Papanicolaou and Kruger assessment of sperm morphology: thresholds and agreement.

The current World Health Organization guidelines (1992) suggest that the presence of > or = 30% normal sperm forms (i.e. PAP criteria) is consistent with normal semen quality. Critical evaluation of sperm morphology (CE; Kruger classification) has shown an excellent correlation with human in vitro fertilization. Utilizing Kruger criteria, > 14% normal sperm forms has been proposed as indicative of normal semen quality. We have performed a retrospective analysis on 261 individuals to assess the agreement between PAP and Kruger criteria for normal sperm morphology (NSM). When the threshold for NSM by PAP was set at 30%, a significant agreement was found between the percentage normal forms of both criteria (Kappa coefficient = 0.37; p < 0.001). Sixty-seven (92%) of the 73 men found to have abnormal sperm morphology by PAP had abnormal semen by Kruger classification. When the threshold for NSM by PAP was established at 50%, the Kappa coefficient was 0.48 (p < 0.001). Sixty of the 72 samples (83%) classified as normal by PAP staining were normal by Kruger criteria. Interestingly, when NSM by PAP was between 30 and 50%, the specimen was just as likely to have normal or abnormal sperm morphology by Kruger (40 vs. 60%, respectively). These results strongly suggest that a high or low percentage of NSM by PAP is in agreement with the Kruger classification. The excellent agreement of Kruger and WHO criteria at the extremes (< 30% and > 50%) may obviate the need for Kruger assessment. However, when WHO morphology is between 30 and 50%, the addition of Kruger evaluation may provide meaningful information to help better diagnose a patient and plan his treatment.

Response of routine semen analysis and critical assessment of sperm morphology by Kruger classification to therapeutic varicocelectomy.

PURPOSE: We studied the effect of varicocelectomy on Kruger morphology and semen parameters. MATERIALS AND METHODS: A total of 33 subfertile men diagnosed with varicoceles was evaluated 3 months before, and 3 to 4 and 6 to 8 months after varicocelectomy. Evaluation involved routine semen analysis and sperm morphology using Kruger classification. RESULTS: Significant improvement in sperm concentration and count was found after varicocelectomy (sperm count preoperatively 117.1 +/- 29, 3 to 4 months postoperatively 162.5 +/- 41 and 6 to 8 months postoperatively 139.8 +/- 25 million sperm, p = 0.0095). Using Kruger classification, evaluation of sperm morphology revealed overall significant increase in percentage of normal A forms at 3 to 4 and 6 to 8 months after surgery (from 9.8 +/- 5.8% A forms, 13.6 +/- 7.7% A forms, and 14.5 +/- 7.5% A forms, respectively, p = 0.0002, normal greater than 14%). Twelve of the 26 patients (46%) with abnormal sperm morphology preoperatively and greater than 4% A forms reached normal levels 3 months postoperatively. Six months after surgery only 6 patients maintained normal values and 3 of the initial 14 nonresponders became normal (9 of 26, 36%). Three patients with severe teratozoospermia (less than 4% A forms) showed improvement in sperm morphology. Four patients with normal sperm morphology preoperatively were not affected by varicocelectomy. CONCLUSIONS: Surgical correction of varicocele was associated with significant improvement in sperm morphology evaluated using Kruger classification. Concentration and count improved after varicocelectomy. Changes were observed as early as 3 months after surgery.

Creating a computer-aided intellectual environment for a consultative center of intensive care.

A consultative centre for intensive pediatrics (cip) is a center for rendering aid to children in urgent conditions who are hundreds kilometers from specialized help. Such aid is typically rendered by: 1)moving the patient to the another hospital, 2) the specialized team going out by plane, or 3) consulting the local physician by phone. The complexities of the cip dispatcher-consultation of the local physician entail a real-time system that provides a consultant with simultaneous operation with a computer and a local doctor over a phone. In 1987, a computer program, DINAR-1, was used. The core of this program was the scale of a patient's state severity "FHD-5.4" and essential elements of informative services: both a reference subsystem and one accumulating and analyzing data about cip activities, treated patients, and faults in the system of medical care. Two years of DINAR-usage showed the necessity of strengthening the decision support system for cip consultant. In 1989, a new program variant, DINAR-2, was completed. During the new variant's creation, we developed a model of decision making under conditions of information distortion (e.G., as a result of the subconscious influence of diagnostical hypotheses). This model was necessary for DINAR-2, because the most part of all information for decision making had subjective issue. Distinctions between levels of medical aid at the spot (in local hospitals) demanded the special assessment of a patient's state severity in order to adequately choose between tactical activities of the CIP. The severity of a patient's state original index depended on necessary therapy type; volume was developed. Special methodological interaction expedients between the user and the decision making system were verified in DINAR-2. The following improvements were also developed: subsystem of tuning on a definite area (1990); block of analytical final instructions on a patient's treatment (1991); visualization of introduced information (1991); determination of factors causing aggravation of a patient state (1992); and specialized subsystem of consultation of neonatals (1993). During the work, CIP got a new important function. CIP became a methodical center of the medical children aid. In keeping with this, a collection and analysis of information for regional health ministry became important part of DINAR-2. It is especially connected with touched discovery and analysis of medical defects. A system of child's death-rate analysis was especially created to make impartial decisions (1990). Expert subsystems had also an original continuation. This subsystem became a basis of the new system DINAR-created for the common pediatric physician who is attending a severely ill child. A principle addition to this system is a more complicated method of tactic solution choice. The technology of CIP supported by DINAR-systems had been bought by 35 different regions of the former USSR by 1994 (1989: one region; 1990: 2; 1991: 5; 1992: 10; 1993: 17 regions). The total population of all these regions is more than 59,000,000 people, and the total area is more than 11 million square kilometers. The main direction of DINAR's development is the creation of a regional computer network, allowing DINAR-to communicate with DINAR-in local hospitals. The first place for the usage of such a network is going to be the Big Urals Region. Big Ural consists of eight states. The total population of this territory is 28 million people and total area is 3.1 million square km. Computer networks will link eight regional CIPs to one another and the medical analytical center. The CIPs will have to be connected with 259 local hospitals. At present, the DINAR-2-CIP is installed in six states of the Big Ural, and DINAR-H is installed in four hospitals of the Sverdlovsk state.