Diagnostic Algorithm Research Articles

Interatrial Communications: Prevalence and Subtypes in 12,385 Newborns-a Copenhagen Baby Heart Study.

The prevalence of interatrial communications in newborns, i.e., patent foramen ovale or atrial septal defect, was previously reported to be between 24 and 92%, but the area has been impeded by lack of a universal classification method. A recently published novel echocardiographic diagnostic algorithm for systematic classification of interatrial communications had inter-and intraobserver agreements superior to standard expert assessment. This study aimed to determine the prevalence of subtypes of interatrial communications on transthoracic echocardiography in newborns. Echocardiograms of newborns aged 0-30days were prospectively collected in the population-based cohort study Copenhagen Baby Heart Study in 2017-2018 and analyzed according to the new diagnostic algorithm, classifying interatrial communications into three subtypes of patent foramen ovale and three subtypes of atrial septal defects. Echocardiograms from 15,801 newborns were analyzed; 3416 (21.6%) were excluded due to suboptimal image quality or severe structural heart disease (n = 3), leaving 12,385 newborns (aged 12 [interquartile range 8; 15] days, 48.2% female) included in the study. An interatrial communication was detected in 9766 (78.9%) newborns. According to the algorithm, 9029 (72.9%) had a patent foramen ovale, while 737 (6.0%) fulfilled criteria for an atrial septal defect, further divided into subtypes. An interatrial communication was seen on echocardiography in almost 80% of newborns aged 0-30days. Patent foramen ovale was 12 times more frequent than atrial septal defects. The observed prevalence of atrial septal defects was higher than previously reported. Follow up studies could distinguish which interatrial communications require follow-up or intervention. ClinicalTrial.gov, NCT02753348, posted April 27, 2016, [ https://classic.clinicaltrials.gov/ct2/show/NCT02753348 ].

The Performance of the Current Algorithm of HIV Diagnosis.

We aimed to evaluate the performance of the current algorithm the HIV diagnosis that has been performed for four years. Results of HIV Ag/Ab tests, anti-HIV 1/2 confirmatory tests, HIV-1 RNA tests and the time for official results to be approved were evaluated. The relationship of HIV Ag/Ab tests, anti-HIV 1/2 confirmation tests and HIV-1 RNA PCR tests, their result times and suitability to the algorithm were examined at Izmir Dokuz Eylül University between May 2017 and June 2021. HIV Ag/Ab ELISA was reactive repetitively in 165/54628 (0.30%) serum samples. Anti-HIV 1/2 confirmation test was reactive in 54.42% (80/147) of samples. The most common pattern (18.2%) in the confirmation tests was the positivity of the antibodies against gp160 - gp41 envelope glycoproteins together. The mean reporting time of the confirmation test result was 3h 50 min after the ELISA test. The mean reporting time of the HIV-1 RNA PCR was 12.79 d (±10.22) after the ELISA test and 12.63 (± 10.12) day after the confirmation test. In ROC analysis, the estimated rate of the ELISA test for the confirmation test was highest when S/CO was >13.16 (sensitivity: 97.59 %, specificity: 97.59%). The confirmation test in the current algorithm enabled the rapid test results, early diagnosis of HIV and early antiretroviral therapy. To use the new algorithm effectively, decentralization of the validation tests would be appropriate.

Establishing the Interrelations of the Laboratory Parameters in the Gut-Kidney Axis in Cats with Signs of Triple Phosphate Urolithiasis

Introduction. Efficient treatment of the feline urolithiasis much depends on the early diagnosis of the disease, however, the diagnostic algorithm of this type of pathology is extremely poor due to the various reasons, in particular, it does not take into account the interrelations in the gut-kidney axis. Analysis of the state of gastrointestinal tract functioning and the composition of the gut microbiota can improve the potential of diagnosing the urolithiasis, predict the risk, improve the prognosis and choose the correct treatment strategy. The aim of this publication is to establish the interrelations of the laboratory parameters in the gut-kidney axis in cats with struvite urolithiasis with the signs of cystolithiasis.Materials and Methods. The objects of the research were the outbred cats with the triple phosphate urolithiasis with the signs of cystolithiasis: 1st experimental group — females; 2nd experimental group — neutered males; the control group — clinically healthy animals of both sexes. The laboratory and clinical examinations of sick animals included: ultrasonography of abdominal organs; macroscopic and biochemical urine tests; microscopy of urine sediment and urine culture test without determination of antibiotic sensitivity; macroscopic, microscopic and simple chemical examinations of freshly excreted feces; bacteriological culture test of rectal flushes without determination of antibiotic sensitivity.Results. In the urine of cats of the experimental groups, under the activity of gram-negative microorganisms Escherichia coli (0.03±0.01×106 CFU (colony forming units) and 1.00±0.03×106 CFU) and gram-positive microorganisms Staphilococcus intermedius (1.05±0.07×106 CFU and 1.00±0.08×107 CFU) there were recorded within the microscope field of view: alkalization, development of hypersthenuria, proteinuria, hypercalciuria, hematuria, including microhematuria and leukocyturia, crystalluria. The results of coprological examinations in sick cats indicated the presence of stercobilin, well-digested muscle fibres, undigested and digested cellulose, extracellular and intracellular starch, as well as impurities of non-food origin (wool). The data of microbiological examinations of feces indicated the growth of Escherichia coli (1.00±0.05×105 CFU and 1.04±0.08×107 CFU). Along with the cystolytiasis, the acoustic shadowing of the gastrointestinal tract organs in the experimental animals revealed the hyperechogenicity of liver capsule and parenchyma and heterogeneity of the pattern.Discussion and Conclusion. The revealed character of the laboratory parameter changes in the experimental animals, such as the increase of protein and creatinine levels in urine and growth of Escherichia coli in feces, proved the existence of the pathogenetic relationship between the urogenital tract lesion caused by the gram-negative microorganisms and the gut microbiota in the gut-kidney axis. The results of our study of the sick animals’ urine indicated on the infection of the urogenital tract with the urease-producing microorganisms, which led to the alkalization of urine and formation of the infection struvite stones. Urolithiasis, in turn, had an impact on the gut microbiome due to the topographic proximity of the urogenital and gastrointestinal tracts: examination of feces in cats of the experimental group had confirmed the disorder of gastrointestinal tract functioning due to dysbiotic processes in the large intestine.

Management of Clostridioides difficile infection: an Italian Delphi consensus.

Clostridioides difficile infection (CDI), a leading cause of nosocomial deaths, is a microbiota-mediated disease. As such, the use of broader spectrum antibiotics, such as vancomycin and metronidazole, can prime the gastrointestinal tract to become more prone to CDI recurrences. Fidaxomicin, a narrow-spectrum antibiotic, has been demonstrated to be superior in preventing recurrence and in preserving the intestinal microbiota; however, widespread employment worldwide has been hindered due to high acquisition costs. To integrate the currently available guidelines on the management of CDI and to shed light on the timeliest employment of fidaxomicin. An expert panel was gathered to obtain consensus using Delphi methodology on a series of statements regarding the management of CDI and on appropriate antibiotic use. Consensus was reached on 21 of the 25 statements addressing the management of CDI. Delphi methodology was used to achieve consensus on the management of CDI, on the identification of patients at risk of recurrences or severe infection, and on the most appropriate use of fidaxomicin, with the final aim of fostering clinical practice application of treatment algorithms proposed by previous guidelines, in absolute synergy. It could be an important tool to promote more appropriate and cost-effective CDI treatments in European settings with limited resources, like Italy.

Antipsychotic-Induced Parkinsonism: A Risk Assessment Scale and Personalised Diagnosis Algorithm

Antipsychotic-Induced Parkinsonism: A Risk Assessment Scale and Personalised Diagnosis Algorithm

Extraskeletal Ewing Sarcoma Disguised as a Vascular Malformation.

Extraskeletal Ewing sarcoma (EES) is a rare entity, accounting for only 3% of lesions encountered in upper extremity. We present two paediatric patients, who were initially diagnosed with a vascular malformation based on clinical assessment and imaging. Final histopathology revealed Ewing sarcoma of soft tissue origin, confirmed by immunohistochemical analysis. Hand surgeons, who are routinely approached for a myriad of hand pathologies, should be wary and consider EES as a differential when treating such lesions. A multidisciplinary approach with an appropriate treatment algorithm can help in a speedy diagnosis, improving the long-term prognosis of the disease. Level of Evidence: Level V (Therapeutic).

Validation of an In Vitro Diagnostic Test for Endometriosis: Impact of Confounding Medical Conditions and Lesion Location.

With the aim to shorten the time for diagnosis and accelerate access to correct management, a non-invasive diagnostic test for endometriosis was developed and validated. The IVD test combines an ELISA test kit to quantify CA125 and BDNF concentrations in serum and a data treatment algorithm hosted in medical software processing results from the ELISA test and responses to six clinical variables. Serum samples and clinical variables extracted from psychometric questionnaires from 77 patients were collected from the Oxford Endometriosis CaRe Centre biobank (UK). Case/control classification was performed based on laparoscopy and histological verification of the excised lesions. Biomarkers serum concentrations and clinical variables were introduced to the software, which generates the qualitative diagnostic result ("positive" or "negative"). This test allowed the detection of 32% of cases with superficial endometriosis, which is an added value given the limited efficacy of existing imaging techniques. Even in the presence of various confounding medical conditions, the test maintained a specificity of 100%, supporting its suitability for use in patients with underlying medical conditions.

Ambient Mass Spectrometry and Machine Learning-Based Diagnosis System for Acute Coronary Syndrome.

Aims: The purpose of this study is to establish a novel diagnosis system in early acute coronary syndrome (ACS) using probe electrospray ionization-mass spectrometry (PESI-MS) and machine learning (ML) and to validate the diagnostic accuracy. Methods: A total of 32 serum samples derived from 16 ACS patients and 16 control patients were analyzed by PESI-MS. The acquired mass spectrum dataset was subsequently analyzed by partial least squares (PLS) regression to find the relationship between the two groups. A support vector machine, an ML method, was applied to the dataset to construct the diagnostic algorithm. Results: Control and ACS groups were separated into the two clusters in the PLS plot, indicating ACS patients differed from the control in the profile of serum composition obtained by PESI-MS. The sensitivity, specificity, and accuracy of our diagnostic system were all 93.8%, and the area under the receiver operating characteristic curve showed 0.965 (95% CI: 0.84-1). Conclusion: The PESI-MS and ML-based diagnosis system are likely an optimal solution to assist physicians in ACS diagnosis with its remarkably predictive accuracy.

Traumatic hemipelvectomy : An uncommon case in trauma surgery

The challenge in treating traumatic hemipelvectomy is the dynamics of the complex and life-threatening consequences of the injury. These include skin and soft tissue defects, osseous, neural and vascular injuries as well as the subsequent hemostatic derangement and organ dysfunction as part of the shock process. The treatment requires rapid and targeted decisions to save the patient's life. In this particular case a34-year-old farmer was trapped between awheeled loader and astationary trailer. Upon arrival at the hospital the patient was in a state of hemorrhagic shock with accompanying acute traumatic coagulopathy and agradeIII open pelvic trauma with complete ischemia of the left leg and abladder injury. After performing emergency surgery and atwo-stage approach for pelvic stabilization the patient's condition deteriorated up to multiorgan failure, necessitating left-sided hemipelvectomy as an immediate life-saving salvage procedure. In the further course multiple revision surgeries and plastic reconstructions due to wound infections and the presence of skin and soft tissue damage were required. Due to the rare confrontation with this type of injury in everyday practice and the absence of auniversal treatment algorithm, the following case report is intended to contribute to abetter understanding of the treatment and to illustrate the coherent interactions of the individual organ systems affected.

Management of diabetes-related hyperglycaemic emergencies in advanced chronic kidney disease: Review of the literature and recommendations.

Despite the substantial progress in the management of diabetes mellitus (DM), chronic kidney disease (CKD) remains one of the most common complications. Although uncommon, diabetic emergencies [diabetic ketoacidosis (DKA), hyperosmolar hyperglycaemic state (HHS)] can still occur in stage 4 and 5 CKD, at times with less typical clinical manifestations due to the altered pathophysiology, presence of chronic metabolic acidosis and effect of haemodialysis on glycaemic control and metabolic parameters. The purpose of this article is to review the current literature and provide recommendations for the diagnosis and treatment of DKA, euglycaemic DKA and HHS in people with advanced CKD. Guidance on the management of diabetes-related emergencies mainly focuses on individuals with preserved renal function or early-stage CKD. Existing literature is limited, and recommendations are based on expert opinions and case reports. Given the clinical need for amended guidelines for this population, we are proposing a management algorithm for DKA and HHS based on clinical and metabolic parameters. In this review article, we propose treatment algorithms for diabetes-related hyperglycaemic emergencies in people with advanced CKD. Further research is needed to validate our proposed algorithms.

Macro-réimplantation du membre supérieur : état des lieux en 2024

Macro-amputations are extremely serious traumas and represent one of the rare extreme emergencies in hand and upper limb surgery. Their rarity, especially in our developed countries, makes their treatment relatively unknown by surgical and anesthetic teams. However, the action plan to use during a macro-reimplantation, the decisive elements of pre- and post-operative management, and the key stages of the surgery, must be perfectly known, because they determine the success of a major reimplantation, for the limb survival and the future functional result. After a brief historical overview, the literature review proposed here provides an opportunity for an update on these formidable injuries and propose a treatment algorithm to guide the medical team in the management of these complex patients.

Experimental and artificial intelligence optimization of paint wastewater (PWW) coagulation using novel Phaseolus vulgaris seed extract (PVSE)

This study investigated the application of artificial intelligence algorithms (AIA) in the coagulation treatment of paint wastewater anchored by novel Phaseolus vulgaris seed extract (PVSE). Untreated wastewater discharge harms the ecosystem, and therefore harmful industrial effluent, such as paint wastewater, must be brought to safe discharge levels before being released into the environment. In addition to AIA, comprehensive characterization tests, coagulation kinetics, and process optimization were also executed. Characterization results revealed that total solid in the PWW was above allowable standard, justifying the need for effective particle decontamination. The XRD and FTIR characterization indicated that PVSE structure is amorphous with abundant amine groups. Results of analysis of variance (ANOVA) obtained from process modeling indicated that the coagulation-flocculation process was a nonlinear quadratic system (F-value = 45.51) which was mostly influenced by PVSE coagulant dosage (F-value = 222.48; standardized effect = 14.85). Artificial intelligence indicated that neural network training effectively captured the nonlinear nature of the system in ANN (RMSE = 0.00040194; R = 0.98497), and ANFIS (RMSE = 0.003961) algorithms. Regression coefficient obtained from process modeling highlighted the suitability of RSM (0.9662), ANN (0.9739), and ANFIS (0.9718) in forecasting the coagulation-flocculation process, while comparative statistical appraisal authenticated the superiority of ANN model over RSM and ANFIS models. The coagulation kinetics experiment, which used a coagulation kinetic model, revealed a constant flocculation constant (Kf-value) for all jar test batches and a strong association between the Menkonu coagulation-flocculation constant (Km) and Kf values. Best removal efficiency of 97.01 % was obtained using ANN coupled genetic algorithm optimization (ANN-GA) at PVSE dosage of 4 g/L, coagulation time of 29 min and temperature of 25.1oC.

Hidradenitis suppurativa: review of international clinical guidelines for the diagnosis and treatment of the disease

Background. Hidradenitis suppurativa hidradenitis is a chronic recurrent inflammatory skin disease that develops after puberty and is characterized by the appearance of recurrent painful nodes, abscesses, the formation of fistula passages and scars on skin areas rich in apocrine sweat glands. Treatment of purulent hidradenitis is aimed at suppressing inflammation, relieving pain, preventing the formation of fistulas and scars. The objectives of this review. Summarize the information in the published international clinical guidelines for the diagnosis and treatment of purulent hidradenitis, their comprehensive assessment and comparison with each other. Methods. In the period from December 2022 to February 2023, scientific articles were searched in the PubMed database of the National Center for Biotechnological Information. Inclusion criteria: scientific articles in English, without date restrictions; interdisciplinary publications of specialists in which dermatovenereologists participated. Results. The analysis of the existing relevant international clinical recommendations for the diagnosis and treatment of purulent hidradenitis indicates the absence of specific treatment schemes and algorithms, criteria for evaluating the effectiveness of therapy. In the treatment of purulent hidradenitis, the use of external keratolytics, antiseptics and antibiotics is recommended. Among systemic drugs, antibiotics, retinoids, immunosuppressive agents, hormonal drugs are used. The highest therapeutic efficacy in patients with purulent hidradenitis was shown by genetically engineered drugs that inhibit TNF-α and IL-17A. Conclusions. Patients with purulent hidradenitis require various treatment approaches, including a variety of surgical interventions, depending on the stage, severity, prescription of the disease and the general condition of the patient. The basic principle is the individual selection of the treatment method for a particular patient. In this regard, there is a need to develop domestic clinical guidelines for the management of patients with purulent hidradenitis.

Rolling bearing fault diagnosis in electric motors based on IDIG-GAN under small sample conditions

Abstract The bearing fault diagnosis based on deep learning algorithms requires a substantial amount of data. However, in practical industrial production, the diagnostic algorithms tend to work ineffectively due to the limitations of samples. Therefore, in this article, we propose an improved method of deep convolutional generative adversarial networks (DCGAN) with discriminator gradient gap regularization (IDIG-GAN), which can effectively solve the problems of unstable training and poor training performance under a small sample dataset. Firstly, the self-attention mechanism is integrated into the DCGAN to capture global information to enhance the generalization capability of the network. Moreover, gradient normalization is applied to the discriminator to address the problem of vanishing gradients in the network. Furthermore, gradient gap regularization is incorporated into the loss function to narrow the gap between the discriminator gradient norms, thereby improving network stability when dealing with small fault datasets. Through training with the improved IDIG-GAN, then the generated samples are used to expand the dataset and construct a fault diagnosis model. By verifying under two bearing datasets, the results demonstrate that the proposed method can generate high-quality samples and effectively enhance the diagnostic capability of the network when working with small datasets.

Contemporary Treatment of Pulmonary Arterial Hypertension: A US Perspective.

Pulmonary arterial hypertension (PAH) is a complex fatal condition which requires aggressive treatment with close monitoring. Significant progress has been made over the last three decades in the treatment of PAH but despite this progress, survival has remained unacceptably low. In the quest to improve survival, therapeutic interventions play a central role. In the last few years, there have been remarkable attempts to identify novel treatments. Finally, we have had a breakthrough with the discovery of the fourth treatment pathway in PAH. Activin signaling inhibition distinguishes itself as a potential antiproliferative intervention as opposed to the traditional therapies which mediate their effect primarily by vasodilatation. With this novel treatment pathway, we stand at an important milestone with an exciting future ahead and the natural question of when to utilize Activin signaling inhibitor (ASI) for the treatment of PAH. In this state-of-the-art review, we focus on the placement of this novel agent in the PAH treatment paradigm based on the available evidence, with special focus on the US patient population. This review also provides an expert opinion of the current treatment algorithm on important subgroups of patients with comorbidities from the US perspective.

Combination of 2 Quantitative Immunoassays and Clinical Score Algorithm to Reduce False-Negative Results in Heparin-Induced Thrombocytopenia: Prevalence Study of Mauriziano Hospital in Turin, Italy.

Heparin-induced thrombocytopenia (HIT) is a serious adverse effect of heparin treatment caused by platelet-activating anti-platelet factor 4 (PF4)/heparin antibodies. Accurate diagnosis of HIT is essential but remains challenging. The aim of our study was to explore the performance of our optimized diagnostic laboratory algorithm, based on Chemiluminescence (CliA) and ELISA immunoassays, on suspected HIT patients. The study compared the prevalence of HIT diagnosis in A.O. Mauriziano with the literature. 163 consecutive patients were investigated for suspected HIT with CliA HemosIL Acustar HIT-IgG, Werfen. HIT was ruled out in all patients with CliA <0.13 U/mL. All patients with CliA >0.13 U/mL were further investigated with Zymutest-HIA anti-PF4 IgG ELISA immunoassay. In these patients, HIT was ruled out on the combination of CliA between 0.13 and 1.0 U/mL followed by ELISA assay <0.300 OD. HIT was ruled in patients whose plasma tested positive or doubtful with CliA and positive with ELISA immunoassay and confirmed positive with a platelet aggregation test (PAT). Suspicion of HIT was revealed with clinical 4Ts score or recent suggestive anamnestic history. Our diagnostic algorithm ruled out HIT diagnosis in 144/163 patients (88%) and predicted a positive PAT in 5/19 (26%) of CliA positive (4/5) or ELISA positive and CliA doubtful (1/5) patients. Our prevalence was 3.1%, comparable with the literature. The approach combining 2 quantitative immunoassays' (CliA and ELISA) results and 4Ts score probability was able to rule out the diagnosis within 1 h in 66% of patients with suspected HIT and within 24 h in 88% of patients. In the remaining 12% of cases, management decisions have to be based on individualized judgment while awaiting functional confirming results (48-72 h).

Diagnostic accuracy of the Clear Cell Likelihood Score and selected MRI parameters in the characterization of indeterminate renal masses - a single-institution study.

We aimed to assess the diagnostic accuracy of the clear cell likelihood score (ccLS) and value of other selected magnetic resonance imaging (MRI) features in the characterization of indeterminate small renal masses (SRMs). Fifty patients with indeterminate SRMs discovered on MRI between 2012 and 2023 were included. The ccLS for the characterization of clear cell renal cell carcinoma (ccRCC) was calculated and compared to the final diagnosis (ccRCC vs. 'all other' masses). The ccLS = 5 had a satisfactory accuracy of 64.0% and a very high specificity of 96.3%; however, its sensitivity of 26.1% was relatively low. Receiver operating curve (ROC) analysis revealed that from the selected MRI features, only T1 ratio and arterial to delayed enhancement (ADER) were good discriminators between ccRCC and other types of renal masses (area under curve, AUC = 0.707, p = 0.01; AUC = 0.673, p = 0.03; respectively). The cut-off points determined in ROC analysis using the Youden index were 0.73 (p = 0.01) for T1 ratio and 0.99 for ADER (p = 0.03). The logistic regression model demonstrated that ccLS = 5 and T1 ratio (OR = 15.5 [1.1-218.72], p = 0.04; OR = 0.002 [0.00-0.81], p = 0.04) were significant predictors of ccRCC. The ccLS algorithm offers an encouraging method for the standardization of imaging protocols to aid in the diagnosis and management of SRMs in daily clinical practice by enhancing detectability of ccRCC and reducing the number of unnecessary invasive procedures for benign or indolent lesions. However, its diagnostic performance needs multi-center large cohort studies to validate it before it can be incorporated as a diagnostic algorithm and will guide future iterations of clinical guidelines. The retrospective nature of our study and small patient population confined to a single clinical center may impact the generalizability of the results; thus, future studies are required to define whether employment of the T1 ratio or ADER parameter may strengthen the diagnostic accuracy of ccRCC diagnosis.

Potential Cost Savings with 60-day Peripheral Nerve Stimulation Treatment in Chronic Axial Low Back Pain.

Chronic axial low back pain (CLBP) that is not responsive to medication management or physical therapy often requires significant clinical intervention. Several interventional pain management options exist, including a 60-day peripheral nerve stimulation (PNS) treatment. This economic evaluation investigated the potential for projected cost savings associated with prioritizing 60-day PNS treatment relative to a 'standard of care' (SOC) approach (where patients do not have access to 60-day PNS). A decision tree (supervised machine learning) model tracked treatment progression across two hypothetical cohorts of US patients with CLBP in whom non-interventional options were ineffective (Cohort A: treatment starting with 60-day PNS followed by any additional interventional and surgical treatments versus Cohort B: standard of care interventional and surgical treatments without access to 60-day PNS). Treatment efficacy estimates were based on published success rates. Conditional on treatment failure, up to two additional interventions were considered within the 12-month time frame in both cohorts. SOC treatment options included epidural injection, radiofrequency ablation (RFA), basivertebral nerve ablation (BVNA), PNS permanent implant (PNS-PI), spinal cord stimulator (SCS) trial/implant, and spinal fusion surgery. Treatment choice probabilities in both cohort algorithms were based on clinician interviews. Costs were based on national Medicare reimbursement levels in the ambulatory surgery center (ASC) setting. Savings reflected the difference in projected costs between cohorts. A Monte Carlo simulation and sensitivity analyses were conducted to generate confidence intervals and identify important inputs. The treatment algorithm which prioritized initial 60-day PNS treatment was projected to save $8056 (95% CI $6112-$9981) per patient during the first year of interventional treatment relative to the SOC approach. Use of the 60-day PNS treatment as an initial interventional treatment in patients with CLBP may result in significant savings for Medicare. Projected savings may be even larger for commercial payers covering non-Medicare patients.

Acute diarrhea in the hospitalized immunocompromised patient: what is new on diagnostic and treatment?

This article aims to provide an intuitive framework for diagnosing and managing healthcare-associated diarrhea (HCAD) in the immunocompromised (IC) host. Our understanding of diarrhea in hospitalized IC patients has significantly evolved. However, the challenge lies in distinguishing between these patients' numerous causes of diarrhea. The incorporation of gastrointestinal (GI) multiplex polymerase chain reaction (PCR) panels has led to a paradigm shift in our approach to diarrhea. However, using these panels judiciously is of utmost importance, as their misuse can lead to over-testing, overtreatment, and increased hospital costs. We propose a stepwise diagnostic algorithm that ensures diagnostic stewardship, optimal patient care, and resource utilization. Diarrhea is a common complication in hospitalized IC patients and is associated with significant morbidity and rare mortality. The advent of new diagnostics, such as GI multiplex PCR panels, holds promise in facilitating the detection of recognized pathogens and may allow for improved outcomes using pathogen-targeted therapy.

Therapeutic management of peritonsillar abscess during COVID-19.

The purpose of this study is to examine the effects of the Covid-19 pandemic and lockdown policies in Germany on frequency and treatment of peritonsillar abscess at a tertiary referral center in Germany. This retrospective case-control study analyzed all cases of peritonsillar abscess treated from 03/01/2018 until 08/30/2022 at Augsburg ENT University Hospital, Germany, through abscess tonsillectomy and/ or incisional drainage. Data was collected and correlated to Covid-19 Stringency Index using codes based on the Institute for Hospital Remuneration System in Germany. After excluding 303 cases, 975 abscess tonsillectomy and incisional drainage cases were studied, with the first German lockdown serving as cutoff date. Treatment algorithm was maintained regardless of co-infection with Covid-19. A total of 174 patients received abscess tonsillectomy as therapy, while 801 patients underwent incisional drainage. Before the first German lockdown, 452 patients received incisional drainage. Since the pandemic, 349 cases of incisional drainage were registered (OR = 0.54, 95%-CI [0.27-0.86], p = 0.04), despite no significant change in the percentage of peritonsillar abscess of all ENT emergencies. The mean age at presentation with PTA was 39.8 years, and the rate of relapse was 4.0%. The study found no association between the scale of policy measures and treatment (OR = 1.00, 95%-CI [0.99-1.01], p = 0.52). The results indicate that, despite the reduction in capacities due to Covid-19, the proportion of patients with peritonsillar abscess treated through abscess tonsillectomy increased at Augsburg ENT University Hospital since the first German lockdown. Hospitalization times could still be reduced with comparable relapse rates.