bearing ◽  
Platichthys Stellatus ◽  
Similar Disease ◽  
History Of ◽  
Hippoglossoides Elassodon ◽  
Parophrys Vetulus

A study of the natural history of skin tumors occurring on two species of Pleuronectidae was conducted in the waters of Bellingham Bay, Washington. Twelve collections at monthly intervals indicated that 4.8% of 1977 English sole (Parophrys vetulus) and 2.4% of 2946 starry flounders (Platichthys stellatus) were tumorous. Three types of tumors were observed, and were classified as angioepithelial nodules, epidermal papillomas, or angioepithelial polyps, according to nomenclature previously established by other workers. The angioepithelial nodule was found on fish in the 1st year of life but not on fish older than 1 year. Epidermal papillomas usually occurred on fish that were 1 year or older, as did the angioepithelial polyps. The incidence of tumor-bearing fish, and the average number of tumors on a single specimen was greatest during the 1st year of life and decreased progressively in older age-groups. Tumors were more likely to occur on the pigmented side than on the nonpigmented side of the fish. The results of this study were compared and contrasted with a similar disease previously described on Hippoglossoides elassodon, the flathead sole.

A RARE CASE OF NEONATE WITH SEVERE LUNG DISEASE SECONDARY TO COVID 19 DISEASE

2021 ◽  
pp. 4-5
Author(s):  
Vishal Dnyaneshwar Sawant ◽  
Murtuja Shaikh ◽  
Sushma Malik ◽  
Poonam Wade ◽  
Santosh Kondekar
Keyword(s):  
Age Groups ◽  
Severe Infection ◽  
Complete Recovery ◽  
Nasopharyngeal Swab ◽  
Global Pandemic ◽  
Similar Disease ◽  
Life Threatening ◽  
History Of ◽  
Polymerase Chain ◽  
Protective Strategies

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome Corona virus 2 (SARS-CoV-2), has caused a global pandemic affecting many countries. The disease is affecting all age groups but data so far has shown that infants and children seem to be at a lower risk of severe infection. This case emphasis that neonates too can have life threatening pulmonary disease that mimics a similar disease course to that described in adults with COVID-19 infection. We report a 21-day-old neonate who presented with fever and signicant positive history of COVID 19 infection in family and developed acute respiratory distress syndrome (ARDS). The SARSCoV-2 polymerase chain reaction (PCR) of nasopharyngeal swab was positive and chest computed tomography had classical changes of COVID 19 infection. Good hydration, lung protective strategies, intravenous immunoglobulin and supportive care led to complete recovery in the patient.

Fin Erosion Disease of Starry Flounder (Platichthys stellatus) and English Sole (Parophrys vetulus) in the Estuary of the Duwamish River, Seattle, Washington

1976 ◽  
Vol 33 (11) ◽  
pp. 2577-2586 ◽  
Author(s):  
S. R. Wellings ◽  
C. E. Alpers ◽  
B. B. McCain ◽  
B. S. Miller
Keyword(s):  
Chronic Inflammation ◽  
Environmental Variables ◽  
Genetic Constitution ◽  
English Sole ◽  
Functional Surface ◽  
Starry Flounder ◽  
Platichthys Stellatus ◽  
Chemical Pollutants ◽  
Fin Rays ◽  
Parophrys Vetulus

Fin erosion in the starry flounder (Platichthys stellatus) and English sole (Parophrys vetulus) of the Duwamish River, Washington, is characterized by ulcerating chronic inflammation and fibrosis with resorption of fin rays. The end result is deformation, shortening, and retraction of residual fin tissue with loss of functional surface. We suggest that the incidence of fin erosion in a particular population is related to an interaction between genetic constitution and multiple environmental variables, including a variety of chemical pollutants.

scholarly journals Predicting COVID-19 mortality with electronic medical records

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Hossein Estiri ◽  
Zachary H. Strasser ◽  
Jeffy G. Klann ◽  
Pourandokht Naseri ◽  
Kavishwar B. Wagholikar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Information ◽  
Age Groups ◽  
Prognostic Models ◽  
Smoking History ◽  
Risk Scores ◽  
Gradient Boosting ◽  
Chronic Obstructive ◽  
Clinical Expertise ◽  
History Of

AbstractThis study aims to predict death after COVID-19 using only the past medical information routinely collected in electronic health records (EHRs) and to understand the differences in risk factors across age groups. Combining computational methods and clinical expertise, we curated clusters that represent 46 clinical conditions as potential risk factors for death after a COVID-19 infection. We trained age-stratified generalized linear models (GLMs) with component-wise gradient boosting to predict the probability of death based on what we know from the patients before they contracted the virus. Despite only relying on previously documented demographics and comorbidities, our models demonstrated similar performance to other prognostic models that require an assortment of symptoms, laboratory values, and images at the time of diagnosis or during the course of the illness. In general, we found age as the most important predictor of mortality in COVID-19 patients. A history of pneumonia, which is rarely asked in typical epidemiology studies, was one of the most important risk factors for predicting COVID-19 mortality. A history of diabetes with complications and cancer (breast and prostate) were notable risk factors for patients between the ages of 45 and 65 years. In patients aged 65–85 years, diseases that affect the pulmonary system, including interstitial lung disease, chronic obstructive pulmonary disease, lung cancer, and a smoking history, were important for predicting mortality. The ability to compute precise individual-level risk scores exclusively based on the EHR is crucial for effectively allocating and distributing resources, such as prioritizing vaccination among the general population.

Estimating time to onset of swine influenza symptoms after initial novel A(H1N1v) viral infection

2010 ◽  
Vol 139 (9) ◽  
pp. 1418-1424 ◽  
Author(s):  
B. D. M. TOM ◽  
A. J. VAN HOEK ◽  
R. PEBODY ◽  
J. McMENAMIN ◽  
C. ROBERTSON ◽  
...  
Keyword(s):  
Incubation Time ◽  
Time Distribution ◽  
Age Groups ◽  
Swine Influenza ◽  
Interval Censoring ◽  
Limited Data ◽  
History Of ◽  
Influenza Case ◽  
Time To Onset

SUMMARYCharacterization of the incubation time from infection to onset is important for understanding the natural history of infectious diseases. Attempts to estimate the incubation time distribution for novel A(H1N1v) have been, up to now, based on limited data or peculiar samples. We characterized this distribution for a generic group of symptomatic cases using laboratory-confirmed swine influenza case-information. Estimates of the incubation distribution for the pandemic influenza were derived through parametric time-to-event analyses of data on onset of symptoms and exposure dates, accounting for interval censoring. We estimated a mean of about 1·6–1·7 days with a standard deviation of 2 days for the incubation time distribution in those who became symptomatic after infection with the A(H1N1v) virus strain. Separate analyses for the <15 years and ⩾15 years age groups showed a significant (P<0·02) difference with a longer mean incubation time in the older age group.

Sex, Race, Insurance, and Pain: Do Patient Sociodemographics Influence Postoperative Opioid Prescriptions Among Hand Surgeons?

Hand ◽  
2021 ◽  
pp. 155894472199802
Author(s):  
Connor J. Peck ◽  
Martin Carney ◽  
Alexander Chiu ◽  
Kitae E. Park ◽  
Alexandre Prassinos ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Medical Center ◽  
Carpal Tunnel Release ◽  
Private Insurance ◽  
Academic Medical Center ◽  
Age Groups ◽  
Postoperative Pain Management ◽  
Patient Treatment ◽  
Opioid Prescription ◽  
History Of

Background: Social and demographic factors may influence patient treatment by physicians. This study analyzes the influence of patient sociodemographics on prescription practices among hand surgeons. Methods: We performed a retrospective analysis of all hand surgeries (N = 5278) at a single academic medical center from January 2016 to September 2018. The average morphine milligram equivalent (MME) prescribed following each surgery was calculated and then classified by age, race, sex, type of insurance, and history of substance use or chronic pain. Multivariate linear regression was used to compare MME among groups. Results: Overall, patients with a history of substance abuse were prescribed 31.2 MME more than those without ( P < .0001), and patients with a history of chronic pain were prescribed 36.7 MME more than those without ( P < .0001). After adjusting for these variables and the type of procedure performed, women were prescribed 11.2 MME less than men ( P = .0048), and Hispanics were prescribed 16.6 MME more than whites ( P = .0091) overall. Both Hispanic and black patients were also prescribed more than whites following carpal tunnel release (+19.0 and + 20.0 MME, respectively; P < .001). Patients with private insurance were prescribed 24.5 MME more than those with Medicare ( P < .0001), but 25.0 MME less than those with Medicaid ( P < .0001). There were no differences across age groups. Conclusions: Numerous sociodemographic factors influenced postoperative opioid prescription among hand surgeons at our institution. These findings highlight the importance of establishing more uniform, evidence-based guidelines for postoperative pain management, which may help minimize subjectivity and prevent the overtreatment or undertreatment of pain in certain patient populations.

Abstract P127: Gender and Fitness Status Influence Age-related Decline in Peak Heart Rate Achievement: Insight From the FIT Cohort

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Haitham Ahmed ◽  
Di Zhao ◽  
Eliseo Guallar ◽  
Michael J Blaha ◽  
Clinton A Brawner ◽  
...  
Keyword(s):  
Heart Rate ◽  
Age Groups ◽  
Peak Heart Rate ◽  
Cross Sectional ◽  
Fitness Level ◽  
Age Related ◽  
Henry Ford ◽  
Exercise Treadmill ◽  
History Of ◽  
Separate Regression

Background: The declines in peak heart rate (HR) and fitness level with age are related; however, whether this association differs based on gender is not well appreciated. In a large cross-sectional cohort of women and men referred for a clinically indicated exercise treadmill test (ETT), we set out to determine whether the decrease in peak HR by age varied by gender (and fitness) in the Henry Ford Exercise Testing (FIT) project. Methods: We analyzed data on 38,196 apparently-healthy patients aged 18-96 [mean age 51 ± 12 yrs, 25% black, 48% women] who completed an ETT. Those with history of coronary heart disease, congestive heart failure, diabetes on medications, atrial fibrillation or flutter, or taking AV nodal blocking medications were excluded. Being “fit” was defined as achieving ≥ the median MET level for each sex/age-decile group. Peak HR vs age was plotted, and regression lines were used to determine the intercept and slope for each group. Results: Men had higher peak HR than women but with a greater decline over time; the respective intercepts and slopes for peak HR estimates were 202.9 and 0.90 for men and 197.3 and 0.80 for women, (p-interaction = 0.023). Fit people also started out with higher peak HR but approached unfit people at higher age groups; respective intercept and slope by fitness status were 203.0 and 0.87 for fit and 194.7 and 0.83 for unfit (p-interaction <0.001). Separate regression lines were generated for categories of fit men/unfit men, fit women/unfit women ( Figure ). Fit and unfit men had similar declines in peak HR with increasing age (slope=0.92); whereas fit women (slope=0.81) had a slightly greater decline in peak HR with increasing age than unfit women (slope=0.73). However, peak absolute HR for fit people still remains higher than for unfit people even into elderly ages. Conclusion: In this cross-sectional cohort of patients referred for a clinical ETT, we found that the age-related decline in peak HR is influenced by both gender and fitness status.

scholarly journals Clinico-Pathological Findings of Bangladeshi Covid 19 Patients with their Clinical Outcome: Study of A Cohort of 201 Cases

2020 ◽  
pp. 37-42
Author(s):  
Nasir Uddin Ahmed ◽  
Md Azizul Islam ◽  
Md Anwarul Kabir ◽  
Md Habibur Rahman ◽  
SM Anwar Sadat
Keyword(s):  
Clinical Outcome ◽  
Respiratory Distress ◽  
Sore Throat ◽  
Respiratory System ◽  
Clinical Presentation ◽  
Severe Disease ◽  
Age Groups ◽  
Military Hospital ◽  
Human Beings ◽  
History Of

Introduction: COVID-19 is a major threat to human beings. Clinical characterization, rapid identification of cases and isolation are vital for containments of rapidly spreading disease. The objectives of the study were to evaluate the clinico pathologic profile of Covid 19 positive Bangladeshi patients and also to see their clinical outcome within defined period. Methods: This cohort study on 201 Bangladeshi cases was done in Combined Military Hospital, a tertiary level hospital in Dhaka, Bangladesh from April 2020 to May 2020. Total 201 COVID-19 cases were enrolled after getting the result positive for RT-PCR. After collection, data were analysed to show the characteristics of Covid 19 and their outcome after treatment. Results: Among 201 cases, 180 (90%) were male and 21 (10%) were female. The most prevalent affected age groups were 71 (35.5%) patients in 26-35 years age, 54 (27%) in 16- 25 years, 49 (24.5%) in 35-45 years. Mean age is 32.2±2. Among the total cases, 146 (73%) have positive history of contact, 37 (18.5%) have no history of any contact, 8 (4%) denied any contact with COVID-19 patients. Regarding clinical presentations, 67 (33.5%) patients presented with only one symptoms, 125 (62.5%) had multiple symptoms and 9 (4.5%) cases were asymptomatic. 154 (77%) patients presented with fever. Other presentations were cough 71 (35.5%), headache 27 (13.5%), myalgia 25 (12.5%), sore throat 25 (12.5%), malaise 15 (7.5%), respiratory distress 11 (5.5%). Respiratory system was the dominant domain of clinical presentation. Leukopenia was presented by 12 patients and 12 had lymphopenia. 18 patients had mild thrombocytopenia. Pulse oxymetry showed oxygen saturation below 88% in 12 cases. After oxygen therapy 7 cases were improved and 5 cases were shifted to Corona ICU as their saturation fell below 70. These 5 patients are categorised as severe disease, rest 196 patients were mild in nature. Conclusion: COVID 19 affects male more than female. Common symptoms are fever, cough, headache, myalgia, sore throat, malaise, respiratory distress. Respiratory system is the dominant domain of clinical presentation. ICU support was needed in 2.5 % cases and death rate was 1% which was associated with comorbidity of CKD. J Bangladesh Coll Phys Surg 2020; 38(0): 37-42

scholarly journals 720. Respiratory and Nonrespiratory Complications Among Patients Hospitalized with Influenza, FluSurv-NET, 2016–2017

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S258-S259
Author(s):  
Shikha Garg ◽  
Charisse Nitura Cummings ◽  
Alissa O’Halloran ◽  
Pam Daily Kirley ◽  
Rachel Herlihy ◽  
...  
Keyword(s):  
Respiratory Failure ◽  
Chronic Renal Disease ◽  
Age Groups ◽  
Respiratory Complications ◽  
Research Support ◽  
Surveillance Network ◽  
Wide Range ◽  
History Of ◽  
Syncytial Virus ◽  
Research Grant

Abstract Background Influenza is most commonly associated with respiratory complications; however, nonrespiratory complications occur frequently among patients hospitalized with influenza. We used data from the Influenza Hospitalization Surveillance Network (FluSurv-NET) to describe complications recorded on discharge summaries of patients hospitalized with influenza. Methods We included children (0–17 years) and adults (≥18 years), who resided within a FluSurv-NET catchment area and were hospitalized with laboratory-confirmed influenza during 2016–2017. We abstracted data on underlying conditions and discharge diagnoses from medical charts. We calculated the frequency of respiratory and nonrespiratory complications in all age groups and used univariate and multivariable logistic regression to examine factors associated with select complications among adults. Results Among 17,489 patients, the most common respiratory complications were pneumonia (26%) and acute respiratory failure (23%) and the most common nonrespiratory complications were sepsis (16%) and acute renal failure (ARF) (12%). Complications varied by age group (figure). Pneumonia was the most common respiratory complication in all age groups except 0–4 years; among children aged 0–4 years bronchiolitis was most common (104/712; 15%). Among 97 children aged 0–4 years with bronchiolitis who underwent testing for respiratory syncytial virus (RSV), 37% had RSV. The most common nonrespiratory complication was seizures in children aged 0–17 years (17% had a history of prior seizures) and sepsis in adults. Among adults (n = 16,057), factors most strongly associated with ARF included chronic renal disease (adjusted odds ratio (AOR) 2.5; 95% confidence interval (95% CI) 2.2–2.8), male sex (AOR 1.5 95% CI 1.4–1.7) and age ≥65 years (AOR 1.4 95% CI 1.2–1.7); the factor most strongly associated with sepsis was chronic neuromuscular disease (AOR 1.5 95% CI 1.3–1.8). Conclusion Influenza hospitalizations are associated with a broad spectrum of complications including pneumonia, respiratory failure, sepsis, ARF and seizures. During the influenza season, astute clinicians should keep influenza in the differential diagnosis for patients with a wide range of presentations. :Disclosures. H. K. Talbot, sanofi pasteur: Investigator, Research grant. Gilead: Investigator, Research grant. MedImmune: Investigator, Research grant. Vaxinnate: Safety Board, none. Seqirus: Safety Board, none. E. J. Anderson, NovaVax: Grant Investigator, Research grant. Pfizer: Grant Investigator, Research grant. AbbVie: Consultant, Consulting fee. MedImmune: Investigator, Research support. PaxVax: Investigator, Research support. Micron: Investigator, Research support.

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