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2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Ozgur Kulahci ◽  
Zeynel Abidin Tas

Background: In our study, thyroid fine-needle aspiration biopsy (FNAB) data in the same calendar period of 1 year before and after the COVID-19 pandemic were compared.Methods: Thyroid FNAB data for the same calendar period of 1 year before and after the COVID-19 pandemic were included in the study. The patients were grouped according to age, gender and thyroid FNABs according to the Bethesda system for reporting thyroid cytopathology, and the data of both groups were compared considering the diagnoses of the patients who underwent thyroid surgery afterwards.Results: In the post-pandemic period, the number of thyroid FNABs and the number of patients over the age of 40 decreased (all p<0.001). In the post-pandemic period, the rates of atypia of undetermined significance or follicular lesion of undetermined significance (AUS/FLUS), follicular neoplasm or suspicious for a follicular neoplasm (FN/SFN), suspicious for malignancy, and malignant cytology increased despite the decrease in the number of patients (p=0.001). Furthermore, the malignant tumour rate was 1.4% before the pandemic in patients who underwent surgical thyroidectomy and/or lobectomy; this rate was 3.5% in the post-pandemic period (p=0.045).Conclusions: We found an increase in the percentage of AUS/FLUS, FN/SFN, suspicious for malignancy, and malignant cases during the period when there were restrictions, such as pandemics, and the sampling was reduced. This finding is valuable in terms of detecting an increased malignancy rate by performing less thyroid FNAB by carefully determining the indications for thyroid aspiration biopsy regarding the latest guidelines.


Author(s):  
Jiramate Changklom ◽  
Tas Surasanwong ◽  
Praewa Jowwongsan ◽  
Surachai Lipiwattanakarn ◽  
Adichai Pornprommin

Abstract Phuket is a tropical island in Thailand that is famous for tourism. The COVID-19 pandemic resulted in the number of tourists reducing to almost zero. Since tourism contributes around one-half of the gross provincial product of Phuket, the impact was so severe that even the numbers of people employed and registered as locals decreased. Analysing the data from January 2015 to March 2021, we found that the total, residential and non-residential monthly consumptions dropped significantly after Thailand's State of Emergency was declared in March 2020. Unlike other studies that reported residential consumption increasing when people are required to stay home for a prolonged period, Phuket's residential consumption decreased by more than 10% from the pre-COVID-19 level, possibly due to the drop in peer-to-peer accommodation bookings. To study the impact on consumption in detail, we modelled using cascade regression analysis by dividing the predictors into three groups, namely socioeconomics, weather and calendar period. The results showed that the number of guest arrivals was the most statistically significant in all types of consumption and should be used as a predictor for water demand forecasting models in tourism areas.


2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Michael McCusker ◽  
Jennifer Edwards ◽  
Margaret Clark

Abstract Aims To determine the incidence of peri-operative delirium in our emergency laparotomy population. Methods Utilising our local prospectively maintained Emergency Laparotomy and Laparoscopic Scottish Audit (ELLSA) database all cases over a two-month calendar period were identified. Case notes were reviewed retrospectively for all patients. The 4 A's Test (4AT) assessment tool was used to screen for the presence of delirium (a score ≥4 = delirium), performed throughout the peri-operative period. For all patients baseline characteristics were recorded including NELA risk score, 30 day survival, length of stay (LOS), ASA score, age, sex and presence of pre-morbid cognitive dysfunction. Results Thirty-two patients were identified through the ELLSA database. Incidence of peri-operative delirium as determined by 4AT was 10/32 patients (31.25%). The thirty day mortality was 4/32 (12.5%). Peri-operative delirium was identified in all non-survivors. NELA risk score for those with delirium 14% / 21% (median / mean) versus 2.5% / 2.3% (median / mean) without (p 0.0015). The LOS for those with delirium 26 / 24.6 days (median / mean) versus 11 / 13.6 (median / mean) without (p 0.0194). Conclusions Delirium is a common peri-operative event. In our population it is associated with a higher NELA score. The presence of delirium is associated with poorer outcomes, with an increased mortality and LOS. This single site survey indicates that there is a need to develop care pathways that identify those at risk of delirium and implement treatment guidelines. Our survey suggests that the NELA score could be used as a triage tool for the risk of delirium.


Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4870
Author(s):  
Charlotte Ryder-Burbidge ◽  
Ruth L. Diaz ◽  
Ronald D. Barr ◽  
Sumit Gupta ◽  
Paul C. Nathan ◽  
...  

Risk factors associated with late effects in survivors of adolescent and young adult (AYA) cancer are poorly understood. We conducted a systematic scoping review to identify cohort studies published in English from 2010–2020 that included: (1) cancer survivors who were AYAs (age 15–39 years) at diagnosis and (2) outcomes of subsequent malignant neoplasms (SMNs), chronic conditions, and/or late mortality (>5 years postdiagnosis). There were 652 abstracts identified and, ultimately, 106 unique studies were included, of which 23, 34, and 54 studies related to the risk of SMNs, chronic conditions, and mortality, respectively. Studies investigating late effects among survivors of any primary cancer reported that AYA cancer survivors were at higher risk of SMN, chronic conditions, and all-cause mortality compared to controls. There was an indication that the following factors increased risk: radiation exposure (n = 3) for SMNs; younger attained age (n = 4) and earlier calendar period of diagnosis (n = 3) for chronic conditions; and non-Hispanic Black or Hispanic (n = 5), low socioeconomic status (n = 3), and earlier calendar period of diagnosis (n = 4) for late mortality. More studies including the full AYA age spectrum, treatment data, and results stratified by age, sex, and cancer type are needed to advance knowledge about late effects in AYA cancer survivors.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0246170
Author(s):  
Alessandro Soria ◽  
Stefania Galimberti ◽  
Giuseppe Lapadula ◽  
Francesca Visco ◽  
Agata Ardini ◽  
...  

Background During the Coronavirus disease 2019 (COVID-19) pandemic, advanced health systems have come under pressure by the unprecedented high volume of patients needing urgent care. The impact on mortality of this “patients’ burden” has not been determined. Methods and findings Through retrieval of administrative data from a large referral hospital of Northern Italy, we determined Aalen-Johansen cumulative incidence curves to describe the in-hospital mortality, stratified by fixed covariates. Age- and sex-adjusted Cox models were used to quantify the effect on mortality of variables deemed to reflect the stress on the hospital system, namely the time-dependent number of daily admissions and of total hospitalized patients, and the calendar period. Of the 1225 subjects hospitalized for COVID-19 between February 20 and May 13, 283 died (30-day mortality rate 24%) after a median follow-up of 14 days (interquartile range 5–19). Hospitalizations increased progressively until a peak of 465 subjects on March 26, then declined. The risk of death, adjusted for age and sex, increased for a higher number of daily admissions (adjusted hazard ratio [AHR] per an incremental daily admission of 10 patients: 1.13, 95% Confidence Intervals [CI] 1.05–1.22, p = 0.0014), and for a higher total number of hospitalized patients (AHR per an increase of 50 patients in the total number of hospitalized subjects: 1.11, 95%CI 1.04–1.17, p = 0.0004), while was lower for the calendar period after the peak (AHR 0.56, 95%CI 0.43–0.72, p<0.0001). A validation was conducted on a dataset from another hospital where 500 subjects were hospitalized for COVID-19 in the same period. Figures were consistent in terms of impact of daily admissions, daily census, and calendar period on in-hospital mortality. Conclusions The pressure of a high volume of severely ill patients suffering from COVID-19 has a measurable independent impact on in-hospital mortality.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Therese L. F. Holmager ◽  
Lars Thygesen ◽  
Lene T. Buur ◽  
Elsebeth Lynge

Abstract Background Lolland-Falster is a rural area of Denmark, where the life expectancy is presently almost six years lower than in the rich capital suburbs. To determine the origin of this disparity, we analysed changes in mortality during 50 years in Lolland-Falster. Methods Annual population number and number of deaths at municipality level were retrieved from StatBank Denmark and from Statistics Denmark publications, 1968–2017. For 1974–2017, life expectancy at birth by sex and 5-year calendar period was calculated. From 1968 to 2017, standardised mortality ratio (SMR) for all-cause mortality was calculated by sex, 5-year calendar period and municipality, with Denmark as standard and including 95% confidence intervals (CI). Results In 1968–2017, life expectancy in Lolland-Falster increased, but less so than in the rest of Denmark. Fifty years ago, Lolland-Falster had a mortality similar to the rest of Denmark. The increasing mortality disparity developed gradually starting in the late 1980s, earlier in Lolland municipality (western part) than in Guldborgsund municipality (eastern part), and earlier for men than for women. By 2013–2017, the SMR had reached 1.25 (95% CI 1.19–1.31) for men in the western part, and 1.11 (95% CI 1.08–1.16) for women in the eastern part. Increasing mortality disparity was particularly seen in people aged 20–69 years. Conclusions This study is the first to report on increasing geographical segregation in all-cause mortality in a Nordic welfare state. Development of the mortality disparity between Lolland-Falster and the rest of Denmark followed changes in agriculture, industrial company closure, a shipyard close-down, administrative centralisation, and a decreasing population size.


Author(s):  
Jacqueline T. Bork ◽  
Surbhi Leekha ◽  
Kimberly Claeys ◽  
Hyunuk Seung ◽  
Megan Tripoli ◽  
...  

Abstract Interrupted time series segmented regression was conducted to trend antibiotic use and multidrug-resistant gram-negative (MDRGN) acquisition relative to COVID-19 in an academic hospital. Total antibiotic use and antibiotic use related to pneumonia was higher in the period after the onset of COVID-19 compared to the similar calendar period in 2019. Furthermore, MDRGN acquisition increased 3% for every increase in positive COVID-19 tests per week.


Author(s):  
D B Richardson ◽  
E Rage ◽  
P A Demers ◽  
M T Do ◽  
N DeBono ◽  
...  

Abstract Background The Pooled Uranium Miners Analysis (PUMA) study draws together information from cohorts of uranium miners from Canada, the Czech Republic, France, Germany and the USA. Methods Vital status and cause of death were ascertained and compared with expectations based upon national mortality rates by computing standardized mortality ratios (SMRs) overall and by categories of time since first hire, calendar period of first employment and duration of employment as a miner. Results There were 51 787 deaths observed among 118 329 male miners [SMR = 1.05; 95% confidence interval (CI): 1.04, 1.06]. The SMR was elevated for all cancers (n = 16 633, SMR = 1.23; 95% CI: 1.21, 1.25), due primarily to excess mortality from cancers of the lung (n = 7756, SMR = 1.90; 95% CI: 1.86, 1.94), liver and gallbladder (n = 549, SMR = 1.15; 95% CI: 1.06, 1.25), larynx (n = 229, SMR = 1.10; 95% CI: 0.97, 1.26), stomach (n = 1058, SMR = 1.08; 95% CI: 1.02, 1.15) and pleura (n = 39, SMR = 1.06; 95% CI: 0.75, 1.44). Lung-cancer SMRs increased with duration of employment, decreased with calendar period and persisted with time since first hire. Among non-malignant causes, the SMR was elevated for external causes (n = 3362, SMR = 1.41; 95% CI: 1.36, 1.46) and respiratory diseases (n = 4508, SMR = 1.32; 95% CI: 1.28, 1.36), most notably silicosis (n = 814, SMR = 13.56; 95% CI: 12.64, 14.52), but not chronic obstructive pulmonary disease (n = 1729, SMR = 0.98; 95% CI: 0.93, 1.02). Conclusions Whereas there are important obstacles to the ability to detect adverse effects of occupational exposures via SMR analyses, PUMA provides evidence of excess mortality among uranium miners due to a range of categories of cause of death. The persistent elevation of SMRs with time since first hire as a uranium miner underscores the importance of long-term follow-up of these workers.


PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241952 ◽  
Author(s):  
Sergi Trias-Llimós ◽  
Tim Riffe ◽  
Usama Bilal

Background To provide an interpretable summary of the impact on mortality of the COVID-19 pandemic we estimate weekly and annual life expectancies at birth in Spain and its regions. Methods We used daily death count data from the Spanish Daily Mortality Monitoring System (MoMo), and death counts from 2018, and population on July 1st, 2019 by region (CCAA), age groups, and sex from the Spanish National Statistics Institute. We estimated weekly and annual (2019 and 2020*, the shifted annual calendar period up to 5 July 2020) life expectancies at birth as well as their differences with respect to 2019. Results Weekly life expectancies at birth in Spain were lower in weeks 11–20, 2020 compared to the same weeks in 2019. This drop in weekly life expectancy was especially strong in weeks 13 and 14 (March 23rd to April 5th), with national declines ranging between 6.1 and 7.6 years and maximum regional weekly declines of up to 15 years in Madrid. Annual life expectancy differences between 2019 and 2020 also reflected an overall drop in annual life expectancy of 0.9 years for both men and women. These drops ranged between 0 years in several regions (e.g. Canary and Balearic Islands) to 2.8 years among men in Madrid. Conclusions Life expectancy is an easy to interpret measure for understanding the heterogeneity of mortality patterns across Spanish regions. Weekly and annual life expectancy are sensitive and useful indicators for understanding disparities and communicating the gravity of the situation because differences are expressed in intuitive year units.


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