ABSTRACT
A 60-year-old man with swab-positive COVID-19 and extensive ground-glass change seen on CT imaging was successfully managed on our COVID-19 high-dependency unit with only low-flow oxygen and strict awake proning instructions. He was successfully weaned off oxygen entirely without any requirement for non-invasive or invasive ventilation and made a recovery to be discharged home after an 18-day hospital stay.
Subject(s)
Coronavirus Infections , Enoxaparin/administration & dosage , Hypoxia , Oxygen Inhalation Therapy/methods , Pandemics , Pneumonia, Viral , Prone Position , Anticoagulants/administration & dosage , Betacoronavirus/isolation & purification , COVID-19 , Chemoprevention/methods , Computed Tomography Angiography/methods , Coronavirus Infections/diagnosis , Coronavirus Infections/physiopathology , Coronavirus Infections/therapy , Dyspnea/diagnosis , Dyspnea/etiology , Echocardiography/methods , Humans , Hypoxia/diagnosis , Hypoxia/etiology , Hypoxia/therapy , Intensive Care Units , Lung/diagnostic imaging , Male , Middle Aged , Pneumonia, Viral/diagnosis , Pneumonia, Viral/physiopathology , Pneumonia, Viral/therapy , Pulmonary Embolism/prevention & control , SARS-CoV-2 , Tomography, X-Ray Computed/methods , Treatment OutcomeABSTRACT
BACKGROUND: Since Vitamin D is known to be vital in regulating the immune system, and sunlight UV radiation exposure on the skin produces Vitamin D and UV intensity is highest nearest the equator, a study was done to examine the correlation between the latitude and COVID-19 fatality rates for countries. METHODS: Eighty-eight countries were selected based on their likelihood of providing reliable data. Using death rates/million for each country from the "worldometer" website, a correlation analysis was done between death rates and a country's latitude. RESULTS: A highly significant, positive correlation was found between lower death rates and a country's proximity to the equator (Pearson râ¯=â¯0.40 P < .0001, 2-tailed t test). The R squared of 0.16 means that 16% of the variation in death rates among nations is accounted for by the latitude of the country. Evidence is presented suggesting a direct correlation between sunlight exposure and reduced mortality. DISCUSSION: This study is the first to document a statistically significant correlation between a country's latitude and its COVID-19 mortality and is consistent with other research regarding latitude, Vitamin D deficiency, and COVID-19 fatalities. Limitations of this study are noted. CONCLUSIONS: Further research is needed to confirm the correlation between latitude and COVID-19 fatalities, and to determine the optimum amounts of safe sunlight exposure and/or vitamin D oral supplementation to reduce COVID-19 fatalities in populations that are at high risk for vitamin D deficiency.
Subject(s)
Betacoronavirus , Coronavirus Infections/mortality , Global Health/statistics & numerical data , Pneumonia, Viral/mortality , Sunlight , Vitamin D/blood , COVID-19 , Coronavirus Infections/blood , Coronavirus Infections/virology , Female , Geography , Humans , Male , Pandemics , Pneumonia, Viral/blood , Pneumonia, Viral/virology , Radiation Exposure/analysis , SARS-CoV-2 , Vitamin D Deficiency/mortality , Vitamin D Deficiency/virologyABSTRACT
INTRODUCTION: The aim of this study was to develop and validate a simple prognostic scoring system using readily available clinical and pathological variables that could stratify patients according to the risk of death following lung cancer resection. We hypothesized that by using additional pathological variables not accounted for by pathological stage alone coupled with markers of overall fitness a new prognostic tool could be developed. METHODS: Multivariable logistic regression analysis of pathological and other clinical variables from patients undergoing surgical resection of non-small cell lung cancer (NSCLC) were used to determine factors independently associated with 2-year overall survival and so derive the scoring system. The model was then validated in an external multi-centre dataset. RESULTS: Using multivariable logistic regression on a large dataset (n = 1,421) the 'LNC-PATH' (Lymphovascular invasion, N-stage, adjuvant Chemotherapy, Performance status, Age, T-stage, Histology) prognostic score was devised and then validated using an external dataset (n = 402). This can be used to risk stratify patients into low, moderate and high-risk groups with a statistically significant difference between the three groups in their survival distributions. 83.8% of patients in the low-risk group survived two years after surgery compared to 55.6% in the moderate-risk group and 26.2% in the high-risk group. The score was shown to perform moderately well with an Area Under the Receiver Operating Characteristic curve (AUROC) value of 0.76 (95% CI: 0.73-0.79) and 0.70 (95% CI: 0.64-0.76) in the derivation and validation cohorts respectively. DISCUSSION: The LNC-PATH score predicts 2-year overall survival after surgery for NSCLC. This may allow the development of risk stratified follow-up protocols in survivorship clinics which could be the subject of future prospective studies.