Detection of SARS-CoV-2 infection by exhaled breath spectral analysis: Introducing a ready-to-use point-of-care mass screening method.

BACKGROUND: The current SARS-CoV-2 pandemic created an urgent need for rapid, infection screening applied to large numbers of asymptomatic individuals. To date, nasal/throat swab polymerase chain reaction (PCR) is considered the "gold standard". However, this is inconducive to mass, point-of-care (POC) testing due to person discomfort during sampling and a prolonged result turnaround. Breath testing for disease specific organic compounds potentially offers a practical, rapid, non-invasive, POC solution. The study compares the Breath of Health, Ltd. (BOH) breath analysis system to PCR's ability to screen asymptomatic individuals for SARS-CoV-2 infection. The BOH system is mobile and combines Fourier-transform infrared (FTIR) spectroscopy with artificial intelligence (AI) to generate results within 2 min and 15 s. In contrast to prior SARS-CoV-2 breath analysis research, this study focuses on diagnosing SARS-CoV-2 via disease specific spectrometric profiles rather than through identifying the disease specific molecules. METHODS: Asymptomatic emergency room patients with suspected SARS-CoV-2 exposure in two leading Israeli hospitals were selected between February through April 2021. All were tested via nasal/throat-swab PCR and BOH breath analysis. In total, 297 patients were sampled (mean age 57·08 ± SD 18·86, 156 males, 139 females, 2 unknowns). Of these, 96 were PCR-positive (44 males, 50 females, 2 unknowns), 201 were PCR-negative (112 males, 89 females). One hundred samples were used for AI identification of SARS-CoV-2 distinguishing spectroscopic wave-number patterns and diagnostic algorithm creation. Algorithm validation was tested in 100 proof-of-concept samples (34 PCR-positive, 66 PCR-negative) by comparing PCR with AI algorithm-based breath-test results determined by a blinded medical expert. One hundred additional samples (12 true PCR-positive, 85 true PCR-negative, 3 confounder false PCR-positive [not included in the 297 total samples]) were evaluated by two blinded medical experts for further algorithm validation and inter-expert correlation. FINDINGS: The BOH system identified three distinguishing wave numbers for SARS-CoV-2 infection. In the first phase, the single expert identified the first 100 samples correctly, yielding a 1:1 FTIR/AI:PCR correlation. The two-expert second-phase also yielded 1:1 FTIR/AI:PCR correlation for 97 non-confounders and null correlation for the 3 confounders. Inter-expert correlation was 1:1 for all results. In total, the FTIR/AI algorithm demonstrated 100% sensitivity and specificity for SARS-CoV-2 detection when compared with PCR. INTERPRETATION: The SARS-CoV-2 method of breath analysis via FTIR with AI-based algorithm demonstrated high PCR correlation in screening for asymptomatic individuals. This is the first practical, rapid, POC breath analysis solution with such high PCR correlation in asymptomatic individuals. Further validation is required with a larger sample size. FUNDING: Breath of Health Ltd, Rehovot, Israel provided study funding.

Algorithmic prediction of failure modes in healthcare.

BACKGROUND: Preventing medical errors is crucial, especially during crises like the COVID-19 pandemic. Failure Modes and Effects Analysis (FMEA) is the most widely used prospective hazard analysis in healthcare. FMEA relies on brainstorming by multi-disciplinary teams to identify hazards. This approach has two major weaknesses: significant time and human resource investments, and lack of complete and error-free results. OBJECTIVES: To introduce the algorithmic prediction of failure modes in healthcare (APFMH) and to examine whether APFMH is leaner in resource allocation in comparison to the traditional FMEA and whether it ensures the complete identification of hazards. METHODS: The patient identification during imaging process at the emergency department of Sheba Medical Center was analyzed by FMEA and APFMH, independently and separately. We compared between the hazards predicted by APFMH method and the hazards predicted by FMEA method; the total participants' working hours invested in each process and the adverse events, categorized as 'patient identification', before and after the recommendations resulted from the above processes were implemented. RESULTS: APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA: the former used 21 h whereas the latter required 63 h. Following the implementation of the recommendations, the adverse events decreased by 44% annually (P = 0.0026). Most adverse events were preventable, had all recommendations been fully implemented. CONCLUSION: In light of our initial and limited-size study, APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA. APFMH is suggested as an alternative to FMEA since it is leaner in time and human resources, ensures more complete hazard identification and is especially valuable during crisis time, when new protocols are often adopted, such as in the current days of the COVID-19 pandemic.

Clostridium difficile Infection: Associations with Chemotherapy, Radiation Therapy, and Targeting Therapy Treatments.

BACKGROUND: Although mucositis, diarrhea, and constipation as well as immunosuppression are well recognized side-effects of cancer treatment, the underlying mechanisms including changes in the composition of gut microbiota and Clostridium difficile infection have not yet been thoroughly reviewed. OBJECTIVE: We herein set out to review the literature regarding the relations between cancer chemotherapy, radiation treatment, and Clostridium difficile-associated colitis. METHOD: Review of the English language literature published from 2008 to 2015 on the association between cancer chemotherapy, radiation treatment, and C. difficile-associated colitis. RESULTS: Certain chemotherapeutic combinations, mainly those containing paclitaxel, are more likely to be followed by C. difficile infection (CDI), while some tumor types are more likely to be complicated by CDI following chemotherapy. CDI following irradiation occurs mostly in patients who were treated for cancer in the head and neck area. Risk factors found were proton pump inhibitors, antibiotics, cytostatic agents, and tube feeding. The drug of choice for an initial episode of mild-to-moderate CDI is metronidazole, whereas vancomycin is reserved for an initial episode of severe CDI. Fidaxomycin is another option for treatment of severe CDI, with fewer recurrences. CONCLUSION: The influence of CDI on the treatment of oncological patients is not fully acknowledged. Infection with C. difficile is more frequent in those patients treated by antibiotics simultaneously with chemotherapy. Aggressive supportive care with intravenous hydration, antibiotics, and close surgical monitoring for selective intervention can significantly decrease the morbidity and life-threatening complications associated with this infection.

The Possible Role of Infertility Drugs in Later Malignancy: A Review.

BACKGROUND: Some 15% of all couples in the industrialized world suffer from infertility. Accordingly, any possible life-long morbidity that may result from treatments for infertility presents a significant concern to public health. The use of medications for infertility is specifically relevant to their possible effects on the classical target tissues for hormones involved in the sex axes, i.e., uterus, ovaries, and breast, but may have an effect on other organs, which harbor receptors for some of the hormones involved in reproduction. When one deals with the effect of treatment for infertility on the occurrence of malignant conditions, there is no doubt that certain malignancies tend to occur more frequently in women who suffered from and/or were treated for infertility. OBJECTIVE: To review the accumulated data on the association of treatments for infertility with subsequent malignancies both in the classical target organs of sex steroids and in non-target organs. METHODS: Systematic compilation of the relevant literature. RESULTS & CONCLUSION: Contrary to popular believes, treatment for infertility is associated with very little increase in malignacies.