"Watering-Down" Strict HIV Testing Quotas on Chinese Men Who Have Sex with Men Community-Based Organizations.

The Chinese Center for Disease Control employs Community-Based Organizations (CBO) to conduct mass testing on "hidden" Men who have Sex with Men (MSM). Testing MSMs is intended to make risky bodies legible to the state and discipline the CBOs around narrow health goals. However, detailed ethnographic fieldwork with MSM CBOs in southwest China demonstrates that pressures to achieve HIV testing quotas produce the need to "water-down" or manipulate data. This distorts the identities and practices of MSMs from state surveillance and builds collusive partnerships between CBOs and low-level government officials to mitigate the disciplinary impacts of strict audits.

Quantitative myocardial T2 mapping adds value to Japanese circulation society diagnostic criteria for active cardiac sarcoidosis.

Noninvasive identification of active myocardial inflammation in patients with cardiac sarcoidosis plays a key role in management but remains elusive. T2 mapping is a proposed solution, but the added value of quantitative myocardial T2 mapping for active cardiac sarcoidosis is unknown. Retrospective cohort analysis of 56 sequential patients with biopsy-confirmed extracardiac sarcoidosis who underwent cardiac MRI for myocardial T2 mapping. The presence or absence of active myocardial inflammation in patients with CS was defined using a modified Japanese circulation society criteria within one month of MRI. Myocardial T2 values were obtained for the 16 standard American Heart Association left ventricular segments. The best model was selected using logistic regression. Receiver operating characteristic curves and dominance analysis were used to evaluate the diagnostic performance and variable importance. Of the 56 sarcoidosis patients included, 14 met criteria for active myocardial inflammation. Mean basal T2 value was the best performing model for the diagnosis of active myocardial inflammation in CS patients (pR2 = 0.493, AUC = 0.918, 95% CI 0.835-1). Mean basal T2 value > 50.8 ms was the most accurate threshold (accuracy = 0.911). Mean basal T2 value + JCS criteria was significantly more accurate than JCS criteria alone (AUC = 0.981 vs. 0.887, p = 0.017). Quantitative regional T2 values are independent predictors of active myocardial inflammation in CS and may add additional discriminatory capability to JCS criteria for active disease.

Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.

BACKGROUND: Airspace disease as seen on chest X-rays is an important point in triage for patients initially presenting to the emergency department with suspected COVID-19 infection. The purpose of this study is to evaluate a previously trained interpretable deep learning algorithm for the diagnosis and prognosis of COVID-19 pneumonia from chest X-rays obtained in the ED. METHODS: This retrospective study included 2456 (50% RT-PCR positive for COVID-19) adult patients who received both a chest X-ray and SARS-CoV-2 RT-PCR test from January 2020 to March of 2021 in the emergency department at a single U.S. INSTITUTION: A total of 2000 patients were included as an additional training cohort and 456 patients in the randomized internal holdout testing cohort for a previously trained Siemens AI-Radiology Companion deep learning convolutional neural network algorithm. Three cardiothoracic fellowship-trained radiologists systematically evaluated each chest X-ray and generated an airspace disease area-based severity score which was compared against the same score produced by artificial intelligence. The interobserver agreement, diagnostic accuracy, and predictive capability for inpatient outcomes were assessed. Principal statistical tests used in this study include both univariate and multivariate logistic regression. RESULTS: Overall ICC was 0.820 (95% CI 0.790-0.840). The diagnostic AUC for SARS-CoV-2 RT-PCR positivity was 0.890 (95% CI 0.861-0.920) for the neural network and 0.936 (95% CI 0.918-0.960) for radiologists. Airspace opacities score by AI alone predicted ICU admission (AUC = 0.870) and mortality (0.829) in all patients. Addition of age and BMI into a multivariate log model improved mortality prediction (AUC = 0.906). CONCLUSION: The deep learning algorithm provides an accurate and interpretable assessment of the disease burden in COVID-19 pneumonia on chest radiographs. The reported severity scores correlate with expert assessment and accurately predicts important clinical outcomes. The algorithm contributes additional prognostic information not currently incorporated into patient management.

The natural history of patients with compensated cirrhosis and elevated hepatic venous pressure gradient.

Aims: Portal hypertension is a major complication of liver cirrhosis. Hepatic venous pressure gradient (HVPG) appears to be one of the best surrogates of clinical outcomes. However, the utility of elevated HVPG in predicting subsequent clinical decompensation is unclear. Methods: We analyzed 410 patients who underwent HVPG assessment between 2014 and 2018. Of these, we identified and analyzed 20 patients with HVPG >12 mmHg without evidence of clinical decompensation (defined as ascites, non-bleeding esophageal varices or bleeding esophageal varices, hepatic encephalopathy, hepato-pulmonary syndrome, or hepatic hydrothorax). Additionally, we compared this group to 40 randomly selected cirrhotic patients with HVPG >12 mmHg with signs of clinical decompensation. Clinical events were subsequently assessed (mean = 33 months) after HVPG measurement. Results: Patients with high HVPG without evidence of clinical decompensation had significantly lower model for end stage liver disease (MELD) scores (8 ± 4) compared to decompensated patients (13 ± 8, P = 0.05). HVPG measurements were similar in compensated (17 ± 6 mmHg) and decompensated (18 ± 4 mmHg) patients. Over follow-up for 33 months, 8/20 compensated patients had a decompensating event and neither MELD (8 and 8, respectively) nor HVPG (17 mmHg and 18 mmHg, respectively) differentiated patients who remained compensated vs. those that decompensated. Serum albumin at the time of HVPG measurement was significantly higher in patients who remained compensated than those with a decompensating event (3.5 g/dL vs. 2.6 g/dL, respectively, P = 0.05). Conclusions: A small, unique, population of cirrhotic patients with substantially elevated HVPG appear to remain free of complications over long term follow-up.