o maximize coverage and intake adherence in programs using SQ-LNS.
 The enhanced IYCF-SQ-LNS intervention using the existing health care delivery platform was associated with a reduction in prevalence of anemia and improvement in mean hemoglobin. At endline among the subpopulation receiving ≥3 mo of SQ-LNS, their LAZ, WAZ, and hemoglobin improved. Future research could explore contextual tools to maximize coverage and intake adherence in programs using SQ-LNS.
  Hypertension remains a global health problem. Since, there is a significant positive correlation between antihypertensive medication adherence and blood pressure control, it is therefore of great importance to elucidate the determinants of adherence to antihypertensive medications among hypertensive patients.
 
  Hereby, we retrospectively analyzed the medical records of a hypertensive cohort recruited from a community hospital in Beijing, China, to investigate the factors affecting adherence to antihypertensive medications using decision trees. In addition, all data were assigned into a training set (75%) and testing set (25%) by the random number seed method to build and validate a compliance predictive model. We identified that how many times patients became nonadherent to antihypertensive medications in the year before the first prescription, types of antihypertensive drugs used in the year before the first prescription, body weight, smoking history, total number of hospital visits in the past year, total number of days of medication use in the year before enrollment, age, total number of outpatient follow-ups in the year after the first prescription, and concurrent diabetes greatly affected the compliance to antihypertensive medications.
 
  The compliance predictive model we built showed a 0.78 sensitivity and 0.69 specificity for the prediction of the compliance to antihypertensive medications, with an area under the representative operating characteristics curve of 0.810.
 
  Our data provide new insights into the improvements of the compliance to antihypertensive medications, which is beneficial for the management of hypertension, and the compliance predictive model may be used in community-based hypertension management.
 Our data provide new insights into the improvements of the compliance to antihypertensive medications, which is beneficial for the management of hypertension, and the compliance predictive model may be used in community-based hypertension management.BACKGROUND Acute kidney injury is one of the most common complications in patients infected with SARS-CoV-2, occurring in up to 7% of cases and increasing to 23% in patients treated in the Intensive Care Unit (ICU). The objective of this report was to describe the clinical case of a patient infected by SARS-CoV-2 who developed acute renal injury, probably secondary to this infection. CASE REPORT On 1 April 2020, a 65-year-old woman presented to the emergency service of the National Institute of Respiratory Diseases, Mexico City, with a 15-day history of dry cough and subjective fever. Finally, the following diagnoses were integrated Acute renal injury of etiology to be determined (acute chronic kidney disease secondary to T2DM vs. acute renal injury by SARS-CoV-2) and COVID-19. The patient had a typical presentation of severe COVID-19, evidencing all the risk and severity factors for this disease. However, after being admitted to the hospital, she showed evidence of acute renal injury. Although the renal injury may have been due to microangiopathic damage caused by chronic hypertension and diabetes, it is imperative to consider the possibility that such exacerbation contributes to SARS-CoV-2 infection or synergy of multiple factors. CONCLUSIONS Every aspect of this pandemic remains unclear. The formulation of hypotheses to explain the physiopathological mechanisms by which this new virus can cause mortality in infected patients may help reduce mortality rates and control the pandemic itself.BACKGROUND The aim of this study was to identify accurate prognostic factors for postoperative papillary thyroid adenocarcinoma (PTAC) using a competing-risks model based on data from the Surveillance, Epidemiology, and End Results (SEER) database. MATERIAL AND METHODS Data on patients with PTAC who had received surgery between 2010 and 2015 in the SEER database were extracted. A univariate analysis was performed while considering competing risks using the cumulative incidence function, with Nelson-Aalen cumulative risk curves of the incidence function for PTAC-specific death were calculated and then compared between 2 groups using Gray's test. To identify the factors that affect the cumulative incidence of PTAC-specific death, a multivariate analysis using the Fine-Gray model was performed. RESULTS The 8324 eligible surgical PTAC patients included 101 patients who died from PTAC and 129 patients who died from other causes. The univariate Gray's test revealed that the cumulative incidence rate for events of interest was significantly affected (P less then 0.05) by age, sex, marital status, metastasis, differentiation grade, American Joint Committee on Cancer (AJCC) stage, radiation status, chemotherapy status, regional lymph nodes removal, and tumor size. Multivariate competing-risks analyses showed that age, sex, metastasis, differentiation grade, radiation status, chemotherapy status, and tumor size were independent risk factors for the postoperative prognosis of PTAC patients (P less then 0.05). The results of multivariate Cox regression were different, with marital status also appearing as an independent risk factor. CONCLUSIONS This study established a competing-risks analysis model to evaluate the risk factors of surgical PTAC patients. Our findings may be useful for improving patient prognoses and decision-making when providing individualized treatments.
  Some research has indicated that SARS-CoV-2 has had effects on the various functions of the renal system. Acute kidney injury (AKI) is a dangerous and broadly spread pathological illness.
 
  In this review, we emphasize that AKI can be a severe complication of COVID-19 and highlight the importance of assessing, defining, and reporting the course of AKI.
 
  The research team performed a literature review, searching relevant literature databases. We searched four databases, PubMed, EMBASE, Web of Science and CNKI (Chinese Database), to identify studies reporting COVID-19. Articles published on or before May 10, 2020 were eligible for inclusion. We used the following search terms "Coronavirus" or "2019-nCoV" or "COVID-19" or "AKI" or "renal failure" or "nephrology".
 
  This study was take place at Jouf University, Sakaka, Al-Jouf, Saudi Arabia.
 
  The review showed that AKI patients, who were susceptible to a cytokine storm, showed clinical deterioration.  https://www.selleckchem.com/products/Y-27632.html  This result allowed the current research team to develop a hypothesis of a set of adverse events in COVID-19 that proposes the modification of inflammatory pathways by stimulation of nAChRα7.