Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: A comparative risk assessment

Background: High blood pressure, blood glucose, serum cholesterol, and BMI are risk factors for cardiovascular diseases and some of these factors also increase the risk of chronic kidney disease and diabetes. We estimated mortality from cardiovascular diseases, chronic kidney disease, and diabetes that was attributable to these four cardiometabolic risk factors for all countries and regions from 1980 to 2010. Methods: We used data for exposure to risk factors by country, age group, and sex from pooled analyses of population-based health surveys. We obtained relative risks for the effects of risk factors on cause-specific mortality from meta-analyses of large prospective studies. We calculated the population attributable fractions for each risk factor alone, and for the combination of all risk factors, accounting for multicausality and for mediation of the effects of BMI by the other three risks. We calculated attributable deaths by multiplying the cause-specific population attributable fractions by the number of disease-specific deaths. We obtained cause-specific mortality from the Global Burden of Diseases, Injuries, and Risk Factors 2010 Study. We propagated the uncertainties of all the inputs to the final estimates. Findings: In 2010, high blood pressure was the leading risk factor for deaths due to cardiovascular diseases, chronic kidney disease, and diabetes in every region, causing more than 40% of worldwide deaths from these diseases; high BMI and glucose were each responsible for about 15% of deaths, and high cholesterol for more than 10%. After accounting for multicausality, 63% (10·8 million deaths, 95% CI 10·1-11·5) of deaths from these diseases in 2010 were attributable to the combined effect of these four metabolic risk factors, compared with 67% (7·1 million deaths, 6·6-7·6) in 1980. The mortality burden of high BMI and glucose nearly doubled from 1980 to 2010. At the country level, age-standardised death rates from these diseases attributable to the combined effects of these four risk factors surpassed 925 deaths per 100 000 for men in Belarus, Kazakhstan, and Mongolia, but were less than 130 deaths per 100 000 for women and less than 200 for men in some high-income countries including Australia, Canada, France, Japan, the Netherlands, Singapore, South Korea, and Spain. Interpretation: The salient features of the cardiometabolic disease and risk factor epidemic at the beginning of the 21st century are high blood pressure and an increasing effect of obesity and diabetes. The mortality burden of cardiometabolic risk factors has shifted from high-income to low-income and middle-income countries. Lowering cardiometabolic risks through dietary, behavioural, and pharmacological interventions should be a part of the global response to non-communicable diseases. Funding: UK Medical Research Council, US National Institutes of Health. © 2014 Elsevier Ltd

How To Lie with Statistics and Figures

Background: Medical practitioners have had to learn more and more statistics not only to perform studies but more importantly, to interpret the medical literature and apply new findings to practice. We believe that because of a lack of formal training in statistics, the prevalence of some common errors is simply because of a lack of knowledge and awareness about these errors, which frequently leads to the misinterpretation of study results. Discussion: This article reviews some of the common pitfalls and tricks that are prevalent in the reporting of results in the medical literature. Common errors include the use of the wrong average, misinterpretation of statistical significance as practical significance, reaching false conclusions because of errors in statistical power interpretation, and false assumptions about causation caused by correlation. Additionally, we review some design and reporting practices that are misguided, the use of post hoc analysis in study design, and the pervasiveness of "spin" in scientific writing. Last, we review and demonstrate common pitfalls with the presentation of data in graphs, which adds another potential opportunity to introduce bias. Conclusions: The tests used in the medical literature continue to change and evolve, usually for the better. With these changes, there will certainly be opportunities to introduce unintentional bias. The more aware we are of this, the more likely we are to find it and correct it

Hernia Emergencies

Hernia emergencies are commonly encountered by the acute care surgeon. Although the location and contents may vary, the basic principles are constant: address the life-threatening problem first, then perform the safest and most durable hernia repair possible. Mesh reinforcement provides the most durable long-term results. Underlay positioning is associated with the best outcomes. Components separation is a useful technique to achieve tension-free primary fascial reapproximation. The choice of mesh is dictated by the degree of contamination. Internal herniation is rare, and preoperative diagnosis remains difficult. In all hernia emergencies, morbidity is high, and postoperative wound complications should be anticipated

Hidden Costs of Hospitalization After Firearm Injury: National Analysis of Different Hospital Readmission

To compare the risk factors and costs associated with readmission after firearm injury nationally, including different hospitals. No national studies capture readmission to different hospitals after firearm injury. The 2013 to 2014 Nationwide Readmissions Database was queried for patients admitted after firearm injury. Logistic regression identified risk factors for 30-day same and different hospital readmission. Cost was calculated. Survey weights were used for national estimates. There were 45,462 patients admitted for firearm injury during the study period. The readmission rate was 7.6%, and among those, 16.8% were readmitted to a different hospital. Admission cost was $1.45 billion and 1-year readmission cost was$131 million. Sixty-four per cent of those injured by firearms were publicly insured or uninsured. Readmission predictors included: length of stay >7 days [odds ratio (OR) 1.43, P 15 (OR 1.41, P < 0.01), and requiring an operation (OR 1.40, P < 0.01). Private insurance was a predictor against readmission (OR 0.81, P < 0.01). Predictors of readmission to a different hospital were unique and included: initial admission to a for-profit hospital (OR 1.52, P < 0.01) and median household income ≥$64,000 (OR 1.48, P < 0.01). A significant proportion of the national burden of firearm readmissions is missed by not tracking different hospital readmission and its unique set of risk factors. Firearm injury-related hospitalization costs$791 million yearly, with the largest fraction paid by the public. This has implications for policy, benchmarking, quality, and resource allocation

Impact of nationwide essential trace element shortages: A before‐after, single‐center analysis of hospitalized adults receiving home parenteral nutrition therapy

Background Recent data on the prevalence of essential trace element (ETE) deficiencies in home parenteral nutrition (HPN) patients are scarce. We investigated whether ETE deficiencies are still an important issue for HPN patients and whether the prevalence of such deficiencies may be influenced by nationwide drug shortages. Methods We conducted a single‐institution, retrospective analysis from 2006 to 2015 of hospitalized HPN patients who continued PN during and in between hospitalizations. In subgroup analysis, patients were dichotomized as those with HPN duration <1 vs ≥1 year. Zinc (Zn), copper (Cu), and selenium (Se) levels were ed for patients over the study period. Prevalence of ETE deficiency was compared using chi‐squared test for patients hospitalized during nonshortage vs shortage (2011–2014) periods. Results Ninety‐six patients were included in the analysis. Prevalence of ETE deficiency during nonshortage vs shortage periods was 48% vs 54% (Zn), 15% vs 21% (Cu), and 24% vs 48% (Se; P = .01), respectively. When comparing patients who received HPN <1 year vs ≥1 year, the prevalence of Se deficiency doubled during shortage in both subgroups (24% to 42% vs 26% to 49%); and Cu deficiency tripled during shortage period in the group receiving HPN ≥1 year (5% to 16%). Conclusion ETE deficiency is prevalent in hospitalized HPN patients and was exacerbated during nationwide shortages of parenteral supplements. Statistical significance may be limited by small sample size. Future studies are needed to determine optimal ETE supplementation strategies for minimizing the impacts of nationwide drug shortages on HPN patients

Same-Hospital Re-Admission Rate Is Not Reliable for Measuring Post-Operative Infection-Related Re-Admission

Post-operative infections cause morbidity, consume resources, and are an important quality measure in assessing and comparing hospitals. Commonly used metrics do not account for re-admission to a different hospital. The Nationwide Readmissions Database (NRD) tracks re-admissions across United States (US) hospitals. Infection-related re-admission across US hospitals has not been studied previously. The 2013 NRD was queried for admissions with a primary International Classification of Diseases and Related Health Problems, 9th revision, Clinical Modification code for the most frequently performed operations. Non-elective all-cause, infection-related, and different hospital 30-day re-admission rates were calculated, using All Patient Refined Diagnosis Related Groups codes. Multi-variable logistic regression identified risk factors for re-admission. Of 826,836 surviving to discharge, 39,281 (4.8%) had an unplanned re-admission within 30 days, occurring at a different hospital 20.5% of the time. The most common reason for re-admission was infection (25.1%). Orthopedic and spinal procedures were at highest risk for all-cause and infection-related different hospital re-admission. Infection-related different hospital re-admission risk factors included: Length of stay >30 days (odds ratio [OR] 2.28 [1.62-3.21], p 1 (OR 1.14 [1.01-1.28], p < 0.01) and differed from predictors of same-hospital infectious re-admission. Non-elective surgical procedure (OR 0.79 [0.72-0.87], p < 0.01) and initial hospitalization at a large hospital (OR 0.66 [0.59-0.74], p < 0.01) were protective. A substantial proportion of post-operative re-admissions are missed by same-hospital re-admission data. All-cause and infection-related post-operative re-admissions to a different hospital are affected by unique patient and institution-specific factors. Re-admission reduction programs, quality metrics, and policy based on same hospital re-admission data should be updated to incorporate different hospital re-admission

Small Intestinal Perforation Secondary to Necrotizing Enteritis—An Under-Recognized Complication of Crohn’s Disease

Small bowel perforation is an uncommon but severe event in the natural history of Crohn’s disease with fewer than 100 cases reported. We review Crohn’s disease cases with necrotizing enteritis and share a case of a 26-year-old female who presented with a recurrent episode of small intestinal perforation. A PubMed literature review of case reports and series was conducted using keywords and combinations of “Crohn’s disease,” “small intestine perforation,” “small bowel perforation,” “free perforation,” “regional enteritis,” and “necrotizing enteritis.” Data extracted included demographic data, pre- or postoperative steroid administration, medical or surgical management, and case fatality. Nineteen reports from 1935 to 2021 qualified for inclusion. There were 43 patients: 20 males and 23 females with a mean age of 36 ± 15 years old. 75 total perforations were described: 56 ileal (74.6%), 15 jejunal (20.0%), 2 cecal (2.7%), and 1 small intestine non-specified (2.7%). 38 of 43 patients were managed surgically by primary repair (11), ostomy creation (21), or an anastomosis (11). Of 11 case fatalities, medical management alone was associated with higher mortality (5/5; 100% mortality) compared to those treated surgically (6/38; 15.8% mortality; P < .001). Patient sex, disease history, acute abdomen, and pre- or postoperative steroid use did not significantly correlate with mortality. Jejunal perforation was significantly ( P = .028) associated with event mortality while ileal was not ( P = .45). Although uncommon, necrotizing enteritis should be considered in Crohn’s patients who present with small intestinal perforation. These cases often require urgent surgical intervention and may progress to fulminant sepsis and fatality if not adequately treated

Validating the ATLS Shock Classification for Predicting Death, Transfusion, or Urgent Intervention

The Advanced Trauma Life Support (ATLS) shock classification has been accepted as the conceptual framework for clinicians caring for trauma patients. We sought to validate its ability to predict mortality, blood transfusion, and urgent intervention. We performed a retrospective review of trauma patients using the 2014 National Trauma Data Bank. Using initial vital signs data, patients were categorized into shock class based on the ATLS program. Rates for urgent blood transfusion, urgent operative intervention, and mortality were compared between classes. 630,635 subjects were included for analysis. Classes 1, 2, 3, and 4 included 312,404, 17,133, 31, and 43 patients, respectively. 300,754 patients did not meet criteria for any ATLS shock class. Of the patients in class 1 shock, 2653 died (0.9%), 3123 (1.0%) were transfused blood products, and 7115 (2.3%) underwent an urgent procedure. In class 2, 219 (1.3%) died, 387 (2.3%) were transfused, and 1575 (9.2%) underwent intervention. In class 3, 7 (22.6%) died, 10 (32.3%) were transfused, and 13 (41.9%) underwent intervention. In class 4, 15 (34.9%) died, 19 (44.2%) were transfused, and 23 (53.5%) underwent intervention. For uncategorized patients, 21,356 (7.1%) died, 15,168 (5.0%) were transfused, and 23,844 (7.9%) underwent intervention. Almost half of trauma patients do not meet criteria for any ATLS shock class. Uncategorized patients had a higher mortality (7.1%) than patients in classes 1 and 2 (0.9% and 1.3%, respectively). Classes 3 and 4 only accounted for 0.005% and 0.007%, respectively, of patients. The ATLS classification system does not help identify many patients in severe shock