Post COVID-19 fibrosis, an emerging complicationof SARS-CoV-2 infection

SARS-COV-2 has created one of the most massive pandemics in modern history. There is a rapid accumulation of data on its epidemiology, clinical course, diagnosis, management, and complications. One of the sequelae of COVID-19 pneumonia and acute respiratory distress syndrome (ARDS) is pulmonary fibrosis. There is a dearth of accurate data on the prevalence of pulmonary fibrosis post-COVID-19. We report a patient who developed dyspnea secondary to pulmonary fibrosis after successful treatment of COVID-19 pneumonia

Saddle pulmonary embolism in the setting of COVID-19 infection: A systematic review of case reports and case series

Saddle pulmonary embolism (SPE) is a rare type of pulmonary embolism that can lead to hemodynamic compromise causing sudden deaths. Due to a dearth of large prospective studies in this area, little is known regarding the epidemiology, and prognosis and factors affecting the latter for COVID-19-associated SPE. We aimed to describe COVID-19-associated SPE and quantify and compare mortality and factors affecting mortality among the cases. We included a total of 25 publications with a total of 35 cases. The average age was 45 ± 16.3 years with 11 females and 24 males. Dyspnoea (82.5%), orthopnoea (43.5%), and cough (43.5%) were the most common symptoms, and obstructive shock was present in five (21.7%) patients. The average reported oxygen (O2) saturation was 85.8% ± 11.9 mm Hg. Hypertension (26.1%), diabetes (21.7%), and deep vein thrombosis (21.7%) were the most commonly reported comorbidities. Right heart strain was recognized in seven (30%) patients on electroencephalogram (S1QIIITIII) and 12 (52.2%) patients on echocardiogram. Anticoagulation, thrombolysis, and percutaneous intervention were tried in 21 (91.3%), 13 (56.5%), and 6 (26.1%) cases, respectively. Despite the aggressive management, 2 of 25 (8.7%) patients died in our smaller case report cohort. We conclude that despite aggressive management modalities, the mortality of SPE remains high in COVID-19

Saddle pulmonary embolism in the setting of COVID-19 infection: A systematic review of case reports and case series

Saddle pulmonary embolism (SPE) is a rare type of pulmonary embolism that can lead to hemodynamic compromise causing sudden deaths. Due to a dearth of large prospective studies in this area, little is known regarding the epidemiology, and prognosis and factors affecting the latter for COVID-19-associated SPE. We aimed to describe COVID-19-associated SPE and quantify and compare mortality and factors affecting mortality among the cases. We included a total of 25 publications with a total of 35 cases. The average age was 45 ± 16.3 years with 11 females and 24 males. Dyspnoea (82.5%), orthopnoea (43.5%), and cough (43.5%) were the most common symptoms, and obstructive shock was present in five (21.7%) patients. The average reported oxygen (O2) saturation was 85.8% ± 11.9 mm Hg. Hypertension (26.1%), diabetes (21.7%), and deep vein thrombosis (21.7%) were the most commonly reported comorbidities. Right heart strain was recognized in seven (30%) patients on electroencephalogram (S1QIIITIII) and 12 (52.2%) patients on echocardiogram. Anticoagulation, thrombolysis, and percutaneous intervention were tried in 21 (91.3%), 13 (56.5%), and 6 (26.1%) cases, respectively. Despite the aggressive management, 2 of 25 (8.7%) patients died in our smaller case report cohort. We conclude that despite aggressive management modalities, the mortality of SPE remains high in COVID-19

Differential evolution of diabetic ketoacidosis in adults with pre-existent versus newly diagnosed type 1 and type 2 diabetes mellitus

Abstract Background Diabetic ketoacidosis (DKA) was once known to be specific to type-1 diabetes-mellitus (T1D); however, many cases are now seen in patients with type-2 diabetes-mellitus (T2D). Little is known about how this etiology shift affects DKA's outcomes. Methods We studied consecutive index DKA admissions from January 2015 to March 2021. Descriptive analyses were performed based on pre-existing T1D and T2D (PT1D and PT2D, respectively) and newly diagnosed T1D and T2D (NT1D and NT2D, respectively). Results Of the 922 patients, 480 (52%) had T1D, of which 69% had PT1D and 31% NT1D, whereas 442 (48%) had T2D, of which 60% had PT2D and 40% NT2D. The mean age was highest in PT2D (47.6 ± 13.1 years) and lowest in PT1D (27.3 ± 0.5 years) (P < 0.001). Patients in all groups were predominantly male except in the PT1D group (55% females) (P < 0.001). Most patients were Arabic (76% in PT1D, 51.4% in NT1D, 46.6% in PT2D) except for NT2D, which mainly comprised Asians (53%) (P < 0.001). Patients with NT2D had the longest hospital length of stay (LOS) (6.8 ± 11.3 days) (P < 0.001), longest DKA duration (26.6 ± 21.1 h) (P < 0.001), and more intensive-care unit (ICU) admissions (31.2%) (P < 0.001). Patients with PT1D had the shortest LOS (2.5 ± 3.5 days) (P < 0.001), DKA duration (18.9 ± 4.2 h) (P < 0.001), and lowest ICU admissions (16.6%) (P < 0.001). Conclusions/interpretation We presented the largest regional data on differences in DKA based on the type and duration of diabetes- mellitus (DM), showing that T2D is becoming an increasing cause of DKA, with worse clinical outcomes (especially newly diagnosed T2D) compared to T1D

Clinical and biochemical determinants of length of stay, readmission and recurrence in patients admitted with diabetic ketoacidosis.

BACKGROUND: The increasing prevalence of diabetic ketoacidosis (DKA) related admissions poses a significant burden on the healthcare systems globally. However, data regarding the predictors of healthcare resource utilization in DKA is limited and inconsistent. This study aimed to identify key predictors of hospital length of stay (LOS), readmission and recurrent DKA episodes. METHODS: We undertook a retrospective cross-sectional analysis of all DKA admissions from 2015 to 2021 across four hospitals in Qatar. The primary outcomes were the length of stay (LOS), 90-day readmission and 6-month and 1-year DKA recurrence. RESULTS: We included 922 patients with a median age of 35 years (25-45). 62% were males with type-1 diabetes-mellitus (T1DM) and type-2 DM (T2DM), present in 52% and 48% of patients. The median LOS was 2.6 days (IQR 1.1-4.8), and the median DKA resolution time was 18 h (10.5-29). Male-gender, new-onset DM, higher Charlson Comorbidity Index (CCI), lower haemoglobin, sodium and potassium, higher urea, longer DKA duration and MICU admission predicted a longer LOS in a multivariate regression analysis. None of the factors were significantly associated with 90-day readmission. Patients with pre-existing T1DM were more likely to have a six-month DKA recurrence than pre-existing T2DM. Patients with a 6-month DKA recurrence, female gender and T1DM had higher odds of 12-month recurrence, whereas a consult with a diabetes educator at the index admission was associated with decreased odds of recurrence. CONCLUSIONS/INTERPRETATION: This is the most extensive study from the Middle-East region reporting on LOS, readmissions and the recurrence of DKA. Results from this study with a diverse population may be valuable for physicians and healthcare systems to decrease the diabetes-related healthcare burden in DKA patients

Medical Admission Prediction Score (MAPS); a simple tool to predict medical admissions in the emergency department.

INTRODUCTION: Overcrowding in the emergency departments (ED) is linked to adverse clinical outcomes, a negative impact on patient safety, patient satisfaction, and physician efficiency. We aimed to design a medical admission prediction scoring system based on readily available clinical data during ED presentation. METHODS: In this retrospective cross-sectional study, data on ED presentations and medical admissions were extracted from the Emergency and Internal Medicine departments of a tertiary care facility in Qatar. Primary outcome was medical admission. RESULTS: Of 320299 ED presentations, 218772 were males (68.3%). A total of 11847 (3.7%) medical admissions occurred. Most patients were Asians (53.7%), followed by Arabs (38.7%). Patients who got admitted were older than those who did not (p60 years, female gender, discharge within the last 30 days, and worse vital signs at presentations were independently associated with higher odds of admission (p17, area under the curve (AUC) 0.831 (95% CI 0.827-0.836), and a predictive accuracy of 83.3% (95% CI 83.2-83.4). The model had a sensitivity of 69.1% (95% CI 68.2-69.9), specificity was 83.9% (95% CI 83.7-84.0), positive predictive value (PPV) 14.2% (95% CI 13.8-14.4), negative predictive value (NPV) 98.6% (95% CI 98.5-98.7) and positive likelihood ratio (LR+) 4.28% (95% CI 4.27-4.28). CONCLUSION: Medical admission prediction scoring system can be reliably applied to the regional population to predict medical admissions and may have better generalizability to other parts of the world owing to the diverse patient population in Qatar

SGLT-2 inhibitors associated euglycemic and hyperglycemic DKA in a multicentric cohort

Euglycemic diabetic ketoacidosis (EuDKA) secondary to Sodium-glucose co-transporter-2 inhibitors (SGLT2i) in type 2 diabetes mellitus (T2D) is a rare but increasingly reported phenomenon. Not much is known about the burden of EuDKA in patients on SGLT2i or the associated factors. This retrospective cohort study tries to delineate the differences in factors associated with the development of EuDKA as compared to hyperglycemic DKA. We conducted a multicentre, retrospective study across three tertiary care centers under Weill Cornell affiliated-Hamad Medical Corporation, Qatar. The cohort comprised of T2D patients on SGLT2i who developed DKA between January 2015 to December 2020. The differences between the subjects who developed EuDKA or hyperglycaemic DKA (hDKA) were analyzed. A total of 9940 T2D patients were on SGLT2i during 2015–2020, out of which 43 developed DKA (0.43%). 25 developed EuKDA, whereas 18 had hDKA. The point prevalence of EuDKA in our cohort was 58.1%. EuDKA was most common in patients using canagliflozin, followed by empagliflozin and Dapagliflozin (100%, 77%, and 48.3%, respectively). Overall, infection (32.6%) was the most common trigger for DKA, followed by insulin non-compliance (13.7%). Infection was the only risk factor with a significant point estimate between the two groups, being more common in hDKA patients (p-value 0.006, RR 2.53, 95% CI 1.07–5.98). Canagliflozin had the strongest association with the development of EuDKA and was associated with the highest medical intensive care unit (MICU) admission rates (66.6%). In T2D patients on SGLT2i, infection is probably associated with an increased risk of developing EuDKA. The differential role of individual SGLT2i analogs is less clear and will need exploration by more extensive prospective studies.Other Information Published in: Scientific Reports License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1038/s41598-021-89752-w</p

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population