Vulvovaginal candidiasis, an increasing burden to women in the tropical regions attending Bharatpur Hospital, Chitwan.

Subedi A ，Upreti MK ，Rana JC ，Sapkota RP ，Thapa Shrestha U ... -  《-》

Emerging trends in pediatric candidemia: mapping the rise in Candida parapsilosis incidence and antifungal resistance in Turkey.

Candidemia is emerging as a significant concern in children, particularly among those with underlying conditions like malignancies or prematurity. The interpretation of epidemiological data on candidemias and their antifungal resistance plays a vital role in aiding diagnosis and guiding clinicians in treatment decisions. From 2014 to 2021, a retrospective analysis was conducted in İstanbul, Turkey; comparing Candida albicans and non-albicans (NAC) spp in both surviving and deceased groups. Furthermore, an examination of Candida parapsilosis and other species was performed, assessing various clinical and laboratory parameters. Among 93 patients, with a median age of 17 months, C. parapsilosis emerged as the predominant isolated species (44%), followed by C. albicans (34.4%). Resistance to fluconazole, voricanozole, and echinocandins, along with a history of broad-spectrum antibiotic use were found to be significantly higher in the non-albicans Candida group compared to C. albicans group. In the C. parapsilosis group, statistically lower age was identified in comparison to the other groups (P = .018). In addition, high fluconazole and voriconazole resistance was detected in Candida parapsilosis spp. Our study highlights a notable prevalence of C. parapsilosis, particularly in younger children, which is different from similar studies in childhood. This trend may be attributed to the common use of total parenteral nutrition and central venous catheter in gastrointestinal disorders and metabolic diseases. Furthermore, as anticipated, high azole resistance is noted in C. parapsilosis and other non-albicans Candida species. Interestingly, resistance to both amphotericin B and echinocandins within this group has been notably high. It is crucial to emphasize the considerable antifungal resistance seen in C. parapsilosis isolates.

Önal P ，Aygün FD ，Sever GA ，Eren BA ，Kes G ，Aygün F ，Zübarioğlu T ，Beşer ÖF ，Ocak S ，Yazgan Z ，Zeybek ÇA ，Aygün G ，Camcıoğlu Y ，Çokuğraş H ... -  《-》

Three-Dose Antifungal Treatment Improves the Efficacy for Severe Vulvovaginal Candidiasis.

Vulvovaginal candidiasis (VVC) is a prevalent gynecological infection characterized by high incidence and recurrent episodes, causing significant distress in women. This study aims to assess the effectiveness of different clotrimazole and fluconazole treatment regimens for severe vulvovaginal candidiasis (SVVC). A retrospective analysis was conducted on 1303 cases of SVVC among first-time visitors to the gynecology outpatient department at Peking University Shenzhen Hospital between January 2013 and December 2022. Vaginal secretions were systematically collected for fungal culture, with species identification conducted using Chromogenic culture medium and API Candida test reagents. Mycological cure rates were assessed at days 7-14, days 25-35, and day 35 to 6 months after treatment. The three-dose clotrimazole regimen demonstrated significantly higher mycological cure rates (85.7%, 80.0% and 74.6% at three follow-up periods, respectively) compared to the two-dose clotrimazole regimen (76.0%, 61.6%, and 59.8%, all P < 0.05). The three-dose fluconazole regimen showed no significant difference to three-dose clotrimazole regimen, with cure rates of 82.8%, 79.3%, and 75.9% (all P > 0.05). The two-dose fluconazole regimen had cure rates of 74.3%, 56.4% and 51.1%, with no significant difference from two-dose clotrimazole regimen at days 7-14 and 25-35, but lower than three-dose fluconazole regimen at days 25-35 and 35 to 6 months. The three-dose clotrimazole regimen demonstrated higher cure rates in Candida albicans and non-albicans Candida SVVC cases than two-dose regimen. These findings suggest that three-dose antifungal regimens may be more efficacious than two-dose regimens for SVVC. The three-dose clotrimazole regimen could serve as a promising alternative for SVVC management.

Xiao Z ，Liang Y ，Zhang X ，Zhu Y ，Huang L ，Fan S ... -  《-》

Integrating Clinical and Microbiological Expertise to Improve Vaginal Candidiasis Management.

Vaginal candidiasis (VC) is a prevalent condition among women of reproductive age and poses a significant global public health challenge. However, the disease is often diagnosed and treated without mycological information. We investigated the epidemiology, laboratory diagnostics, and antifungal susceptibility of VC. We included 300 women from Çukurova University Obstetrics and Gynecology outpatient clinic in Adana, Türkiye. Participants underwent a health survey and provided vaginal swab samples for microscopic examination and fungal culture. The microscopic analysis involved wet-mount and gram-stained slides, whereas fungal identification involved CHROMAgar Candida, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), and real-time polymerase chain reaction high-resolution melting analysis (RT-PCR HRMA). Antifungal susceptibility tests were conducted at pH 7 and 4 using the CLSI document M44-A2. Of the 106 women with positive fungal cultures, 86.8% were diagnosed with VC, whereas 13.2% showed Candida colonization. Among those with VC, 55.4% had acute and 44.6% had recurrent VC; a family history of allergies increased the risk for both types. We recovered 115 yeast isolates, predominantly C. albicans, C. glabrata, and C. krusei. Diagnostic accuracy of CHROMAgar Candida was 91.3% for the most common isolates, and HRMA was consistent in differential diagnosis. Antifungal resistance varied with pH; susceptibility to fluconazole, itraconazole, and ketoconazole decreased at pH 4, whereas susceptibility to miconazole increased. Our findings underscore the need for a diagnostic algorithm and enhanced collaboration between clinicians and microbiologists to improve VC management. Recommendations include using Gram staining, CHROMAgar Candida, MALDI-TOF MS, and antifungal susceptibility tests at both pH levels.

Karakoyun AS ，Unal N ，Sucu M ，Bingöl O ，Unal I ，Ilkit M ... -  《-》

Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.

Survival estimation for patients with symptomatic skeletal metastases ideally should be made before a type of local treatment has already been determined. Currently available survival prediction tools, however, were generated using data from patients treated either operatively or with local radiation alone, raising concerns about whether they would generalize well to all patients presenting for assessment. The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA), trained with institution-based data of surgically treated patients, and the Metastases location, Elderly, Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy model (METSSS), trained with registry-based data of patients treated with radiotherapy alone, are two of the most recently developed survival prediction models, but they have not been tested on patients whose local treatment strategy is not yet decided. (1) Which of these two survival prediction models performed better in a mixed cohort made up both of patients who received local treatment with surgery followed by radiotherapy and who had radiation alone for symptomatic bone metastases? (2) Which model performed better among patients whose local treatment consisted of only palliative radiotherapy? (3) Are laboratory values used by SORG-MLA, which are not included in METSSS, independently associated with survival after controlling for predictions made by METSSS? Between 2010 and 2018, we provided local treatment for 2113 adult patients with skeletal metastases in the extremities at an urban tertiary referral academic medical center using one of two strategies: (1) surgery followed by postoperative radiotherapy or (2) palliative radiotherapy alone. Every patient's survivorship status was ascertained either by their medical records or the national death registry from the Taiwanese National Health Insurance Administration. After applying a priori designated exclusion criteria, 91% (1920) were analyzed here. Among them, 48% (920) of the patients were female, and the median (IQR) age was 62 years (53 to 70 years). Lung was the most common primary tumor site (41% [782]), and 59% (1128) of patients had other skeletal metastases in addition to the treated lesion(s). In general, the indications for surgery were the presence of a complete pathologic fracture or an impending pathologic fracture, defined as having a Mirels score of ≥ 9, in patients with an American Society of Anesthesiologists (ASA) classification of less than or equal to IV and who were considered fit for surgery. The indications for radiotherapy were relief of pain, local tumor control, prevention of skeletal-related events, and any combination of the above. In all, 84% (1610) of the patients received palliative radiotherapy alone as local treatment for the target lesion(s), and 16% (310) underwent surgery followed by postoperative radiotherapy. Neither METSSS nor SORG-MLA was used at the point of care to aid clinical decision-making during the treatment period. Survival was retrospectively estimated by these two models to test their potential for providing survival probabilities. We first compared SORG to METSSS in the entire population. Then, we repeated the comparison in patients who received local treatment with palliative radiation alone. We assessed model performance by area under the receiver operating characteristic curve (AUROC), calibration analysis, Brier score, and decision curve analysis (DCA). The AUROC measures discrimination, which is the ability to distinguish patients with the event of interest (such as death at a particular time point) from those without. AUROC typically ranges from 0.5 to 1.0, with 0.5 indicating random guessing and 1.0 a perfect prediction, and in general, an AUROC of ≥ 0.7 indicates adequate discrimination for clinical use. Calibration refers to the agreement between the predicted outcomes (in this case, survival probabilities) and the actual outcomes, with a perfect calibration curve having an intercept of 0 and a slope of 1. A positive intercept indicates that the actual survival is generally underestimated by the prediction model, and a negative intercept suggests the opposite (overestimation). When comparing models, an intercept closer to 0 typically indicates better calibration. Calibration can also be summarized as log(O:E), the logarithm scale of the ratio of observed (O) to expected (E) survivors. A log(O:E) > 0 signals an underestimation (the observed survival is greater than the predicted survival); and a log(O:E) < 0 indicates the opposite (the observed survival is lower than the predicted survival). A model with a log(O:E) closer to 0 is generally considered better calibrated. The Brier score is the mean squared difference between the model predictions and the observed outcomes, and it ranges from 0 (best prediction) to 1 (worst prediction). The Brier score captures both discrimination and calibration, and it is considered a measure of overall model performance. In Brier score analysis, the "null model" assigns a predicted probability equal to the prevalence of the outcome and represents a model that adds no new information. A prediction model should achieve a Brier score at least lower than the null-model Brier score to be considered as useful. The DCA was developed as a method to determine whether using a model to inform treatment decisions would do more good than harm. It plots the net benefit of making decisions based on the model's predictions across all possible risk thresholds (or cost-to-benefit ratios) in relation to the two default strategies of treating all or no patients. The care provider can decide on an acceptable risk threshold for the proposed treatment in an individual and assess the corresponding net benefit to determine whether consulting with the model is superior to adopting the default strategies. Finally, we examined whether laboratory data, which were not included in the METSSS model, would have been independently associated with survival after controlling for the METSSS model's predictions by using the multivariable logistic and Cox proportional hazards regression analyses. Between the two models, only SORG-MLA achieved adequate discrimination (an AUROC of > 0.7) in the entire cohort (of patients treated operatively or with radiation alone) and in the subgroup of patients treated with palliative radiotherapy alone. SORG-MLA outperformed METSSS by a wide margin on discrimination, calibration, and Brier score analyses in not only the entire cohort but also the subgroup of patients whose local treatment consisted of radiotherapy alone. In both the entire cohort and the subgroup, DCA demonstrated that SORG-MLA provided more net benefit compared with the two default strategies (of treating all or no patients) and compared with METSSS when risk thresholds ranged from 0.2 to 0.9 at both 90 days and 1 year, indicating that using SORG-MLA as a decision-making aid was beneficial when a patient's individualized risk threshold for opting for treatment was 0.2 to 0.9. Higher albumin, lower alkaline phosphatase, lower calcium, higher hemoglobin, lower international normalized ratio, higher lymphocytes, lower neutrophils, lower neutrophil-to-lymphocyte ratio, lower platelet-to-lymphocyte ratio, higher sodium, and lower white blood cells were independently associated with better 1-year and overall survival after adjusting for the predictions made by METSSS. Based on these discoveries, clinicians might choose to consult SORG-MLA instead of METSSS for survival estimation in patients with long-bone metastases presenting for evaluation of local treatment. Basing a treatment decision on the predictions of SORG-MLA could be beneficial when a patient's individualized risk threshold for opting to undergo a particular treatment strategy ranged from 0.2 to 0.9. Future studies might investigate relevant laboratory items when constructing or refining a survival estimation model because these data demonstrated prognostic value independent of the predictions of the METSSS model, and future studies might also seek to keep these models up to date using data from diverse, contemporary patients undergoing both modern operative and nonoperative treatments. Level III, diagnostic study.

Lee CC ，Chen CW ，Yen HK ，Lin YP ，Lai CY ，Wang JL ，Groot OQ ，Janssen SJ ，Schwab JH ，Hsu FM ，Lin WH ... -  《-》