BACKGROUND: Fournier\'s Gangrene is a severe surgical infectious disease, and various risk factors can increase its mortality rate. The purpose of this study is to retrospectively analyze the clinical characteristics and laboratory data of Fournier\'s Gangrene patients, followed by an analysis of mortality-related risk factors. This study has no secondary objectives.
METHODS: This study included 46 hospitalized patients diagnosed with Fournier\'s Gangrene at Suzhou Traditional Chinese Medicine Hospital from December 2013 to March 2024. Clinical data for all patients were extracted from the electronic medical records system. The collected data included gender, age, duration of illness, length of hospital stay, sites of infection involvement, comorbidities, white blood cell count, hematocrit, albumin, blood glucose, creatinine, serum sodium, serum potassium upon admission, microbial culture results, and patient outcomes (survival/death). The Simplified Fournier Gangrene Severe Index (SFGSI) was used to score all patients. Patients were categorized into survival and death groups based on clinical outcomes. Differences between categorical variables were compared using the χ² test or Fisher\'s exact test. Differences between numerical variables were compared using Student\'s t-test or the Mann-Whitney U test. Binary logistic regression was employed to analyze the risk factors for mortality in Fournier\'s Gangrene.
RESULTS: Among the 46 Fournier\'s Gangrene patients, 39 were male (84.8%) and 7 were female (15.2%). The age ranged from 17 to 86 years, with a median age of 61 years. Fourteen cases (30.4%) were confined to the perianal area, 26 cases (56.5%) had fascial necrosis involving the perianal, perineal, and genital regions, while 6 cases (13.0%) extended to the abdominal wall. At a 3-month postoperative follow-up, 43 patients (93.5%) survived, while 3 patients (6.5%) died shortly after admission due to severe illness. Based on the outcome, patients were divided into survival and death groups with 43 and 3 cases, respectively. Significant differences were observed between the two groups in terms of age (P<0.05), extension to the abdominal wall (P<0.01), hematocrit (P<0.01), albumin (P<0.01), SFGSI (P<0.01), and SFGSI>2 (P<0.01). Binary logistic regression analysis indicated that decreased hematocrit was an independent risk factor for mortality in Fournier\'s Gangrene patients.
CONCLUSIONS: This study provides a detailed analysis of the clinical characteristics and risk factors for mortality in Fournier\'s Gangrene patients. The primary outcome of this study is that a decreased hematocrit is an independent risk factor for predicting mortality in FG patients. These findings offer valuable prognostic insights for clinicians, underscoring the importance of early identification and correction of reduced hematocrit to improve patient outcomes and survival rates.

Chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD) have a syndemic relationship with shared risk factors and complex interplay between genetic, environmental, socioeconomic, and pathophysiological mechanisms. CVD is among the most common comorbidities in patients with COPD and vice versa. Patients with COPD, irrespective of their disease severity, are at increased risk of CVD morbidity and mortality, driven in part by COPD exacerbations. Despite these known interrelationships, CVD is underestimated and undertreated in patients with COPD. Similarly, COPD is an independent risk-enhancing factor for adverse cardiovascular (CV) events, yet it is not incorporated into current CV risk assessment tools, leading to under-recognition and undertreatment. There is a pressing need for systems change in COPD management to move beyond symptom control towards a comprehensive cardiopulmonary disease paradigm with proactive prevention of exacerbations and adverse cardiopulmonary outcomes and mortality. However, there is a dearth of evidence defining optimal cardiopulmonary care pathways. Fortunately, there is a precedent to support systems-level change in the field of diabetes, which evolved from glycemic control to comprehensive multi-organ risk assessment and management. Key elements included integrated multidisciplinary care, intensive risk factor management, coordination between primary and specialist care, care pathways and protocols, education and self management, and disease-modifying therapies. This commentary article draws parallels between the cardiometabolic and cardiopulmonary paradigms and makes a case for systems change towards multidisciplinary, integrated cardiopulmonary care, using the evolution in diabetes care as a potential framework.

BACKGROUND: Aortic valve infective endocarditis (IE) is associated with significant morbidity and mortality. We aimed to describe the clinical profile, risk factors and predictors of short- and long-term mortality in patients with aortic valve IE treated with aortic valve replacement (AVR) compared with a control group undergoing AVR for non-infectious valvular heart disease.
METHODS: Between January 2008 and December 2013, a total of 170 cases with IE treated with AVR (exposed cohort) and 677 randomly selected non-infectious AVR-treated patients with degenerative aortic valve disease (controls) were recruited from three tertiary hospitals with cardiothoracic facilities across Scandinavia. Crude and adjusted hazard ratios (HR) were estimated using Cox regression models.
RESULTS: The mean age of the IE cohort was 58.5 ± 15.1 years (80.0% men). During a mean follow-up of 7.8 years (IQR 5.1-10.8 years), 373 (44.0%) deaths occurred: 81 (47.6%) in the IE group and 292 (43.1%) among controls. Independent risk factors associated with IE were male gender, previous heart surgery, underweight, positive hepatitis C serology, renal failure, previous wound infection and dental treatment (all p < 0.05). IE was associated with an increased risk of both short-term (≤ 30 days) (HR 2.86, [1.36-5.98], p = 0.005) and long-term mortality (HR 2.03, [1.43-2.88], p < 0.001). In patients with IE, chronic obstructive pulmonary disease (HR 2.13), underweight (HR 4.47), renal failure (HR 2.05), concomitant mitral valve involvement (HR 2.37) and mediastinitis (HR 3.98) were independent predictors of long-term mortality. Staphylococcus aureus was the most prevalent microbe (21.8%) and associated with a 5.2-fold increased risk of early mortality, while enterococci were associated with the risk of long-term mortality (HR 1.78).
CONCLUSIONS: In this multicenter case-control study, IE was associated with an increased risk of both short- and long-term mortality compared to controls. Efforts should be made to identify, and timely treat modifiable risk factors associated with contracting IE, and mitigate the predictors of poor survival in IE.

BACKGROUND: Diagnostic errors are an underappreciated cause of preventable mortality in hospitals and pose a risk for severe patient harm and increase hospital length of stay.
OBJECTIVE: This study aims to explore the potential of machine learning and natural language processing techniques in improving diagnostic safety surveillance. We conducted a rigorous evaluation of the feasibility and potential to use electronic health records clinical notes and existing case review data.
METHODS: Safety Learning System case review data from 1 large health system composed of 10 hospitals in the mid-Atlantic region of the United States from February 2016 to September 2021 were analyzed. The case review outcome included opportunities for improvement including diagnostic opportunities for improvement. To supplement case review data, electronic health record clinical notes were extracted and analyzed. A simple logistic regression model along with 3 forms of logistic regression models (ie, Least Absolute Shrinkage and Selection Operator, Ridge, and Elastic Net) with regularization functions was trained on this data to compare classification performances in classifying patients who experienced diagnostic errors during hospitalization. Further, statistical tests were conducted to find significant differences between female and male patients who experienced diagnostic errors.
RESULTS: In total, 126 (7.4%) patients (of 1704) had been identified by case reviewers as having experienced at least 1 diagnostic error. Patients who had experienced diagnostic error were grouped by sex: 59 (7.1%) of the 830 women and 67 (7.7%) of the 874 men. Among the patients who experienced a diagnostic error, female patients were older (median 72, IQR 66-80 vs median 67, IQR 57-76; P=.02), had higher rates of being admitted through general or internal medicine (69.5% vs 47.8%; P=.01), lower rates of cardiovascular-related admitted diagnosis (11.9% vs 28.4%; P=.02), and lower rates of being admitted through neurology department (2.3% vs 13.4%; P=.04). The Ridge model achieved the highest area under the receiver operating characteristic curve (0.885), specificity (0.797), positive predictive value (PPV; 0.24), and F1-score (0.369) in classifying patients who were at higher risk of diagnostic errors among hospitalized patients.
CONCLUSIONS: Our findings demonstrate that natural language processing can be a potential solution to more effectively identifying and selecting potential diagnostic error cases for review and therefore reducing the case review burden.

OBJECTIVE: To analyse hospital case fatality and mortality related to Chagas disease (CD) in Brazil, 2000-2019.
METHODS: This is a mixed ecological study with spatial and temporal trends, based on national population data from the Brazilian Ministry of Health - hospital admissions (HA) and death certificates (DC). Records with CD as a primary or secondary cause of death in HA and/or as an underlying or associated cause of death in DC were evaluated. Temporal trends were analysed by Joinpoint regression and the spatial distribution of age- and gender-adjusted rates, spatial moving averages, and standardized morbidity ratios.
RESULTS: There were a total of 4,376 HA due to CD resulting in death in Brazil, with a hospital case fatality rate of 0.11/100,000 inhabitants. The Southeast region had the highest rate (63.9%, n = 2,796; 0.17/100,000 inhabitants). The general trend for this indicator in Brazil is upwards (average annual percentage change [AAPC] 7.5; 95% confidence interval [CI] 5.3 to 9.9), with increases in the North, Northeast and Southeast regions. During the same period 122,275 deaths from CD were registered in DC, with a mortality rate of 3.14/100,000 inhabitants. The highest risk of CD-related death was found among men (relative risk [RR] 1.27) and Afro-Brazilians (RR 1.63). There was a downward trend in CD mortality in the country (AAPC - 0.7%, 95%CI -0.9 to -0.5), with an increase in the Northeast region (AAPC 1.1%, 95%CI 0.6 to 1.6). Municipalities with a very high Brazilian Deprivation Index tended to show an increase in mortality (AAPC 2.1%, 95%CI 1.6 to 2.7), while the others showed a decrease.
CONCLUSIONS: Hospital case fatality and mortality due to CD are a relevant public health problem in Brazil. Differences related to gender, ethnicity, and social vulnerability reinforce the need for comprehensive care, and to ensure equity in access to health in the country. Municipalities, states, and regions with indicators that reveal higher morbidity and mortality need to be prioritized.

BACKGROUND: The kidneys are the genitourinary organs most susceptible to trauma. One case is high-grade kidney trauma that can lead to kidney failure, such as Polycystic Kidney Disease (PKD). Here, we report a case of high-grade kidney trauma on PKD.
METHODS: A 28-year-old man was involved in a traffic accident and was diagnosed with a left kidney rupture. There was minimal free fluid in the abdominal cavum and left pleural effusion. The results of USG in the left kidney showed a rupture in the posterior part of the cortex-medulla reaching the calyx, accompanied by a left posterior peri-renal hematoma and a PKD in the right kidney. In the CT scan examination, the hematoma extended to the lower left retroperitoneum and peripancreatic. The size of the left kidney was enlarged. In the right kidney, PKD was accompanied by an enlargement of the kidney size, but no rupture was obtained. Patient had been diagnosed with high-grade kidney trauma (AAST Grade IV). The patient was given conservative therapy. He was alive and discharged from the hospital.
UNASSIGNED: Non-operative management (NOM) is the standard in kidney trauma management, with good outcomes in preventing morbidity and mortality. The trend toward this procedure results in a decrease in the number of unnecessary nephrectomies and a potential improvement in the quality of patient inhalation. Ultrasound and CT scan examinations are important markers.
CONCLUSIONS: The management of high-grade kidney trauma on PKD can be carried out conservatively and show good patient outcomes.

BACKGROUND: Short-term exposure to particulate matter air pollution has been associated with the exacerbations of COPD, but its association with COPD mortality was not fully elucidated. We aimed to assess the association between short-term particulate matter exposure and the risk of COPD mortality in China using individual-level data.
METHODS: We derived 2.26 million COPD deaths from a national death registry database in Chinese mainland between 2013 and 2019. Exposures to fine particulate matter (PM2.5) and coarse particulate matter (PM2.5-10) were assessed by satellite-based models of a 1 × 1 km resolution and assigned to each individual based on residential address. The associations of PM2.5 and PM2.5-10 with COPD mortality were examined using a time-stratified case-crossover design and conditional logistic regressions with distributed lag models. We further conducted stratified analyses by age, sex, education level, and season.
RESULTS: Short-term exposures to both PM2.5 and PM2.5-10 were associated with increased risks of COPD mortality. These associations appeared and peaked on the concurrent day, attenuated and became nonsignificant after 5 or 7 days, respectively. The exposure-response curves were approximately linear without discernible thresholds. An interquartile range increase in PM2.5 and PM2.5-10 concentrations was associated with 4.23% (95% CI: 3.75%, 4.72%) and 2.67% (95% CI: 2.18%, 3.16%) higher risks of COPD mortality over lag 0-7 d, respectively. The associations of PM2.5 and PM2.5-10 attenuated slightly but were still significant in the mutual-adjustment models. A larger association of PM2.5-10 was observed in the warm season.
CONCLUSIONS: This individual-level, nationwide, case-crossover study suggests that short-term exposure to PM2.5 and PM2.5-10 might act as one of the environmental risk factors for COPD mortality.
BACKGROUND: This study is supported by the National Key Research and Development Program of China (2023YFC3708304 and 2022YFC3702701), the National Natural Science Foundation of China (82304090 and 82030103), the 3-year Action Plan for Strengthening the Construction of the Public Health System in Shanghai (GWVI-11.2-YQ31), and the Science and Technology Commission of Shanghai Municipality (21TQ015).

OBJECTIVE: Hip fractures are increasingly common among the elderly population, who often present with a high burden of comorbidities necessitating preoperative stabilization. As a result, preoperative cardiology consultations are frequently conducted in clinical practice. The aim of this study was to investigate the additional recommendations provided by preoperative cardiology consultations and the impact of consultations on the management and outcomes of elderly patients undergoing hip fracture surgery.
METHODS: This matched cohort study was performed to retrospectively assess the clinical data of patients who were treated for hip fractures at our institution between January 2016 and December 2017. Individuals who were 60 years old or older with available clinical and radiological data were included. A total of 262 patients who met these criteria were included, with 192 undergoing cardiology consultation and 70 not. Through matching for age, sex, ASA grade, fracture type, and surgery type, two groups (Group A, preoperative cardiology consultation requested; Group B, preoperative cardiology consultation not requested) of 50 patients each were formed. The duration between hospital admission and surgery, recommendations provided by cardiology consultation, type of anaesthesia and surgery, length of hospital stay, incidence of medical and orthopaedic complications, and one-year mortality status were compared between the groups.
RESULTS: The mean age of Group A was 78.5 (± 7.4) years, whereas that of Group B was 78.4 (± 7.4) years (p = 0.99). Both groups included 30 female patients and 20 male patients each. There were no significant differences in anaesthesia type or the incidence of medical or orthopaedic complications between the groups. However, Group A experienced a significantly longer duration between admission and surgery (5 [1/9] days vs. 3 [0/7] days; p = 0.00) and a longer hospital stay (7 [3/15] days vs. 5 [1/19] days; p = 0.01) than did Group B. The one-year mortality rate did not significantly differ between the groups (30% vs. 20%; p = 0.36). Notably, only 3 out of 50 patients received additional treatments following cardiology consultation beyond routine recommendations.
CONCLUSIONS: Preoperative cardiology consultations before hip fracture surgery rarely leads to a change in treatment. Additionally, these evaluations delay surgery and extend the hospital stay.

OBJECTIVE: To demonstrate applying American Association for Thoracic Surgery Quality Gateway (AQG) outcomes models to a Surgeon Case Study of quality assurance in adult cardiac surgery.
METHODS: The case study includes 6,989 cardiac and thoracic aorta operations performed in adults at Cleveland Clinic by one surgeon from 2001 to 2023. AQG models were used to predict expected probabilities for operative mortality and major morbidity, and to compare hospital outcomes, surgery type, risk profile, and individual risk-factor levels using virtual (digital) twin causal inference. These models were based on postoperative procedural outcomes after 52,792 cardiac operations performed in 19 hospitals of 3 high-performing hospital systems with overall hospital mortality of 2.0%, analyzed by advanced machine learning for rare events.
RESULTS: For individual surgeons, their patients, hospitals, and hospital systems, the Surgeon Case Study demonstrated that AQG provides expected outcomes across the entire spectrum of cardiac surgery, from single-component primary operations to complex multi-component reoperations. Actionable opportunities for quality improvement based on virtual twins is illustrated for patients, surgeons, hospitals, risk profile groups, operations, and risk factors vis-à-vis other hospitals.
CONCLUSIONS: Using minimal data collection and models developed using advanced machine learning, this case study shows that probabilities can be generated for operative mortality and major morbidity after virtually all adult cardiac operations. It demonstrates the utility of 21st century causal inference (virtual [digital] twin) tools for assessing quality for surgeons asking \"How am I doing?\" their patients asking \"What are my chances?\" and the profession asking \"How can we get better?\"

Peripartum cardiomyopathy (PPCM) poses a significant challenge in maternal health, characterized by heart failure with reduced ejection fraction during late pregnancy or early postpartum. Despite advances in understanding PPCM, it remains life-threatening with substantial maternal morbidity and mortality. This article reviews the epidemiology, etiology, diagnostic challenges, management strategies, and outcomes associated with PPCM. A case report of a 29-year-old woman with PPCM is presented, emphasizing the importance of early recognition and tailored management. The patient\'s presentation was marked by atypical symptoms, including dysuria, lumbar pain, persistent fever, and oral intake intolerance. Despite aggressive medical intervention, the patient experienced a tragic outcome, succumbing to cardiopulmonary arrest within 48 h of admission. This case underscores the challenges in diagnosing and managing PPCM, particularly when presenting with nonspecific symptoms and emphasizes the urgent need for improved diagnostic criteria and therapeutic interventions to mitigate adverse outcomes in affected individuals.