Developing an Evidence-Based Ethics Education Program for Surgical Residents in Guatemala.

OBJECTIVE: This study assessed 2 modalities for teaching responsible conduct of research and human subjects protection (RCR/HSP) to surgical residents in Guatemala-an "off the shelf" online curriculum and a new in-person curriculum specific to the local context. METHODS: In 2018, 160 surgical residents in 3 large urban hospitals in Guatemala City completed 2 online programs in RCR/HSP. Residents in the intervention arm also completed 7 weeks of in-person training. Pre- and post-assessments tested awareness of key concepts with particular attention to international and Guatemalan research regulations. Group differences in matched (pre- and post-) mean scores were analyzed using t-tests. RESULTS: One hundred forty residents completed pre- and post-training assessments and were included in the analytic sample. Overall mean scores improved modestly from 52.7 to 58.7 points out of 100. Intervention-arm trainees reported greater confidence in recognizing ethical issues, understanding legal and ethical requirements for research, and identifying, reporting and avoiding scientific misconduct than control-arm trainees. CONCLUSION: Given the limited availability of RCR/HSP faculty, financial resources, and time in the surgical training schedule, the investigators recommend that academic authorities in Guatemala consider online training programs in RCR/HSP in all surgical residency programs as an affordable and scalable strategy to build ethical research skills in its surgical workforce. Investment in human resources to support in-person ethics education as a way to build self-efficacy in ethical decision-making should be considered.

[COVID-19 pandemic impact on primary care emergency services activity: Comparative study between 2019 and 2020 periods]. / Impacto de la pandemia de la COVID-19 en la actividad de los servicios de urgencias de atención primaria: estudio comparativo entre periodos de 2019 y 2020.

OBJECTIVE: To compare the care provided by primary care emergency services during the COVID19 lockdown (March-June 2020) and the same period in 2019. DESIGN: Retrospective descriptive study. SETTING: Basic Health Area of Granada. POPULATION: 10.790 emergency reports, 3.319 in 2020 and 7.471 in 2019. OUTCOMES: Age, sex, service, shifts, referrals, priority levels, care times, previous processes, and reasons for consultation. T-Student and Chi Square were used for continuous and categorical variables. Effect size (Cohen's d) and OR along with 95% CI were calculated. RESULTS: The patients attended by primary care emergency services decreased in 2020 compared to 2019, but the percentage of Priority V cases (p<0.01), home discharges (p=0.01) and hospital transfers (p<0.01) increased, and referrals to family doctors (p<0.01) decreased. In 2020, the percentage of emergencies at night (p<0.01) and in low-income neighborhoods (p<0.01) increased. Waiting time for classification decreased (p<0.01), but total care time increased in 2020 (p<0.01). The patients seen in 2020 were older (p<.001), and with a greater number of previous processes (p<0.01), highlighting patients with anxiety, depression, or somatization (p<0.01) and diabetes (p=0.041). Consultations related to various symptoms of COVID19, mental health problems and chronic pathologies increased. CONCLUSIONS: Primary care emergency services offer additional advantages in situations such as the COVID19 pandemic, as they allow channeling part of the health demand.

Evaluation of a diagnostic device, CL Detect rapid test for the diagnosis of new world cutaneous leishmaniasis in Peru.

BACKGROUND: Cutaneous leishmaniasis (CL) is a neglected disease and a public health problem in Latin America. The diagnosis of CL in poor hyperendemic regions relies to large extent on the identification of amastigotes in Giemsa-stained smears. There is an urgent need for a rapid, sensitive and low cost diagnostic method for use in field conditions for CL as current modalities are not readily available. The primary objective of this study was to determine the sensitivity and specificity of the FDA-cleared CL Detect Rapid Test in Peru, using modified test procedures rather than the instructions-for-use, by 1) increasing the extraction time and 2) increasing the volume of the sample added to the test strip. CL Detect Rapid Test results were compared against microscopy and kDNA-PCR, for the diagnosis of CL in ulcerated lesions. In addition, we compared two collection methods the dental broach used and mentioned in the CL Detect insert and the standard less invasive and easier to conduct scrapping method. METHODOLOGY: Participants were patients who presented for medical consultation due to a suspected CL lesion. Four samples from the index lesion were collected using a dental broach, per package insert, and lancet scraping and tested by the modified CL Detect Rapid Test, microscopy, and PCR. PRINCIPAL FINDINGS: A total of 156 subjects were eligible and evaluated. The modified CL Detect sensitivity was higher in specimens obtained by scraping (83.3%) than those from dental broach (64.2%). The specificity was lower in scrapings (77.8%) with a false positive rate of 22.2% compared with dental broach samples (91.7%) with a false positive rate of 8.3%. However, molecular analysis showed that all 8 false negative microscopy scrapings (those positive by modified CL Detect and negative by microscopy) were positive by kDNA-PCR, meaning that the modified CL Detect was more sensitive than microscopy. CONCLUSIONS: These modifications to the package insert that resulted in a diagnostic sensitivity (83.3%) comparable to microscopy for species found in Peru may enable earlier anti-leishmanial drug treatment decisions based on a positive result from the CL Detect Rapid Test alone until further diagnostic tests like microscopy and PCR can be performed. TRIAL REGISTRATION: NCT03762070; Clinicaltrials.gov.

A SHA-256 Hybrid-Redundancy Hardware Architecture for Detecting and Correcting Errors.

In emergent technologies, data integrity is critical for message-passing communications, where security measures and validations must be considered to prevent the entrance of invalid data, detect errors in transmissions, and prevent data loss. The SHA-256 algorithm is used to tackle these requirements. Current hardware architecture works present issues regarding real-time balance among processing, efficiency and cost, because some of them introduce significant critical paths. Besides, the SHA-256 algorithm itself considers no verification mechanisms for internal calculations and failure prevention. Hardware implementations can be affected by diverse problems, ranging from physical phenomena to interference or faults inherent to data spectra. Previous works have mainly addressed this problem through three kinds of redundancy: information, hardware, or time. To the best of our knowledge, pipelining has not been previously used to perform different hash calculations with a redundancy topic. Therefore, in this work, we present a novel hybrid architecture, implemented on a 3-stage pipeline structure, which is traditionally used to improve performance by simultaneously processing several blocks; instead, we propose using a pipeline technique for implementing hardware and time redundancies, analyzing hardware resources and performance to balance the critical path. We have improved performance at a certain clock speed, defining a data flow transformation in several sequential phases. Our architecture reported a throughput of 441.72 Mbps and 2255 LUTs, and presented an efficiency of 195.8 Kbps/LUT.

Theoretical Approach for the Luminescent Properties of Ir(III) Complexes to Produce Red-Green-Blue LEC Devices.

With an appropriate mixture of cyclometalating and ancillary ligands, based on simple structures (commercial or easily synthesized), it has been possible to design a family of eight new Ir(III) complexes (1A, 1B, 2B, 2C, 3B, 3C, 3D and 3E) useful as luminescent materials in LEC devices. These complexes involved the use of phenylpyridines or fluorophenylpyridines as cyclometalating ligands and bipyridine or phenanthroline-type structures as ancillary ligands. The emitting properties have been evaluated from a theoretical approach through Density Functional Theory and Time-Dependent Density Functional Theory calculations, determining geometric parameters, frontier orbital energies, absorption and emission energies, injection and transport parameters of holes and electrons, and parameters associated with the radiative and non-radiative decays. With these complexes it was possible to obtain a wide range of emission colours, from deep red to blue (701-440 nm). Considering all the calculated parameters between all the complexes, it was identified that 1B was the best red, 2B was the best green, and 3D was the best blue emitter. Thus, with the mixture of these complexes, a dual host-guest system with 3D-1B and an RGB (red-green-blue) system with 3D-2B-1B are proposed, to produce white LECs.

Trade-Off Analysis of Hardware Architectures for Channel-Quality Classification Models.

The latest generation of communication networks, such as SDVN (Software-defined vehicular network) and VANETs (Vehicular ad-hoc networks), should evaluate their communication channels to adapt their behavior. The quality of the communication in data networks depends on the behavior of the transmission channel selected to send the information. Transmission channels can be affected by diverse problems ranging from physical phenomena (e.g., weather, cosmic rays) to interference or faults inherent to data spectra. In particular, if the channel has a good transmission quality, we might maximize the bandwidth use. Otherwise, although fault-tolerant schemes degrade the transmission speed by solving errors or failures should be included, these schemes spend more energy and are slower due to requesting lost packets (recovery). In this sense, one of the open problems in communications is how to design and implement an efficient and low-power-consumption mechanism capable of sensing the quality of the channel and automatically making the adjustments to select the channel over which transmit. In this work, we present a trade-off analysis based on hardware implementation to identify if a channel has a low or high quality, implementing four machine learning algorithms: Decision Trees, Multi-Layer Perceptron, Logistic Regression, and Support Vector Machines. We obtained the best trade-off with an accuracy of 95.01% and efficiency of 9.83 Mbps/LUT (LookUp Table) with a hardware implementation of a Decision Tree algorithm with a depth of five.

An SHA-3 Hardware Architecture against Failures Based on Hamming Codes and Triple Modular Redundancy.

Cryptography has become one of the vital disciplines for information technology such as IoT (Internet Of Things), IIoT (Industrial Internet Of Things), I4.0 (Industry 4.0), and automotive applications. Some fundamental characteristics required for these applications are confidentiality, authentication, integrity, and nonrepudiation, which can be achieved using hash functions. A cryptographic hash function that provides a higher level of security is SHA-3. However, in real and modern applications, hardware implementations based on FPGA for hash functions are prone to errors due to noise and radiation since a change in the state of a bit can trigger a completely different hash output than the expected one, due to the avalanche effect or diffusion, meaning that modifying a single bit changes most of the desired bits of the hash; thus, it is vital to detect and correct any error during the algorithm execution. Current hardware solutions mainly seek to detect errors but not correct them (e.g., using parity checking or scrambling). To the best of our knowledge, there are no solutions that detect and correct errors for SHA-3 hardware implementations. This article presents the design and a comparative analysis of four FPGA architectures: two without fault tolerance and two with fault tolerance, which employ Hamming Codes to detect and correct faults for SHA-3 using an Encoder and a Decoder at the step-mapping functions level. Results show that the two hardware architectures with fault tolerance can detect up to a maximum of 120 and 240 errors, respectively, for every run of KECCAK-p, which is considered the worst case. Additionally, the paper provides a comparative analysis of these architectures with other works in the literature in terms of experimental results such as frequency, resources, throughput, and efficiency.

Genomic analysis of virulence factors and antimicrobial resistance of group B Streptococcus isolated from pregnant women in northeastern Mexico.

INTRODUCTION: Group B Streptococcus (GBS) causes infections in women during pregnancy and puerperium and invasive infections in newborns. The genes lmb, cylE, scpB, and hvgA are involved with increased virulence of GBS, and hypervirulent clones have been identified in different regions. In addition, increasing resistance of GBS to macrolides and lincosamides has been reported, so knowing the patterns of antibiotic resistance may be necessary to prevent and treat GBS infections. This study aimed to identify virulence genes and antibiotic resistance associated with GBS colonization in pregnant women from northeastern Mexico. METHODS: Pregnant women with 35-37 weeks of gestation underwent recto-vaginal swabbing. One swab was inoculated into Todd-Hewitt broth supplemented with gentamicin and nalidixic acid, a second swab was inoculated into LIM enrichment broth, and a third swab was submerged into a transport medium. All samples were subcultured onto blood agar. After overnight incubation, suggestive colonies with or without hemolysis were analyzed to confirm GBS identification by Gram staining, catalase test, hippurate hydrolysis, CAMP test, and incubation in a chromogenic medium. We used latex agglutination to confirm and serotype GBS isolates. Antibiotic resistance patterns were assessed by Vitek 2 and disk diffusion. Periumbilical, rectal and nasopharyngeal swabs were collected from some newborns of colonized mothers. All colonized women and their newborns were followed up for three months to assess the development of disease attributable to GBS. Draft genomes of all GBS isolates were obtained by whole-genome sequencing. In addition, bioinformatic analysis to identify genes encoding capsular polysaccharides and virulence factors was performed using BRIG, while antibiotic resistance genes were identified using the CARD database. RESULTS: We found 17 GBS colonized women out of 1154 pregnant women (1.47%). None of the six newborns sampled were colonized, and no complications due to GBS were detected in pregnant women or newborns. Three isolates were serotype I, 5 serotype II, 3 serotype III, 4 serotype IV, and 2 serotype V. Ten distinct virulence gene profiles were identified, being scpB, lmb, fbsA, acp, PI-1, PI-2a, cylE the most common (3/14, 21%). The virulence genes identified were scpB, lmb, cylE, PI-1, fbsA, PI-2a, acp, fbsB, PI-2b, and hvgA. We identified resistance to tetracycline in 65% (11/17) of the isolates, intermediate susceptibility to clindamycin in 41% (7/17), and reduced susceptibility to ampicillin in 23.5% (4/17). The tetM gene associated to tetracyclines resistance was found in 79% (11/14) and the mel and mefA genes associated to macrolides resistance in 7% (1/14). CONCLUSIONS: The low prevalence of colonization and the non-occurrence of mother-to-child transmission suggest that the intentional search for GBS colonization in this population is not justified. Our results also suggest that risk factors should guide the use of intrapartum antibiotic prophylaxis. The detection of strains with genes coding virulence factors means that clones with pathogenic potential circulates in this region. On the other hand, the identification of decreased susceptibility to antibiotics from different antimicrobial categories shows the importance of adequately knowing the resistance patterns to prevent and to treat GBS perinatal infection.

Manipulation of Majorana bound states in proximity to a quantum ring with Rashba coupling.

The quest for Majorana zero modes in the laboratory is an active field of research in condensed matter physics. In this regard, there have been many theoretical proposals; however, their experimental detection remains elusive. In this article, we present a realistic setting by considering a quantum ring with Rashba spin-orbit coupling and threaded by a magnetic flux, in contact with a topological superconducting nanowire. We focus on spin-polarized persistent currents to assess the existence of Majorana zero modes. We find that the Rashba spin-orbit coupling allows for tuning the position of the zero energy crossings in the flux parameter space and has sizable effects on spin-polarized persistent currents. We believe that our results will contribute towards probing the existence of Majorana zero modes.

CMOS Implementation of ANNs Based on Analog Optimization of N-Dimensional Objective Functions.

The design of neural network architectures is carried out using methods that optimize a particular objective function, in which a point that minimizes the function is sought. In reported works, they only focused on software simulations or commercial complementary metal-oxide-semiconductor (CMOS), neither of which guarantees the quality of the solution. In this work, we designed a hardware architecture using individual neurons as building blocks based on the optimization of n-dimensional objective functions, such as obtaining the bias and synaptic weight parameters of an artificial neural network (ANN) model using the gradient descent method. The ANN-based architecture has a 5-3-1 configuration and is implemented on a 1.2 µm technology integrated circuit, with a total power consumption of 46.08 mW, using nine neurons and 36 CMOS operational amplifiers (op-amps). We show the results obtained from the application of integrated circuits for ANNs simulated in PSpice applied to the classification of digital data, demonstrating that the optimization method successfully obtains the synaptic weights and bias values generated by the learning algorithm (Steepest-Descent), for the design of the neural architecture.

RootLogChain: Registering Log-Events in a Blockchain for Audit Issues from the Creation of the Root.

Logging system activities are required to provide credibility and confidence in the systems used by an organization. Logs in computer systems must be secured from the root user so that they are true and fair. This paper introduces RootLogChain, a blockchain-based audit mechanism that is built upon a security protocol to create both a root user in a blockchain network and the first log; from there, all root events are stored as logs within a standard blockchain mechanism. RootLogChain provides security constructs so as to be deployed in a distributed context over a hostile environment, such as the internet. We have developed a prototype based on a microservice architecture, validating it by executing different stress proofs in two scenarios: one with compliant agents and the other without. In such scenarios, several compliant and non-compliant agents try to become a root and register the events within the blockchain. Non-compliant agents simulate eavesdropper entities that do not follow the rules of the protocol. Our experiments show that the mechanism guarantees the creation of one and only one root user, integrity, and authenticity of the transactions; it also stores all events generated by the root within a blockchain. In addition, for audit issues, the traceability of the transaction logs can be consulted by the root.

Diagnostic Efficacy of Recombinase-Polymerase-Amplification Coupled with Lateral Flow Strip Reading in Patients with Cutaneous Leishmaniasis from the Amazonas Rainforest of Perú.

Cutaneous leishmaniasis (CL) is highly prevalent in rural and sylvatic regions of Latin America, with an estimated 55,000 annual cases. Diagnosis in resource-limited areas still relies on microscopy of dermal scrapings, while more sensitive methods like PCR are not attainable due to costs and lack of adequate health infrastructure. Isothermal amplification of Leishmania DNA can be performed without sophisticated equipment and training and may become a point of care (POC) test for health care centers with scarce resources. We evaluated the efficacy of recombinase-polymerase-amplification (RPA-LF) to diagnose CL in 226 patients attending a clinic in Puerto Maldonado within the Peruvian Amazon basin. Conventional PCR targeting kinetoplast DNA (kDNA-PCR) was used as the gold standard. Eight of 226 patients were considered true negatives (microscopy, kDNA-PCR, and RPA-LF negative), while RPA-LF resulted positive in 186 of 204 kDNA-PCR positive patients, yielding 91.2% (confidence interval [CI] = 86.5-94.4%) sensitivity and 93% (CI 88.6-95.8%) positive predictive value. There were 14% (32/226) discrepant samples alternating positive and negative results in similar proportions between both tests. Quantitative PCR used to resolve the discrepancies suggested that they occurred in samples with scarce parasite numbers as determined by high cycle threshold (Ct) values (≥32; cutoff 35.5). Microscopy had the lowest sensitivity of all methods (45.4%). Nested real-time PCR performed in 71 samples determined that Leishmania (Viannia) braziliensis was highly prevalent (69/71), and Leishmania (Viannia) lainsoni was present in only two isolates. Results indicated that RPA-LF has POC potential for CL endemic areas, yet further simplification and optimization coupled with field validation will be necessary to confirm its broad applicability.

Hybrid Pipeline Hardware Architecture Based on Error Detection and Correction for AES.

Currently, cryptographic algorithms are widely applied to communications systems to guarantee data security. For instance, in an emerging automotive environment where connectivity is a core part of autonomous and connected cars, it is essential to guarantee secure communications both inside and outside the vehicle. The AES algorithm has been widely applied to protect communications in onboard networks and outside the vehicle. Hardware implementations use techniques such as iterative, parallel, unrolled, and pipeline architectures. Nevertheless, the use of AES does not guarantee secure communication, because previous works have proved that implementations of secret key cryptosystems, such as AES, in hardware are sensitive to differential fault analysis. Moreover, it has been demonstrated that even a single fault during encryption or decryption could cause a large number of errors in encrypted or decrypted data. Although techniques such as iterative and parallel architectures have been explored for fault detection to protect AES encryption and decryption, it is necessary to explore other techniques such as pipelining. Furthermore, balancing a high throughput, reducing low power consumption, and using fewer hardware resources in the pipeline design are great challenges, and they are more difficult when considering fault detection and correction. In this research, we propose a novel hybrid pipeline hardware architecture focusing on error and fault detection for the AES cryptographic algorithm. The architecture is hybrid because it combines hardware and time redundancy through a pipeline structure, analyzing and balancing the critical path and distributing the processing elements within each stage. The main contribution is to present a pipeline structure for ciphering five times on the same data blocks, implementing a voting module to verify when an error occurs or when output has correct cipher data, optimizing the process, and using a decision tree to reduce the complexity of all combinations required for evaluating. The architecture is analyzed and implemented on several FPGA technologies, and it reports a throughput of 0.479 Gbps and an efficiency of 0.336 Mbps/LUT when a Virtex-7 is used.

Colestasis intrahepática del embarazo Un reto más para la obstetricia / Intrahepatic Cholestasis of Pregnancy. One More Challenge for Obstetrics

Resumen: La colestasis intrahepática del embarazo es el trastorno hepático específico más común durante la gestación; es una condición multifactorial que aparece en mujeres genéticamente susceptibles. Se caracteriza principalmente por prurito palmo-plantar de predominio nocturno, su importancia radica en su considerable morbimortalidad fetal y aunque su tratamiento es sencillo, se debe diagnosticar. Objetivo: Realizar una revisión actualizada y a detalle de la bibliografía nacional e internacional de la etiología, las pruebas diagnósticas, tratamiento, resultados perinatales y su asociación con otras patologías del embarazo. Metodología: Se realizó una búsqueda de la literatura publicada en inglés y en español en bases de datos como PubMed / MEDLINE, Ovid, MD Consult, entre otras, utilizando las palabras clave: colestasis intrahepática del embarazo, etiología, diagnóstico, tratamiento, efectos adversos perinatales, preeclampsia, embarazo múltiple. De la información obtenida se seleccionaron 64 artículos, los cuales fueron clasificados y utilizados como soporte para realizar esta revisión. Resultados: Se aporta una actualización en cuanto al diagnóstico y tratamiento de esta enfermedad para actuar como guía clínica a los profesionales de la salud. Conclusión: Esta enfermedad es una entidad importante de diagnosticar para evitar los efectos adversos fetales que implica, la principal limitación es la carencia de determinación de niveles de ácidos biliares séricos en nuestro país, por lo tanto, la sospecha clínica se convierte en la herramienta más factible para su diagnóstico e inicio oportuno de tratamiento.

Abstract: Intrahepatic cholestasis of pregnancy is the most common specific liver disorder during pregnancy, it is a multifactorial condition that appears in genetically susceptible women and it is mainly characterized by palmoplantar itching predominantly at night. Its importance lies in the considerable fetal morbidity and mortality. Although the treatment is simple, we must know how to make the diagnosis. Objective: To carry out an updated and detailed review of the national and international bibliography of etiology, diagnostic tests, treatment, perinatal results, and their association with other pregnancy pathologies. Methodology: A search of the literature published in English and Spanish was conducted in databases such as PubMed / MEDLINE, Ovid, MD Consult, and others, using the keywords: intrahepatic cholestasis of pregnancy, etiology, diagnosis, treatment, perinatal adverse effects, preeclampsia, tween pregnancy. 64 articles were selected from the obtained, which were classified and used as support to carry out this review. Results: An update regarding the diagnosis and treatment of this disease is provided, to act as a clinical guide for healthcare professionals. Conclusion: This disease is an important entity to diagnose in order to avoid the fetal adverse effects that implies. The main limitation is the lack of determination of serum bile acid levels in our country, therefore, clinical suspicion becomes the most useful tool for diagnosis and early treatment.

A Metaheuristic Optimization Approach for Parameter Estimation in Arrhythmia Classification from Unbalanced Data.

The electrocardiogram records the heart's electrical activity and generates a significant amount of data. The analysis of these data helps us to detect diseases and disorders via heart bio-signal abnormality classification. In unbalanced-data contexts, where the classes are not equally represented, the optimization and configuration of the classification models are highly complex, reflecting on the use of computational resources. Moreover, the performance of electrocardiogram classification depends on the approach and parameter estimation to generate the model with high accuracy, sensitivity, and precision. Previous works have proposed hybrid approaches and only a few implemented parameter optimization. Instead, they generally applied an empirical tuning of parameters at a data level or an algorithm level. Hence, a scheme, including metrics of sensitivity in a higher precision and accuracy scale, deserves special attention. In this article, a metaheuristic optimization approach for parameter estimations in arrhythmia classification from unbalanced data is presented. We selected an unbalanced subset of those databases to classify eight types of arrhythmia. It is important to highlight that we combined undersampling based on the clustering method (data level) and feature selection method (algorithmic level) to tackle the unbalanced class problem. To explore parameter estimation and improve the classification for our model, we compared two metaheuristic approaches based on differential evolution and particle swarm optimization. The final results showed an accuracy of 99.95%, a F1 score of 99.88%, a sensitivity of 99.87%, a precision of 99.89%, and a specificity of 99.99%, which are high, even in the presence of unbalanced data.

Use of drains and post-operative complications in secondary peritonitis for complicated acute appendicitis at a national hospital.

INTRODUCTION: Acute appendicitis is the main cause of emergency surgical care. Post-operative patients with complicated acute appendicitis present complications, many of them expected. The use of drains is one of the measures to prevent these complications; however, recent meta-analyzes do not justify this therapeutic measure. This study evaluates the relationship between use and non-use of drains, post-operative complications in patients with complicated peritonitis secondary to acute appendicitis. METHODS: A retrospective observational cohort study was conducted. The outcomes were analyzed by Chi-square test and Student's t-test; Fisher exact test was performed. RESULTS: The average operating time was 1.46 h (1.0-2.5) and 1.66 (1-3) for patients without drains and with drains, respectively, the difference was significant (p = 0.001). Post-operative fever was more prevalent in group with a drains odds ratio (OR) 3.4 (confidence interval [CI] 95% 1.4-7.9). The mean time of hospitalization was 7.3 (3-20) and 8.8 days (3-35) for patients without drains and with drains, respectively. (p = 0.01). The Chi-square analysis was significant for evisceration Grade III and residual collection p = 0.036, OR not evaluable. Reoperation was not significant among both groups, p = 0.108 OR 6.3 (CI 95% 0.6-62.4). CONCLUSIONS: There is a relationship between the non-use of drains and collections and evisceration in post-operative patients with open appendectomy, by complicated acute appendicitis.

ANTECEDENTES: La apendicitis aguda es la principal causa de emergencia quirúrgica. Los pacientes posoperados de apendicitis aguda complicada presentan complicaciones, muchas de ellas esperadas. El uso de drenajes es una de las medidas para prevenir estas complicaciones; sin embargo, recientes metaanálisis no justifican esta medida terapéutica. Este estudio evalúa la relación del uso o no uso de drenajes con las complicaciones en los pacientes con peritonitis secundaria a apendicitis aguda. MÉTODO: Se realizó un estudio de cohorte observacional retrospectivo. Los resultados se analizaron mediante la prueba de ji al cuadrado, la prueba t de Student y la prueba exacta de Fisher. RESULTADOS: El tiempo operatorio promedio fue de 1.46 horas (rango: 1.0-2.5 h) y de 1.66 horas (rango: 1-3 h) para pacientes sin drenajes y con drenajes, respectivamente; la diferencia fue significativa (p = 0.001). La fiebre posoperatoria fue más prevalente en el grupo con drenajes (odds ratio [OR]: 3,4; intervalo de confianza [IC] del 95%: 1,4-7,9). El tiempo promedio de hospitalización fue de 7.3 días (rango: 3-20 días) y de 8.8 días (rango: 3-35 días) para los pacientes sin y con drenajes, respectivamente (p = 0.01). La prueba de ji al cuadrado fue significativa para evisceración de grado III más colección residual (p = 0.036; OR no evaluable). Las tasas de reoperación no fueron significativamente diferentes entre ambos grupos (p = 0.108; OR: 6.3; IC 95%: 0.6-62.4). CONCLUSIONES: Existe relación entre la no utilización de drenajes y la presencia de colecciones y evisceración en pacientes posoperados con apendicetomía abierta por apendicitis aguda complicada.

Genetic alterations of triple negative breast cancer (TNBC) in women from Northeastern Mexico.

Triple negative breast cancer (TNBC) is a subtype of breast cancer of heterogeneous nature that is negative for estrogen receptor (ER), progesterone receptor (PR) and growth factor human epidermal 2 (HER2) following immunohistochemical analysis. TNBC is frequently characterized by relapse and reduced survival. To date, there is no targeted therapy for this type of cancer. Chemotherapy, radiotherapy, and surgery remain as the standard treatments options. The lack of a target therapy and the heterogeneity of TNBC highlight the need to seek new therapeutic options. In this study, fresh tissue samples of TNBC were analyzed with a panel of 48 driver genes (212 amplicons) that are likely to be therapeutic targets. We found intron variants, missense, stop gained and splicing variants in TP53, PIK3CA and FLT3 genes. Interestingly, all the analyzed samples had at least two variants in the TP53 gene, one being a drug response variant, rs1042522, found in 94% of our samples. We also found seven additional variants not previously reported in the TP53 gene, to the best of our knowledge, with probable deleterious characteristics of the tumor suppressor gene. We found four genetic variants in the PIK3CA gene, including two missense variants. The rs2491231 variant in the FLT3 gene was identified in 84% (16/19) of the samples, which not yet reported for TNBC, to the best of our knowledge. In conclusion, genetic variants in TP53 were found in all TNBC tumors, with rs1042522 being the most frequent (94% of TNBC biopsies), which had not been previously reported in TNBC. Also, we found two missense variants in the PIK3CA gene. These results justify the validation of these genetic variants in a large cohort, as well as the extensive study of their impact on the prognosis and therapy management of TBNC.

El intento suicida en el Hospital Mahaicony, Guyana / Suicide attempt at Mahaicony Hospital, Guyana

Introducción: en la República Cooperativa de Guyana, la conducta suicida constituye un serio problema de salud, con una tasa anual de 44 suicidios por 100 000 habitantes, especialmente en la Región 5. Objetivo: describir el comportamiento del intento suicida en pacientes atendidos en un hospital guyanés. Método: se realizó un estudio de serie de casos, mediante el análisis de las hojas de cargo del servicio de emergencias y de las historias clínicas de 28 pacientes con intentos suicidas, atendidos en el Hospital Mahaicony, Guyana, durante el período enero-junio del 2015. Resultados: el grupo etario más afectado fue entre 10 y 29 años para un 67,86%, sin diferencias significativas entre mujeres y hombres con 53,57% vs. 46,43% respectivamente. Los individuos de ascendencia india incidieron hasta un 71,43%; seguido por la africana con 21,43%; y los mixtos con 7,14%. El grado de escolaridad predominante el alfabetizado con un 64,29% y el método de ingestión de sustancias tóxicas alcanzó un 92,86%, seguido por la toma de tabletas con 7,14%. Conclusiones: en esta región, el intento suicida es un problema de salud, por lo que se deben adoptar estrategias encaminadas a reducirlo, mediante la identificación y el control de los factores de riesgo. .

Introduction: suicidal behavior constitutes a serious health problem in the Cooperative Republic of Guyana with an average annual rate of 44 suicides per 100 000 inhabitants. Objective: to describe suicide attempts occurred at a Guyanese hospital. Method: a case series study based on emergency service charge sheets and medical records of 28 suicide attempts, attended at the Mahaicony Hospital, Guyana, from January to June, 2015. Results: the age group from 10 to 29 was the most affected with 67.86%, without significant differences between women and men 53.57% and 46.43% each. Indians descendants represented 71.43%; followed by Africans with 21.43% and mixtures showed a 7.14%. Literacy was the predominant level of education up to 64.29% and the ingestion of toxic substances up to 92.86% was the leading method, followed by the ingestion of tablets with 7.14%. Conclusions: suicide attempt is a health problem in this region, so strategies to identify and control the risk factors are the key for reducing its incidence.

Prevalence of and Factors Associated with Negative Microscopic Diagnosis of Cutaneous Leishmaniasis in Rural Peru.

Cutaneous leishmaniasis is endemic to South America where diagnosis is most commonly conducted via microscopy. Patients with suspected leishmaniasis were referred for enrollment by the Ministry of Health (MoH) in Lima, Iquitos, Puerto Maldonado, and several rural areas of Peru. A 43-question survey requesting age, gender, occupation, characterization of the lesion(s), history of leishmaniasis, and insect-deterrent behaviors was administered. Polymerase chain reaction (PCR) was conducted on lesion materials at the Naval Medical Research Unit No. 6 in Lima, and the results were compared with those obtained by the MoH using microscopy. Factors associated with negative microscopy and positive PCR results were identified using χ2 test, t-test, and multivariate logistic regression analyses. Negative microscopy with positive PCR occurred in 31% (123/403) of the 403 cases. After adjusting for confounders, binary multivariate logistic regression analyses revealed that negative microscopy with positive PCR was associated with patients who were male (adjusted odds ration [OR] = 1.93 [1.06-3.53], P = 0.032), had previous leishmaniasis (adjusted OR = 2.93 [1.65-5.22], P < 0.0001), had larger lesions (adjusted OR = 1.02 [1.003-1.03], P = 0.016), and/or had a longer duration between lesion appearance and PCR testing (adjusted OR = 1.12 [1.02-1.22], P = 0.017). Future research should focus on further exploration of these underlying variables, discovery of other factors that may be associated with negative microscopy diagnosis, and the development and implementation of improved testing in endemic regions.